diff --git a/cmorizing/ECHAM6.1/make_cmorizing_3hrdata_itczmip008.sh b/cmorizing/ECHAM6.1/make_cmorizing_3hrdata_itczmip008.sh
new file mode 100644
index 0000000000000000000000000000000000000000..baad7967afbae79aea17e57dd57c4c45f726c612
--- /dev/null
+++ b/cmorizing/ECHAM6.1/make_cmorizing_3hrdata_itczmip008.sh
@@ -0,0 +1,259 @@
+#!/bin/bash
+
+# set variables
+
+expin=itczmip008
+expout=Land4xCO2
+
+model=echam6-1
+
+year1=0133
+year2=0135
+
+level='100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000'
+
+
+# merge BOT and ATM daily files
+cdo -O mergetime BOT_3hr_${expin}_013[345] BOT_3hr_${expin}_${year1}_${year2}
+cdo -O mergetime ATM_3hr_${expin}_013[345] ATM_3hr_${expin}_${year1}_${year2}
+
+############## 2d data #####################################
+
+# tas
+cdo -r -f nc -t echam6 -setname,tas -selvar,temp2 BOT_3hr_${expin}_${year1}_${year2} \
+ tas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tas,o,c,air_temperature tas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ts
+cdo -r -f nc -t echam6 -setname,ts -selvar,tsurf BOT_3hr_${expin}_${year1}_${year2} \
+ ts_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ts,o,c,surface_temperature ts_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmin
+cdo -r -f nc -t echam6 -setname,tasmin -selvar,t2min BOT_3hr_${expin}_${year1}_${year2} \
+ tasmin_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmin,o,c,air_temperature tasmin_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmax
+cdo -r -f nc -t echam6 -setname,tasmax -selvar,t2max BOT_3hr_${expin}_${year1}_${year2} \
+ tasmax_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmax,o,c,air_temperature tasmax_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# psl
+cdo -r -f nc -t echam6 -setname,psl -selvar,slp BOT_3hr_${expin}_${year1}_${year2} \
+ psl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,psl,o,c,air_pressure_at_sea_level psl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ps
+cdo -r -f nc -t echam6 -setname,ps -selvar,aps BOT_3hr_${expin}_${year1}_${year2} \
+ ps_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ps,o,c,surface_air_pressure ps_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# uas
+cdo -r -f nc -t echam6 -setname,uas -selvar,u10 BOT_3hr_${expin}_${year1}_${year2} \
+ uas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,uas,o,c,eastward_wind uas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# vas
+cdo -r -f nc -t echam6 -setname,vas -selvar,v10 BOT_3hr_${expin}_${year1}_${year2} \
+ vas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,vas,o,c,northward_wind vas_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# sfcWind
+cdo -r -f nc -t echam6 -setname,sfcWind -selvar,wind10 BOT_3hr_${expin}_${year1}_${year2} \
+ sfcWind_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,sfcWind,o,c,wind_speed sfcWind_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# pr
+cdo -r -f nc -t echam6 -setname,pr -selvar,precip BOT_3hr_${expin}_${year1}_${year2} \
+ pr_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,pr,o,c,precipitation_flux pr_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prsn
+cdo -r -f nc -t echam6 -setname,prsn -selvar,aprs BOT_3hr_${expin}_${year1}_${year2} \
+ prsn_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prsn,o,c,snowfall_flux prsn_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prc
+cdo -r -f nc -t echam6 -setname,prc -selvar,aprc BOT_3hr_${expin}_${year1}_${year2} \
+ prc_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prc,o,c,convective_precipitation_flux prc_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# evspsbl
+cdo -r -f nc -t echam6 -mulc,-1 -setname,evspsbl -selvar,evap BOT_3hr_${expin}_${year1}_${year2} \
+ evspsbl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,evspsbl,o,c,water_evaporation_flux evspsbl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauu
+cdo -r -f nc -t echam6 -setname,tauu -selvar,ustr BOT_3hr_${expin}_${year1}_${year2} \
+ tauu_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauu,o,c,surface_downward_eastward_stress tauu_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauv
+cdo -r -f nc -t echam6 -setname,tauv -selvar,vstr BOT_3hr_${expin}_${year1}_${year2} \
+ tauv_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauv,o,c,surface_downward_northward_stress tauv_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfls
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfls -selvar,ahfl BOT_3hr_${expin}_${year1}_${year2} \
+ hfls_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfls,o,c,surface_upward_latent_heat_flux hfls_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfss
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfss -selvar,ahfs BOT_3hr_${expin}_${year1}_${year2} \
+ hfss_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfss,o,c,surface_upward_sensible_heat_flux hfss_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlds
+cdo -r -f nc -t echam6 -setname,rlds -sub -selvar,trads BOT_3hr_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_3hr_${expin}_${year1}_${year2} rlds_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlds,o,c,surface_downwelling_longwave_flux_in_air rlds_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlus -selvar,tradsu BOT_3hr_${expin}_${year1}_${year2} \
+ rlus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlus,o,c,surface_upwelling_longwave_flux_in_air rlus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsds
+cdo -r -f nc -t echam6 -setname,rsds -sub -selvar,srads BOT_3hr_${expin}_${year1}_${year2} \
+ -selvar,sradsu BOT_3hr_${expin}_${year1}_${year2} rsds_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsds,o,c,surface_downwelling_shortwave_flux_in_air rsds_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsus -selvar,sradsu BOT_3hr_${expin}_${year1}_${year2} \
+ rsus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsus,o,c,surface_upwelling_shortwave_flux_in_air rsus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+########### clear-sky sw surface fluxes (start)
+#need to calcule effective sfc albedo first
+rm -f sfcalbedo
+cdo div rsus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsds_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ sfcalbedo
+#rsdscs
+cdo -r -f nc -t echam6 -setmisstoc,0 -setname,rsdscs -div -selvar,srafs BOT_3hr_${expin}_${year1}_${year2} \
+ -addc,1 -mulc,-1 sfcalbedo rsdscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdscs,o,c,surface_downwelling_shortwave_flux_in_air_assuming_clear_sky rsdscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsuscs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsuscs -sub -selvar,srafs BOT_3hr_${expin}_${year1}_${year2} \
+ rsdscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsuscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsuscs,o,c,surface_upwelling_shortwave_flux_in_air_assuming_clear_sky rsuscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+rm -f sfcalbedo
+########### clear-sky sw surface fluxes (end)
+
+#rldscs
+cdo -r -f nc -t echam6 -setname,rldscs -sub -selvar,trafs BOT_3hr_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_3hr_${expin}_${year1}_${year2} rldscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rldscs,o,c,surface_downwelling_longwave_flux_in_air_assuming_clear_sky rldscs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsdt
+cdo -r -f nc -t echam6 -setname,rsdt -selvar,srad0d BOT_3hr_${expin}_${year1}_${year2} \
+ rsdt_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdt,o,c,toa_incoming_shortwave_flux rsdt_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsut -selvar,srad0u BOT_3hr_${expin}_${year1}_${year2} \
+ rsut_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsut,o,c,toa_outgoing_shortwave_flux rsut_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlut -selvar,trad0 BOT_3hr_${expin}_${year1}_${year2} \
+ rlut_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlut,o,c,toa_outgoing_longwave_flux rlut_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlutcs -selvar,traf0 BOT_3hr_${expin}_${year1}_${year2} \
+ rlutcs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlutcs,o,c,toa_outgoing_longwave_flux_assuming_clear_sky rlutcs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsutcs -sub -selvar,sraf0 BOT_3hr_${expin}_${year1}_${year2} \
+ -selvar,srad0d BOT_3hr_${expin}_${year1}_${year2} rsutcs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsutcs,o,c,toa_outgoing_shortwave_flux_assuming_clear_sky rsutcs_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prw
+cdo -r -f nc -t echam6 -setname,prw -selvar,qvi BOT_3hr_${expin}_${year1}_${year2} \
+ prw_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prw,o,c,atmosphere_water_vapor_content prw_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clt
+cdo -r -f nc -t echam6 -mulc,100 -setname,clt -selvar,aclcov BOT_3hr_${expin}_${year1}_${year2} \
+ clt_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clt,o,c,cloud_area_fraction clt_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clwvi
+cdo -r -f nc -t echam6 -setname,clwvi -selvar,xlvi BOT_3hr_${expin}_${year1}_${year2} \
+ clwvi_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clwvi,o,c,atmosphere_cloud_condensed_water_content clwvi_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clivi
+cdo -r -f nc -t echam6 -setname,clivi -selvar,xivi BOT_3hr_${expin}_${year1}_${year2} \
+ clivi_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clivi,o,c,atmosphere_cloud_ice_content clivi_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+############## 3d data #####################################
+
+# cl
+cdo -r -f nc -t echam6 -mulc,100 -setname,cl -selvar,aclcac -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ cl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cl,o,c,cloud_area_fraction_in_atmosphere_layer cl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cl_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clw
+cdo -r -f nc -t echam6 -mulc,100 -setname,clw -selvar,xl -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ clw_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clw,o,c,mass_fraction_of_cloud_liquid_water_in_air clw_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev clw_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# cli
+cdo -r -f nc -t echam6 -mulc,100 -setname,cli -selvar,xi -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ cli_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cli,o,c,mass_fraction_of_cloud_ice_in_air cli_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cli_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ta
+cdo -r -f nc -t echam6 -setname,ta -selvar,t -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ ta_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ta,o,c,air_temperature ta_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ta_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ua
+cdo -r -f nc -t echam6 -setname,ua -selvar,u -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ ua_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ua,o,c,eastward_wind ua_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ua_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# va
+cdo -r -f nc -t echam6 -setname,va -selvar,v -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ va_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,va,o,c,northward_wind va_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev va_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hus
+cdo -r -f nc -t echam6 -setname,hus -selvar,q -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ hus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hus,o,c,specific_humidity hus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hus_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hur
+cdo -r -f nc -t echam6 -mulc,100 -setname,hur -selvar,rhumidity -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ hur_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hur,o,c,relative_humidity hur_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hur_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# wap
+cdo -r -f nc -t echam6 -setname,wap -selvar,omega -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ wap_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,wap,o,c,lagrangian_tendency_or_air_pressure wap_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev wap_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# zg
+cdo -r -f nc -t echam6 -setname,zg -selvar,geopoth -sellevel,${level} ATM_3hr_${expin}_${year1}_${year2} \
+ zg_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,zg,o,c,geopotential_height zg_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev zg_A3hr_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+
diff --git a/cmorizing/ECHAM6.1/make_cmorizing_dailydata_itczmip008.sh b/cmorizing/ECHAM6.1/make_cmorizing_dailydata_itczmip008.sh
new file mode 100644
index 0000000000000000000000000000000000000000..7eebbcada6c6b25ee6821d23eced66961db6e219
--- /dev/null
+++ b/cmorizing/ECHAM6.1/make_cmorizing_dailydata_itczmip008.sh
@@ -0,0 +1,259 @@
+#!/bin/bash
+
+# set variables
+
+expin=itczmip008
+expout=Land4xCO2
+
+model=echam6-1
+
+year1=0126
+year2=0135
+
+level='100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000'
+
+
+# merge BOT and ATM daily files
+cdo -O mergetime BOT_dm_${expin}_012[6789] BOT_dm_${expin}_013[012345] BOT_dm_${expin}_${year1}_${year2}
+cdo -O mergetime ATM_dm_${expin}_012[6789] ATM_dm_${expin}_013[012345] ATM_dm_${expin}_${year1}_${year2}
+
+############## 2d data #####################################
+
+# tas
+cdo -r -f nc -t echam6 -setname,tas -selvar,temp2 BOT_dm_${expin}_${year1}_${year2} \
+ tas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tas,o,c,air_temperature tas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ts
+cdo -r -f nc -t echam6 -setname,ts -selvar,tsurf BOT_dm_${expin}_${year1}_${year2} \
+ ts_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ts,o,c,surface_temperature ts_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmin
+cdo -r -f nc -t echam6 -setname,tasmin -selvar,t2min BOT_dm_${expin}_${year1}_${year2} \
+ tasmin_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmin,o,c,air_temperature tasmin_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmax
+cdo -r -f nc -t echam6 -setname,tasmax -selvar,t2max BOT_dm_${expin}_${year1}_${year2} \
+ tasmax_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmax,o,c,air_temperature tasmax_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# psl
+cdo -r -f nc -t echam6 -setname,psl -selvar,slp BOT_dm_${expin}_${year1}_${year2} \
+ psl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,psl,o,c,air_pressure_at_sea_level psl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ps
+cdo -r -f nc -t echam6 -setname,ps -selvar,aps BOT_dm_${expin}_${year1}_${year2} \
+ ps_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ps,o,c,surface_air_pressure ps_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# uas
+cdo -r -f nc -t echam6 -setname,uas -selvar,u10 BOT_dm_${expin}_${year1}_${year2} \
+ uas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,uas,o,c,eastward_wind uas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# vas
+cdo -r -f nc -t echam6 -setname,vas -selvar,v10 BOT_dm_${expin}_${year1}_${year2} \
+ vas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,vas,o,c,northward_wind vas_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# sfcWind
+cdo -r -f nc -t echam6 -setname,sfcWind -selvar,wind10 BOT_dm_${expin}_${year1}_${year2} \
+ sfcWind_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,sfcWind,o,c,wind_speed sfcWind_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# pr
+cdo -r -f nc -t echam6 -setname,pr -selvar,precip BOT_dm_${expin}_${year1}_${year2} \
+ pr_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,pr,o,c,precipitation_flux pr_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prsn
+cdo -r -f nc -t echam6 -setname,prsn -selvar,aprs BOT_dm_${expin}_${year1}_${year2} \
+ prsn_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prsn,o,c,snowfall_flux prsn_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prc
+cdo -r -f nc -t echam6 -setname,prc -selvar,aprc BOT_dm_${expin}_${year1}_${year2} \
+ prc_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prc,o,c,convective_precipitation_flux prc_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# evspsbl
+cdo -r -f nc -t echam6 -mulc,-1 -setname,evspsbl -selvar,evap BOT_dm_${expin}_${year1}_${year2} \
+ evspsbl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,evspsbl,o,c,water_evaporation_flux evspsbl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauu
+cdo -r -f nc -t echam6 -setname,tauu -selvar,ustr BOT_dm_${expin}_${year1}_${year2} \
+ tauu_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauu,o,c,surface_downward_eastward_stress tauu_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauv
+cdo -r -f nc -t echam6 -setname,tauv -selvar,vstr BOT_dm_${expin}_${year1}_${year2} \
+ tauv_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauv,o,c,surface_downward_northward_stress tauv_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfls
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfls -selvar,ahfl BOT_dm_${expin}_${year1}_${year2} \
+ hfls_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfls,o,c,surface_upward_latent_heat_flux hfls_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfss
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfss -selvar,ahfs BOT_dm_${expin}_${year1}_${year2} \
+ hfss_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfss,o,c,surface_upward_sensible_heat_flux hfss_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlds
+cdo -r -f nc -t echam6 -setname,rlds -sub -selvar,trads BOT_dm_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_dm_${expin}_${year1}_${year2} rlds_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlds,o,c,surface_downwelling_longwave_flux_in_air rlds_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlus -selvar,tradsu BOT_dm_${expin}_${year1}_${year2} \
+ rlus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlus,o,c,surface_upwelling_longwave_flux_in_air rlus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsds
+cdo -r -f nc -t echam6 -setname,rsds -sub -selvar,srads BOT_dm_${expin}_${year1}_${year2} \
+ -selvar,sradsu BOT_dm_${expin}_${year1}_${year2} rsds_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsds,o,c,surface_downwelling_shortwave_flux_in_air rsds_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsus -selvar,sradsu BOT_dm_${expin}_${year1}_${year2} \
+ rsus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsus,o,c,surface_upwelling_shortwave_flux_in_air rsus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+########### clear-sky sw surface fluxes (start)
+#need to calcule effective sfc albedo first
+rm -f sfcalbedo
+cdo div rsus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsds_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ sfcalbedo
+#rsdscs
+cdo -r -f nc -t echam6 -setmisstoc,0 -setname,rsdscs -div -selvar,srafs BOT_dm_${expin}_${year1}_${year2} \
+ -addc,1 -mulc,-1 sfcalbedo rsdscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdscs,o,c,surface_downwelling_shortwave_flux_in_air_assuming_clear_sky rsdscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsuscs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsuscs -sub -selvar,srafs BOT_dm_${expin}_${year1}_${year2} \
+ rsdscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsuscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsuscs,o,c,surface_upwelling_shortwave_flux_in_air_assuming_clear_sky rsuscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+rm -f sfcalbedo
+########### clear-sky sw surface fluxes (end)
+
+#rldscs
+cdo -r -f nc -t echam6 -setname,rldscs -sub -selvar,trafs BOT_dm_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_dm_${expin}_${year1}_${year2} rldscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rldscs,o,c,surface_downwelling_longwave_flux_in_air_assuming_clear_sky rldscs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsdt
+cdo -r -f nc -t echam6 -setname,rsdt -selvar,srad0d BOT_dm_${expin}_${year1}_${year2} \
+ rsdt_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdt,o,c,toa_incoming_shortwave_flux rsdt_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsut -selvar,srad0u BOT_dm_${expin}_${year1}_${year2} \
+ rsut_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsut,o,c,toa_outgoing_shortwave_flux rsut_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlut -selvar,trad0 BOT_dm_${expin}_${year1}_${year2} \
+ rlut_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlut,o,c,toa_outgoing_longwave_flux rlut_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlutcs -selvar,traf0 BOT_dm_${expin}_${year1}_${year2} \
+ rlutcs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlutcs,o,c,toa_outgoing_longwave_flux_assuming_clear_sky rlutcs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsutcs -sub -selvar,sraf0 BOT_dm_${expin}_${year1}_${year2} \
+ -selvar,srad0d BOT_dm_${expin}_${year1}_${year2} rsutcs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsutcs,o,c,toa_outgoing_shortwave_flux_assuming_clear_sky rsutcs_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prw
+cdo -r -f nc -t echam6 -setname,prw -selvar,qvi BOT_dm_${expin}_${year1}_${year2} \
+ prw_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prw,o,c,atmosphere_water_vapor_content prw_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clt
+cdo -r -f nc -t echam6 -mulc,100 -setname,clt -selvar,aclcov BOT_dm_${expin}_${year1}_${year2} \
+ clt_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clt,o,c,cloud_area_fraction clt_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clwvi
+cdo -r -f nc -t echam6 -setname,clwvi -selvar,xlvi BOT_dm_${expin}_${year1}_${year2} \
+ clwvi_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clwvi,o,c,atmosphere_cloud_condensed_water_content clwvi_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clivi
+cdo -r -f nc -t echam6 -setname,clivi -selvar,xivi BOT_dm_${expin}_${year1}_${year2} \
+ clivi_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clivi,o,c,atmosphere_cloud_ice_content clivi_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+############## 3d data #####################################
+
+# cl
+cdo -r -f nc -t echam6 -mulc,100 -setname,cl -selvar,aclcac -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ cl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cl,o,c,cloud_area_fraction_in_atmosphere_layer cl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cl_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clw
+cdo -r -f nc -t echam6 -mulc,100 -setname,clw -selvar,xl -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ clw_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clw,o,c,mass_fraction_of_cloud_liquid_water_in_air clw_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev clw_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# cli
+cdo -r -f nc -t echam6 -mulc,100 -setname,cli -selvar,xi -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ cli_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cli,o,c,mass_fraction_of_cloud_ice_in_air cli_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cli_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ta
+cdo -r -f nc -t echam6 -setname,ta -selvar,t -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ ta_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ta,o,c,air_temperature ta_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ta_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ua
+cdo -r -f nc -t echam6 -setname,ua -selvar,u -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ ua_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ua,o,c,eastward_wind ua_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ua_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# va
+cdo -r -f nc -t echam6 -setname,va -selvar,v -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ va_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,va,o,c,northward_wind va_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev va_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hus
+cdo -r -f nc -t echam6 -setname,hus -selvar,q -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ hus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hus,o,c,specific_humidity hus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hus_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hur
+cdo -r -f nc -t echam6 -mulc,100 -setname,hur -selvar,rhumidity -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ hur_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hur,o,c,relative_humidity hur_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hur_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# wap
+cdo -r -f nc -t echam6 -setname,wap -selvar,omega -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ wap_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,wap,o,c,lagrangian_tendency_or_air_pressure wap_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev wap_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# zg
+cdo -r -f nc -t echam6 -setname,zg -selvar,geopoth -sellevel,${level} ATM_dm_${expin}_${year1}_${year2} \
+ zg_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,zg,o,c,geopotential_height zg_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev zg_Aday_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+
diff --git a/cmorizing/ECHAM6.1/make_cmorizing_montlydata_itczmip008.sh b/cmorizing/ECHAM6.1/make_cmorizing_montlydata_itczmip008.sh
new file mode 100644
index 0000000000000000000000000000000000000000..0f74ffcb306f7ecff348eace45d4f2332c32a132
--- /dev/null
+++ b/cmorizing/ECHAM6.1/make_cmorizing_montlydata_itczmip008.sh
@@ -0,0 +1,259 @@
+#!/bin/bash
+
+# set variables
+
+expin=itczmip008
+expout=Land4xCO2
+
+model=echam6-1
+
+year1=0091
+year2=0135
+
+level='100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000'
+
+
+# merge BOT and ATM montly files
+cdo -O mergetime BOT_${expin}_009? BOT_${expin}_01?? BOT_${expin}_${year1}_${year2}
+cdo -O mergetime ATM_${expin}_009? ATM_${expin}_01?? ATM_${expin}_${year1}_${year2}
+
+############## 2d data #####################################
+
+# tas
+cdo -r -f nc -t echam6 -setname,tas -selvar,temp2 BOT_${expin}_${year1}_${year2} \
+ tas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tas,o,c,air_temperature tas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ts
+cdo -r -f nc -t echam6 -setname,ts -selvar,tsurf BOT_${expin}_${year1}_${year2} \
+ ts_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ts,o,c,surface_temperature ts_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmin
+cdo -r -f nc -t echam6 -setname,tasmin -selvar,t2min BOT_${expin}_${year1}_${year2} \
+ tasmin_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmin,o,c,air_temperature tasmin_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tasmax
+cdo -r -f nc -t echam6 -setname,tasmax -selvar,t2max BOT_${expin}_${year1}_${year2} \
+ tasmax_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tasmax,o,c,air_temperature tasmax_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# psl
+cdo -r -f nc -t echam6 -setname,psl -selvar,slp BOT_${expin}_${year1}_${year2} \
+ psl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,psl,o,c,air_pressure_at_sea_level psl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ps
+cdo -r -f nc -t echam6 -setname,ps -selvar,aps BOT_${expin}_${year1}_${year2} \
+ ps_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ps,o,c,surface_air_pressure ps_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# uas
+cdo -r -f nc -t echam6 -setname,uas -selvar,u10 BOT_${expin}_${year1}_${year2} \
+ uas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,uas,o,c,eastward_wind uas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# vas
+cdo -r -f nc -t echam6 -setname,vas -selvar,v10 BOT_${expin}_${year1}_${year2} \
+ vas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,vas,o,c,northward_wind vas_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# sfcWind
+cdo -r -f nc -t echam6 -setname,sfcWind -selvar,wind10 BOT_${expin}_${year1}_${year2} \
+ sfcWind_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,sfcWind,o,c,wind_speed sfcWind_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# pr
+cdo -r -f nc -t echam6 -setname,pr -selvar,precip BOT_${expin}_${year1}_${year2} \
+ pr_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,pr,o,c,precipitation_flux pr_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prsn
+cdo -r -f nc -t echam6 -setname,prsn -selvar,aprs BOT_${expin}_${year1}_${year2} \
+ prsn_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prsn,o,c,snowfall_flux prsn_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prc
+cdo -r -f nc -t echam6 -setname,prc -selvar,aprc BOT_${expin}_${year1}_${year2} \
+ prc_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prc,o,c,convective_precipitation_flux prc_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# evspsbl
+cdo -r -f nc -t echam6 -mulc,-1 -setname,evspsbl -selvar,evap BOT_${expin}_${year1}_${year2} \
+ evspsbl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,evspsbl,o,c,water_evaporation_flux evspsbl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauu
+cdo -r -f nc -t echam6 -setname,tauu -selvar,ustr BOT_${expin}_${year1}_${year2} \
+ tauu_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauu,o,c,surface_downward_eastward_stress tauu_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauv
+cdo -r -f nc -t echam6 -setname,tauv -selvar,vstr BOT_${expin}_${year1}_${year2} \
+ tauv_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauv,o,c,surface_downward_northward_stress tauv_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfls
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfls -selvar,ahfl BOT_${expin}_${year1}_${year2} \
+ hfls_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfls,o,c,surface_upward_latent_heat_flux hfls_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfss
+cdo -r -f nc -t echam6 -mulc,-1 -setname,hfss -selvar,ahfs BOT_${expin}_${year1}_${year2} \
+ hfss_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfss,o,c,surface_upward_sensible_heat_flux hfss_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlds
+cdo -r -f nc -t echam6 -setname,rlds -sub -selvar,trads BOT_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_${expin}_${year1}_${year2} rlds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlds,o,c,surface_downwelling_longwave_flux_in_air rlds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlus -selvar,tradsu BOT_${expin}_${year1}_${year2} \
+ rlus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlus,o,c,surface_upwelling_longwave_flux_in_air rlus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsds
+cdo -r -f nc -t echam6 -setname,rsds -sub -selvar,srads BOT_${expin}_${year1}_${year2} \
+ -selvar,sradsu BOT_${expin}_${year1}_${year2} rsds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsds,o,c,surface_downwelling_shortwave_flux_in_air rsds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsus
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsus -selvar,sradsu BOT_${expin}_${year1}_${year2} \
+ rsus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsus,o,c,surface_upwelling_shortwave_flux_in_air rsus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+########### clear-sky sw surface fluxes (start)
+#need to calcule effective sfc albedo first
+rm -f sfcalbedo
+cdo div rsus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ sfcalbedo
+#rsdscs
+cdo -r -f nc -t echam6 -setmisstoc,0 -setname,rsdscs -div -selvar,srafs BOT_${expin}_${year1}_${year2} \
+ -addc,1 -mulc,-1 sfcalbedo rsdscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdscs,o,c,surface_downwelling_shortwave_flux_in_air_assuming_clear_sky rsdscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsuscs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsuscs -sub -selvar,srafs BOT_${expin}_${year1}_${year2} \
+ rsdscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc \
+ rsuscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsuscs,o,c,surface_upwelling_shortwave_flux_in_air_assuming_clear_sky rsuscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+rm -f sfcalbedo
+########### clear-sky sw surface fluxes (end)
+
+#rldscs
+cdo -r -f nc -t echam6 -setname,rldscs -sub -selvar,trafs BOT_${expin}_${year1}_${year2} \
+ -selvar,tradsu BOT_${expin}_${year1}_${year2} rldscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rldscs,o,c,surface_downwelling_longwave_flux_in_air_assuming_clear_sky rldscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsdt
+cdo -r -f nc -t echam6 -setname,rsdt -selvar,srad0d BOT_${expin}_${year1}_${year2} \
+ rsdt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdt,o,c,toa_incoming_shortwave_flux rsdt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsut -selvar,srad0u BOT_${expin}_${year1}_${year2} \
+ rsut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsut,o,c,toa_outgoing_shortwave_flux rsut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlut
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlut -selvar,trad0 BOT_${expin}_${year1}_${year2} \
+ rlut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlut,o,c,toa_outgoing_longwave_flux rlut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rlutcs -selvar,traf0 BOT_${expin}_${year1}_${year2} \
+ rlutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlutcs,o,c,toa_outgoing_longwave_flux_assuming_clear_sky rlutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsutcs
+cdo -r -f nc -t echam6 -mulc,-1 -setname,rsutcs -sub -selvar,sraf0 BOT_${expin}_${year1}_${year2} \
+ -selvar,srad0d BOT_${expin}_${year1}_${year2} rsutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsutcs,o,c,toa_outgoing_shortwave_flux_assuming_clear_sky rsutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prw
+cdo -r -f nc -t echam6 -setname,prw -selvar,qvi BOT_${expin}_${year1}_${year2} \
+ prw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prw,o,c,atmosphere_water_vapor_content prw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clt
+cdo -r -f nc -t echam6 -mulc,100 -setname,clt -selvar,aclcov BOT_${expin}_${year1}_${year2} \
+ clt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clt,o,c,cloud_area_fraction clt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clwvi
+cdo -r -f nc -t echam6 -setname,clwvi -selvar,xlvi BOT_${expin}_${year1}_${year2} \
+ clwvi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clwvi,o,c,atmosphere_cloud_condensed_water_content clwvi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clivi
+cdo -r -f nc -t echam6 -setname,clivi -selvar,xivi BOT_${expin}_${year1}_${year2} \
+ clivi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clivi,o,c,atmosphere_cloud_ice_content clivi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+############## 3d data #####################################
+
+# cl
+cdo -r -f nc -t echam6 -mulc,100 -setname,cl -selvar,aclcac -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cl,o,c,cloud_area_fraction_in_atmosphere_layer cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clw
+cdo -r -f nc -t echam6 -mulc,100 -setname,clw -selvar,xl -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clw,o,c,mass_fraction_of_cloud_liquid_water_in_air clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# cli
+cdo -r -f nc -t echam6 -mulc,100 -setname,cli -selvar,xi -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cli,o,c,mass_fraction_of_cloud_ice_in_air cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ta
+cdo -r -f nc -t echam6 -setname,ta -selvar,t -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ta,o,c,air_temperature ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ua
+cdo -r -f nc -t echam6 -setname,ua -selvar,u -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ua,o,c,eastward_wind ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# va
+cdo -r -f nc -t echam6 -setname,va -selvar,v -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,va,o,c,northward_wind va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hus
+cdo -r -f nc -t echam6 -setname,hus -selvar,q -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hus,o,c,specific_humidity hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hur
+cdo -r -f nc -t echam6 -mulc,100 -setname,hur -selvar,rhumidity -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hur,o,c,relative_humidity hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# wap
+cdo -r -f nc -t echam6 -setname,wap -selvar,omega -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,wap,o,c,lagrangian_tendency_or_air_pressure wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# zg
+cdo -r -f nc -t echam6 -setname,zg -selvar,geopoth -sellevel,${level} ATM_${expin}_${year1}_${year2} \
+ zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,zg,o,c,geopotential_height zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncrename -d lev,plev -v lev,plev zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/README b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/README
new file mode 100644
index 0000000000000000000000000000000000000000..22182c21d0757ed110b8ddacefe483f25b779ca0
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/README
@@ -0,0 +1,29 @@
+README for TRACMIP dataset hosted on the University of Miami OpenDap server
+
+Written by Aiko Voigt, aiko.voigt@kit.edu
+
+Tracmip reference:
+A. Voigt, M. Biasutti et al., The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, revised for JAMES.
+
+Model names in the Tracmip reference paper are different from those used on the server. The following table allows to translate the two.
+
+Model name in Tracmip paper Model name on server
+
+AM2.1 AM2
+CAM3 CAM3
+CAM4 CAM4
+CAM5Nor NorESM2
+CNRM-AM5 CNRM-AM6-DIA-v2
+ECHAM6.1 ECHAM61
+ECHAM6.3 ECHAM63
+LMDZ5A IPSL-CM5A
+MetUM-CTL MetUM-GA6-CTL
+MetUM-ENT MetUM-GA6-ENT
+MIROC5 MIROC5
+MPAS MPAS
+GISS ModelE2 GISS_ModelE
+CALTECH CaltechGrayi
+
+There is also data from the CNRM-AM6-DIA model; these are not used in the paper.
+
+For the CALTECH model, the Abs1.5 simulations are taken as the analogue for the 4xCO2 simulations with the comprehensive models (remember that CALTECH has a gray atmosphere for which absorptivity is prescribed).
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_griddes.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_griddes.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1e08211916b02179b1ae253d46a9a49ab1ebb8ed
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_griddes.txt
@@ -0,0 +1,30 @@
+#
+# gridID 1
+#
+gridtype = lonlat
+gridsize = 12960
+xname = lon
+xlongname = longitude
+xunits = degrees_east
+yname = lat
+ylongname = latitude
+yunits = degrees_north
+xsize = 144
+ysize = 90
+xfirst = 1.25
+xinc = 2.5
+yvals = -89.49438 -87.97753 -85.95506 -83.93259 -81.91011 -79.88764
+ -77.86517 -75.8427 -73.82022 -71.79775 -69.77528 -67.75281
+ -65.73034 -63.70787 -61.68539 -59.66292 -57.64045 -55.61798
+ -53.5955 -51.57303 -49.55056 -47.52809 -45.50562 -43.48315
+ -41.46067 -39.4382 -37.41573 -35.39326 -33.37078 -31.34831
+ -29.32584 -27.30337 -25.2809 -23.25843 -21.23595 -19.21348
+ -17.19101 -15.16854 -13.14607 -11.1236 -9.101124 -7.078652
+ -5.05618 -3.033708 -1.011236 1.011236 3.033708 5.05618 7.078652
+ 9.101124 11.1236 13.14607 15.16854 17.19101 19.21348 21.23595
+ 23.25843 25.2809 27.30337 29.32584 31.34831 33.37078 35.39326
+ 37.41573 39.4382 41.46067 43.48315 45.50562 47.52809 49.55056
+ 51.57303 53.5955 55.61798 57.64045 59.66292 61.68539 63.70787
+ 65.73034 67.75281 69.77528 71.79775 73.82022 75.8427 77.86517
+ 79.88764 81.91011 83.93259 85.95506 87.97753 89.49438
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_zaxisdes.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_zaxisdes.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d0cb6506a479f5c39ff9e119da0f3d682a7da09
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/AM21_zaxisdes.txt
@@ -0,0 +1,9 @@
+#
+# zaxisID 1
+#
+zaxistype = pressure
+size = 17
+name = plev
+longname = "pressure"
+units = "Pa"
+levels = 1000 2000 3000 5000 7000 10000 15000 20000 25000 30000 40000 50000 60000 70000 85000 92500 100000
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..acdad8c764bdab9143c7abea92f574b253011e82
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=AM21
+REFERENCES="AM21: Atmosphere component of GFDL-CM2.1;Anderson, J., et al. (2004), The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations, J. Clim., 17(24), 4641–4673; Delworth, T. L., et al. (2006), GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics, J. Clim., 19(5), 643–674, doi:10.1175/JCLI3629.1; Lin, S.-J. (2004), A vertically Lagrangian finite-volume dynamical core for global models, Mon. Weather Rev., 132(10), 2293–2307, doi:10.1175/1520-0493(2004)132h2293:AVLFDCi2.0.CO;2;"
+SOURCE="AM21, 2.0 deg lat x 2.5 deg lon, 24 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="ULSAN"
+INSTITUTION="School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"
+CONTACT="Sarah Kang, skang.unist.ac.kr; Elizabeth Maroon, elizabeth.maroon@colorado.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..abc77b7960bd60788289c03f81e107beb5d64896
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=AM21
+REFERENCES="AM21: Atmosphere component of GFDL-CM2.1;Anderson, J., et al. (2004), The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations, J. Clim., 17(24), 4641–4673; Delworth, T. L., et al. (2006), GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics, J. Clim., 19(5), 643–674, doi:10.1175/JCLI3629.1; Lin, S.-J. (2004), A vertically Lagrangian finite-volume dynamical core for global models, Mon. Weather Rev., 132(10), 2293–2307, doi:10.1175/1520-0493(2004)132h2293:AVLFDCi2.0.CO;2;"
+SOURCE="AM21, 2.0 deg lat x 2.5 deg lon, 24 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="ULSAN"
+INSTITUTION="School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"
+CONTACT="Sarah Kang, skang.unist.ac.kr; Elizabeth Maroon, elizabeth.maroon@colorado.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..9c97f357420043e88ac9869d2222e483abe021e8
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; note: it appears that evaporation was not reduced over land, different from what was demanded in the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=AM21
+REFERENCES="AM21: Atmosphere component of GFDL-CM2.1;Anderson, J., et al. (2004), The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations, J. Clim., 17(24), 4641–4673; Delworth, T. L., et al. (2006), GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics, J. Clim., 19(5), 643–674, doi:10.1175/JCLI3629.1; Lin, S.-J. (2004), A vertically Lagrangian finite-volume dynamical core for global models, Mon. Weather Rev., 132(10), 2293–2307, doi:10.1175/1520-0493(2004)132h2293:AVLFDCi2.0.CO;2;"
+SOURCE="AM21, 2.0 deg lat x 2.5 deg lon, 24 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="ULSAN"
+INSTITUTION="School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"
+CONTACT="Sarah Kang, skang.unist.ac.kr; Elizabeth Maroon, elizabeth.maroon@colorado.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..607192437b0abf938c58f53c1946f463a89b17b3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/cdocmorinfo_TRACMIP_AM21_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; note: it appears that evaporation was not reduced over land, different from what was demanded in the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=AM21
+REFERENCES="AM21: Atmosphere component of GFDL-CM2.1;Anderson, J., et al. (2004), The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations, J. Clim., 17(24), 4641–4673; Delworth, T. L., et al. (2006), GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics, J. Clim., 19(5), 643–674, doi:10.1175/JCLI3629.1; Lin, S.-J. (2004), A vertically Lagrangian finite-volume dynamical core for global models, Mon. Weather Rev., 132(10), 2293–2307, doi:10.1175/1520-0493(2004)132h2293:AVLFDCi2.0.CO;2;"
+SOURCE="AM21, 2.0 deg lat x 2.5 deg lon, 24 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="ULSAN"
+INSTITUTION="School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"
+CONTACT="Sarah Kang, skang.unist.ac.kr; Elizabeth Maroon, elizabeth.maroon@colorado.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/mt_TRACMIP_AM21.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/mt_TRACMIP_AM21.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cfdefb80ed5f5e3a41b5ae06be2d4b32ad801048
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/AM21/mt_TRACMIP_AM21.txt
@@ -0,0 +1,161 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! AM21 mapping table for TRACMIP, derived from ECHAM61 mapping table
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rtmt cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs0.7TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs0.7TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..b8526df60bb8d3763fb9b9e2ff05e2f23e008336
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs0.7TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs0.7TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs07TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs07TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..73835ab1497e9c034ce56097a16540bcfc669674
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs07TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs07TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet of TRACMIP with longwave optical thickness scaled by 0.7 compared to aquaControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs1.5TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs1.5TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..6172d959c1e3b858e54c91ac796c44d55859dbf3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs1.5TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs1.5TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs15TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs15TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4248758eaace997b00c34772a35132a7787091c7
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs15TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs15TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet of TRACMIP with longwave optical thickness scaled by 1.5 compared to aquaControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs2.0TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs2.0TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..6f5c12c0b31ac9942dbd2c2740213a30e895a137
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs2.0TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs2.0TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs20TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs20TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..218bf33678474c9a9bbf23a2015ca24d10d65371
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaAbs20TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaAbs20TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet of TRACMIP with longwave optical thickness scaled by 2.0 compared to aquaControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaControlTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaControlTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a9bbfc76d0c1ecb70bc5e1d0371d0c499f903c4f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_aquaControlTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs0.7TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs0.7TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..9783d74dbefe987708e92213804d6849c121006a
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs0.7TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs0.7TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP-corrected.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP-corrected.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b4653ac0298afc1b988b446edda9e96ef086c6ed
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP-corrected.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs07TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land of TRACMIP with longwave optical thickness scaled by 0.7 compared to landControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b4653ac0298afc1b988b446edda9e96ef086c6ed
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs07TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs07TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land of TRACMIP with longwave optical thickness scaled by 0.7 compared to landControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs1.5TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs1.5TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..5472b1aa7cc4a9a8e330b62ec00a8466f1f6179d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs1.5TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs1.5TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs15TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs15TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..63c7317121de72b6475c10278e909db8d401a241
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs15TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs15TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land of TRACMIP with longwave optical thickness scaled by 1.5 compared to landControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs2.0TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs2.0TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..4e6717cd329672e769e08e34c39848b7132ea27b
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs2.0TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs2.0TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0000-0-0 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs20TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs20TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6f10f451f493f2869b959acc829ec07d2a85fc0d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landAbs20TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landAbs20TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land of TRACMIP with longwave optical thickness scaled by 2.0 compared to landControlTRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landControlTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landControlTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..74e15cdf0986eb577a2d1c42a122b077773421ee
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landControlTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landOrbitTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landOrbitTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..73bd3dbe024086763fffda4234e4e3b9a4a3cbc6
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/cdocmorinfo_TRACMIP_CALTECH_landOrbitTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since -0001-12-30 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CALTECH
+REFERENCES="CALTECH: O’Gorman and Schneider, 2008, The hydrological cycle over a wide range of climates simulated with an idealized GCM, J. Clim., 21, 3815–3832, doi:10.1175/2007JCLI2065.1; Bordoni and Schneider, 2008, Monsoons as eddy-mediated regime transitions of the tropical overturning circulation, Nat. Geosci., 1, 515–519, doi:10.1038/ngeo248"
+SOURCE="CALTECH, T42, 30 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CALTECH"
+INSTITUTION="California Institute of Technology"
+CONTACT="bordoni@gps.caltech.edu; hwei@caltech.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt
new file mode 100644
index 0000000000000000000000000000000000000000..066f88b03bc1e1efa574abd57a3d2faf437f67e2
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt
@@ -0,0 +1,91 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CaltechGray mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=hfls cmor_name=hfls p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg/m/m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg/m/m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg/m^2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="pascals" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="pascals" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="watts/m2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="deg_k" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/sec" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/sec" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=z_full cmor_name=zg units="meters" cell_methods="m" project_mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=omega cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+
+!! day
+¶meter name=hfls cmor_name=hfls p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg/m/m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg/m/m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg/m^2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="pascals" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="pascals" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="watts/m2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="deg_k" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/sec" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/sec" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=z_full cmor_name=zg units="meters" cell_methods="m" project_mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=omega cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..83923c47771cdb9c2a822196ea24cc9d63a28a36
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/mt_TRACMIP_CALTECH.txt_original
@@ -0,0 +1,89 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CaltechGray mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=hfls cmor_name=hfls p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg/m/m/s" cell_methods="m" mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg/m/m/s" cell_methods="m" mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg/m^2" cell_methods="m" mip_table=Amon /
+¶meter name=ps cmor_name=ps units="pascals" cell_methods="m" mip_table=Amon /
+¶meter name=psl cmor_name=psl units="pascals" cell_methods="m" mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="watts/m2" cell_methods="m" mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=ta cmor_name=ta units="deg_k" cell_methods="m" mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="pa" cell_methods="p" mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="pa" cell_methods="p" mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/sec" cell_methods="m" mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" mip_table=Amon /
+¶meter name=va cmor_name=va units="m/sec" cell_methods="m" mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" mip_table=Amon /
+¶meter name=z_full cmor_name=zg units="meters" cell_methods="m" mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="p" mip_table=Amon /
+
+!! day
+¶meter name=hfls cmor_name=hfls p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg/m/m/s" cell_methods="m" mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg/m/m/s" cell_methods="m" mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg/m^2" cell_methods="m" mip_table=Aday /
+¶meter name=ps cmor_name=ps units="pascals" cell_methods="m" mip_table=Aday /
+¶meter name=psl cmor_name=psl units="pascals" cell_methods="m" mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="watts/m2" cell_methods="m" mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=ta cmor_name=ta units="deg_k" cell_methods="m" mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="pa" cell_methods="p" mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="pa" cell_methods="p" mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/sec" cell_methods="m" mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" mip_table=Aday /
+¶meter name=va cmor_name=va units="m/sec" cell_methods="m" mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" mip_table=Aday /
+¶meter name=z_full cmor_name=zg units="meters" cell_methods="m" mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="p" mip_table=Aday /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/time_information.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/time_information.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5e68e2df61a107773e8b6b67b70b1384528645c2
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CALTECH/time_information.txt
@@ -0,0 +1,44 @@
+The start date and the end date.
+
+AquaControl: 0001-01-01 --- 0045-12-30 (45 years)
+AquaAbs0.7: 0046-01-01 --- 0085-12-30 (40 years)
+AquaAbs1.5: 0046-01-01 --- 0085-12-30 (40 years)
+AquaAbs2.0: 0046-01-01 --- 0085-12-30 (40 years)
+
+LandControl: 0046-01-01 --- 0085-12-30 (40 years)
+LandAbs0.7: 0086-01-01 --- 0125-12-30 (40 years)
+LandAbs1.5: 0086-01-01 --- 0125-12-30 (40 years)
+LandAbs2.0: 0086-01-01 --- 0125-12-30 (40 years)
+
+LandOrbit: 0086-01-01 --- 0125-12-30 (40 years)
+
+
+
+for each simulation, which output stream is available for which time period:
+
+AquaControl Amon 0016-01-01 – 0045-12-30 (30 years)
+AquaControl Aday 0016-01-01 – 0045-12-30 (30 years)
+
+AquaAbs0.7 Amon 0046-01-01 – 0085-12-30 (40 years)
+AquaAbs0.7 Aday 0046-01-01 – 0085-12-30 (40 years)
+
+AquaAbs1.5 Amon 0046-01-01 – 0085-12-30 (40 years)
+AquaAbs1.5 Aday 0046-01-01 – 0085-12-30 (40 years)
+
+AquaAbs2.0 Amon 0046-01-01 – 0085-12-30 (40 years)
+AquaAbs2.0 Aday 0046-01-01 – 0085-12-30 (40 years)
+
+LandControl Amon 0046-01-01 – 0085-12-30 (40 years)
+LandControl Aday 0076-01-01 – 0085-12-30 (10 years)
+
+LandAbs0.7 Amon 0086-01-01 – 0125-12-30 (40 years)
+LandAbs0.7 Aday 0116-01-01 – 0125-12-30 (10 years)
+
+LandAbs1.5 Amon 0086-01-01 – 0125-12-30 (40 years)
+LandAbs1.5 Aday 0116-01-01 – 0125-12-30 (10 years)
+
+LandAbs2.0 Amon 0086-01-01 – 0125-12-30 (40 years)
+LandAbs2.0 Aday 0116-01-01 – 0125-12-30 (10 years)
+
+LandOrbit Amon 0086-01-01 – 0125-12-30 (40 years)
+LandOrbit Aday 0116-01-01 – 0125-12-30 (10 years)
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..c24d42758d2a6a858b417d0c059905e6583656f4
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM3
+REFERENCES="CAM3: Collins et al., 2006, The formulation and atmospheric simulation of the Community Atmosphere Model version 3 (CAM3), J. Clim., 19(11), 2144–2161, doi:10.1175/JCLI3760.1.;"
+SOURCE="CAM3, T42, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UW-MADISON"
+INSTITUTION="University of Wisconsin Madison; Centre National de Recherches Meteorologiques"
+CONTACT="rddixon@wisc.edu; ross.dixon@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..4e108ebc76267eb31b1b52098d06e788d57eeb49
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM3
+REFERENCES="CAM3: Collins et al., 2006, The formulation and atmospheric simulation of the Community Atmosphere Model version 3 (CAM3), J. Clim., 19(11), 2144–2161, doi:10.1175/JCLI3760.1.;"
+SOURCE="CAM3, T42, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UW-MADISON"
+INSTITUTION="University of Wisconsin Madison; Centre National de Recherches Meteorologiques"
+CONTACT="rddixon@wisc.edu; ross.dixon@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..ac83ae3ec0ff2004fb1377475f37b72051b87437
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; note that this run was erroneously started from aquaControl and not from landControl; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM3
+REFERENCES="CAM3: Collins et al., 2006, The formulation and atmospheric simulation of the Community Atmosphere Model version 3 (CAM3), J. Clim., 19(11), 2144–2161, doi:10.1175/JCLI3760.1.;"
+SOURCE="CAM3, T42, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UW-MADISON"
+INSTITUTION="University of Wisconsin Madison; Centre National de Recherches Meteorologiques"
+CONTACT="rddixon@wisc.edu; ross.dixon@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..8de12e44bda727ebf92ea8c74cfc658c4c257e5e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM3
+REFERENCES="CAM3: Collins et al., 2006, The formulation and atmospheric simulation of the Community Atmosphere Model version 3 (CAM3), J. Clim., 19(11), 2144–2161, doi:10.1175/JCLI3760.1.;"
+SOURCE="CAM3, T42, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UW-MADISON"
+INSTITUTION="University of Wisconsin Madison; Centre National de Recherches Meteorologiques"
+CONTACT="rddixon@wisc.edu; ross.dixon@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..6abc7d96ec2ec7a289d8425d08b46a724257ab49
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cdocmorinfo_TRACMIP_CAM3_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM3
+REFERENCES="CAM3: Collins et al., 2006, The formulation and atmospheric simulation of the Community Atmosphere Model version 3 (CAM3), J. Clim., 19(11), 2144–2161, doi:10.1175/JCLI3760.1.;"
+SOURCE="CAM3, T42, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UW-MADISON"
+INSTITUTION="University of Wisconsin Madison; Centre National de Recherches Meteorologiques"
+CONTACT="rddixon@wisc.edu; ross.dixon@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cmorize b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cmorize
new file mode 100644
index 0000000000000000000000000000000000000000..903f94f536e85fc0eac5ba88a214b98cdf1c3198
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/cmorize
@@ -0,0 +1,301 @@
+#!/bin/bash
+
+#set variable
+
+set expout='AquaControl'
+set model='cam3'
+
+set year1='0016'
+set year2='0045'
+
+set model_type='*'
+set freq='h0'
+
+###################################################################
+# 2D Fields
+####################################################################
+
+# ts
+ncrcat -O -v TS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,TS,ts temp.nc \
+ ts_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ts,o,c,surface_temperature ts_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# psl
+ncrcat -O -v PSL ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,PSL,psl temp.nc \
+ psl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,psl,o,c,air_pressure_at_sea_level psl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ps
+ncrcat -O -v PS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,PS,ps temp.nc \
+ ps_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ps,o,c,surface_air_pressure ps_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# pr
+ncrcat -O -v PRECC,PRECL ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "PRECT=PRECC+PRECL" -v temp.nc temp.nc
+cdo -O -chname,PRECT,pr temp.nc \
+ pr_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,pr,o,c,precipitation_flux pr_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prsn
+ncrcat -O -v PRECSC,PRECSL ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "PRECST=PRECSC+PRECSL" -v temp.nc temp.nc
+cdo -O -chname,PRECST,prsn temp.nc \
+ prsn_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prsn,o,c,snowfall_flux prsn_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prc
+ncrcat -O -v PRECC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,PRECC,prc temp.nc \
+ prc_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prc,o,c,convective_precipitation_flux prc_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauu
+ncrcat -O -v TAUX ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,TAUX,tauu temp.nc \
+ tauu_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauu,o,c,surface_downward_eastward_stress tauu_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# tauv
+ncrcat -O -v TAUY ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,TAUY,tauv temp.nc \
+ tauv_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,tauv,o,c,surface_downward_northward_stress tauv_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfls
+ncrcat -O -v LHFLX ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,LHFLX,hfls temp.nc \
+ hfls_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfls,o,c,surface_upward_latent_heat_flux hfls_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hfss
+ncrcat -O -v SHFLX ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,SHFLX,hfss temp.nc \
+ hfss_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hfss,o,c,surface_upward_sensible_heat_flux hfss_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlds
+ncrcat -O -v FLDS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FLDS,rlds temp.nc \
+ rlds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlds,o,c,surface_downwelling_longwave_flux_in_air rlds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rlus
+ncrcat -O -v FLDS,FLNS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "FLUS=FLDS+FLNS" -v temp.nc temp.nc
+cdo -O -chname,FLUS,rlus temp.nc \
+ rlus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlus,o,c,surface_upwelling_longwave_flux_in_air rlus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsds
+ncrcat -O -v FSDS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FSDS,rsds temp.nc \
+ rsds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsds,o,c,surface_downwelling_shortwave_flux_in_air rsds_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsus
+ncrcat -O -v FSDS,FSNS ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "FSUS=FSDS-FSNS" -v temp.nc temp.nc
+cdo -O -chname,FSUS,rsus temp.nc \
+ rsus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsus,o,c,surface_upwelling_shortwave_flux_in_air rsus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsdscs
+ncrcat -O -v FSDSC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FSDSC,rsdscs temp.nc \
+ rsdscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdscs,o,c,surface_downwelling_shortwave_flux_in_air_assuming_clear_sky rsdscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rsuscs
+ncrcat -O -v FSDSC,FSNSC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "FSUSC=FSDSC-FSNSC" -v temp.nc temp.nc
+cdo -O -chname,FSUSC,rsuscs temp.nc \
+ rsuscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsuscs,o,c,surface_upwelling_shortwave_flux_in_air_assuming_clear_sky rsuscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+#rldscs
+ncrcat -O -v FLDSC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FLDSC,rldscs temp.nc \
+ rldscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rldscs,o,c,surface_downwelling_longwave_flux_in_air_assuming_clear_sky rldscs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsdt
+ncrcat -O -v SOLIN ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,SOLIN,rsdt temp.nc \
+ rsdt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsdt,o,c,toa_incoming_shortwave_flux rsdt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsut
+ncrcat -O -v SOLIN,FSNT ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "FSTOA=SOLIN-FSNT" -v temp.nc temp.nc
+cdo -O -chname,FSTOA,rsut temp.nc \
+ rsut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsut,o,c,toa_outgoing_shortwave_flux rsut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rsutcs
+ncrcat -O -v SOLIN,FSNTC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+ncap2 -O -s "FSTOAC=SOLIN-FSNTC" -v temp.nc temp.nc
+cdo -O -chname,FSTOAC,rsutcs temp.nc \
+ rsutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rsutcs,o,c,toa_outgoing_shortwave_flux_assuming_clear_sky rsutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlut
+ncrcat -O -v FLUT ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FLUT,rlut temp.nc \
+ rlut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlut,o,c,toa_outgoing_longwave_flux rlut_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# rlutcs
+ncrcat -O -v FLUTC ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,FLUTC,rlutcs temp.nc \
+ rlutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,rlutcs,o,c,toa_outgoing_longwave_flux_assuming_clear_sky rlutcs_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# prw
+ncrcat -O -v TMQ ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,TMQ,prw temp.nc \
+ prw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,prw,o,c,atmosphere_water_vapor_content prw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clt
+ncrcat -O -v CLDTOT ${model_type}.cam2.${freq}.00* \
+ temp.nc
+cdo -O -chname,CLDTOT,clt temp.nc \
+ clt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clt,o,c,cloud_area_fraction clt_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+## clwvi
+#ncrcat -O -v CLDLIQ ${model_type}.cam2.${freq}.00* \
+# temp.nc
+#cdo -O -chname,CLDLIQ,clwvi temp.nc \
+# clwvi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+#ncatted -O -a long_name,clwvi,o,c,atmosphere_cloud_condensed_water_content clwvi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+## clivi
+#ncrcat -O -v CLDICE ${model_type}.cam2.${freq}.00* \
+# temp.nc
+#cdo -O -chname,CLDICE,clivi temp.nc \
+# clivi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+#ncatted -O -a long_name,clivi,o,c,atmosphere_cloud_ice_content clivi_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+
+###################################################################
+# 3D Fields
+####################################################################
+
+# cl
+ncrcat -O -v CLOUD,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,CLOUD,cl sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cl,o,c,cloud_area_fraction_in_atmosphere_layer cl_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# clw
+ncrcat -O -v CLDLIQ,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,CLDLIQ,clw sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,clw,o,c,mass_fraction_of_cloud_liquid_water_in_air clw_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# cli
+ncrcat -O -v CLDICE,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,CLDICE,cli sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,cli,o,c,mass_fraction_of_cloud_ice_in_air cli_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ta
+ncrcat -O -v T,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,T,ta sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ta,o,c,air_temperature ta_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# ua
+ncrcat -O -v U,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,U,ua sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,ua,o,c,eastward_wind ua_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# va
+ncrcat -O -v V,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,V,va sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,va,o,c,northward_wind va_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hus
+ncrcat -O -v Q,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,Q,hus sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hus,o,c,specific_humidity hus_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# hur
+ncrcat -O -v RELHUM,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,RELHUM,hur sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,hur,o,c,relative_humidity hur_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# wap
+ncrcat -O -v OMEGA,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,OMEGA,wap sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,wap,o,c,lagrangian_tendency_of_air_pressure wap_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
+# zg
+ncrcat -O -v Z3,PS,PHIS,hyai,hybi,hyam,hybm ${model_type}.cam2.${freq}.00* sigma_temp.nc
+ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" sigma_temp.nc sigma_temp.nc
+cdo -O -chname,PS,sp -chname,PHIS,geosp -chname,Z3,zg sigma_temp.nc input.nc
+cdo ml2pl,100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000 input.nc \
+ zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncks -O -x -v geosp,sp zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+ncatted -O -a long_name,zg,o,c,geopotential_height zg_Amon_${model}_${expout}_r1i1p1_${year1}01-${year2}12.nc
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/info_from_ross-dixon.pdf b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/info_from_ross-dixon.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..adbeae5a1b0bed3997d12116b8df2b8b3db05d8f
Binary files /dev/null and b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/info_from_ross-dixon.pdf differ
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f61a7b5fc97183eaf8692de56ef2c973ff059ffd
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt
@@ -0,0 +1,169 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CAM3 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PR cmor_name=pr units="m s-1" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PRSN cmor_name=prsn units="m s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PR cmor_name=pr units="m s-1" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PRSN cmor_name=prsn units="m s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RLSU cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+!!¶meter name=PR cmor_name=pr units="m s-1" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=PRSN cmor_name=prsn units="m s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=T cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TS cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=V cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..f66113fe5fb2310d249aa7c3d91a4ca4d50cd1c1
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/mt_TRACMIP_CAM3.txt_original
@@ -0,0 +1,160 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CAM3 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLICWP cmor_name=clivi units="g m-2" cell_methods="m" mip_table=Amon /
+¶meter name=CLOTOT cmor_name=clt units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDCWP cmor_name=clwvi units="g m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+!! ¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSC cmor_name=prsn units="m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" mip_table=Amon /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" mip_table=Amon /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" mip_table=Amon /
+!! day
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=Aday /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=TGCLICWP cmor_name=clivi units="g m-2" cell_methods="m" mip_table=Aday /
+¶meter name=CLOTOT cmor_name=clt units="%" cell_methods="m" mip_table=Aday /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=TGCLDCWP cmor_name=clwvi units="g m-2" cell_methods="m" mip_table=Aday /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" mip_table=Aday /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Aday /
+!! ¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=Aday /
+¶meter name=PRECSC cmor_name=prsn units="m s-1" cell_methods="m" mip_table=Aday /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Aday /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" mip_table=Aday /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" mip_table=Aday /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=Aday /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=Aday /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" mip_table=Aday /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" mip_table=Aday /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" mip_table=Aday /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" mip_table=Aday /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" mip_table=Aday /
+!! 3hr
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=A3hr /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=A3hr /
+¶meter name=TGCLICWP cmor_name=clivi units="g m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=CLDTOT cmor_name=clt units="%" cell_methods="m" mip_table=A3hr /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=A3hr /
+¶meter name=TGCLDCWP cmor_name=clwvi units="g m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=SFQ cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="p" mip_table=A3hr /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="p" mip_table=A3hr /
+!! ¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=PRECSC cmor_name=prsn units="m s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+!! ¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=A3hr /
+¶meter name=T cmor_name=ta units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=A3hr /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=A3hr /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=TS cmor_name=ts units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="p" mip_table=A3hr /
+!! ¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=V cmor_name=va units="m/s" cell_methods="p" mip_table=A3hr /
+!! ¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="p" mip_table=A3hr /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="p" mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/time_information.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/time_information.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38b00ef983ef19e19b34f7160be3874097457ea3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM3/time_information.txt
@@ -0,0 +1,25 @@
+# taken from email by Ross Dixon
+
+START DATE and END DATE for simulations:
+AquaControl: 0001-01-01 --- 0045-12-31
+Aqua4xCO2: 0046-01-01 --- 0085-12-31
+LandControl: 0046-01-01 --- 0085-12-31
+Land4xCO2: 0046-01-01 --- 0085-12-31
+LandOrbit: 0086-01-01 --- 0125-12-31
+
+Output stream available for each simulation:
+AquaControl Amon 0016-01-01 – 0045-12-31
+AquaControl Aday 0036-01-01 – 0045-12-31
+AquaControl A3hr 0043-01-01 – 0045-12-31
+Aqua4xCO2 Amon 0046-01-01 – 0085-12-31
+Aqua4xCO2 Aday 0076-01-01 – 0085-12-31
+Aqua4xCO2 A3hr missing? I don't know why.
+LandControl Amon 0046-01-01 – 0085-12-31
+LandControl Aday 0076-01-01 – 0085-12-31
+LandControl A3hr 0083-01-01 – 0085-12-31
+Land4xCO2 Amon 0046-01-01 – 0085-12-31
+Land4xCO2 Aday 0076-01-01 – 0085-12-31
+Land4xCO2 A3hr 0083-01-01 – 0085-12-31
+LandOrbit Amon 0086-01-01 – 0125-12-31
+LandOrbit Aday 0116-01-01 – 0125-12-31
+LandOrbit A3hr 0123-01-01 – 0125-12-31
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/README b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/README
new file mode 100644
index 0000000000000000000000000000000000000000..32c4c7585b682fd183304f2c76b564816a4cc8a2
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/README
@@ -0,0 +1,41 @@
+This folder contains the TRACMIP simulations with the NCAR CESM model and CAM4 physics.
+
+The simulations were contributed by Brian Rose, University at Albany
+brose@albany.edu
+
+In addition to the prescribed TRACMIP specifications, these simulations use
+- 2 degree finite volume dynamical core
+- 26 vertical levels
+- 365-day (no-leap-year) calendar
+- sea surface albedo is set to 0.1 everywhere
+
+The output is provided in fully aggregated netCDF files (single files containing all variables and all times).
+Single variables can easily be extracted using the subsetting services of this RAMADDA server,
+or using any OpenDAP-aware analysis tool (we like the xray python package for this!)
+
+Currently the output is not 'cmorized'. This is the 'raw' output in the format produced by CESM.
+Many variable names (and possibly units) will be different from the cmor conventions.
+
+In addition to this 'raw' output, we intend to provide standard 'cmorized' output regridded to standard pressure levels and standard variable names.
+Progress on the cmorizing has been slower than anticipated. Stay tuned!
+
+UPDATE 4/13/2016:
+We discovered a bug in our original TRACMIP setup.
+There was an inconsistency in the surface albedo seen by the surface and the atmosphere, and as a consequence the simulations were not energy-conserving.
+We have re-run the entire TRACMIP suite. The old (corrupted) output has been moved to the inner directory
+bad_albedo/
+The files in the top level CAM4 directory are the up-to-date, energy-conserving simulations.
+
+If you have used the CAM4 output for any analysis prior to April 13 2016, we strongly urge you to re-run your analysis with the corrected runs.
+Sorry for any inconvenience.
+
+The note below is now no longer relevant.
+
+
+UPDATE 1/27/2016
+We discovered an error in our initial LandOrbit run -- the longitude of perihelion was off by 180 degrees,
+so that NH solstice was occurring at perihelion rather than aphelion.
+01/27/2016: this run was RENAMED to LandOrbit_rev
+A new, corrected LandOrbit run was also uploaded.
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..9c1bb731236a4767704cb9ede51915ab208485c5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..9c1bb731236a4767704cb9ede51915ab208485c5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aqua4xCO2TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..72c5af134a2e08b3316ffdd7702dc28fabed1edd
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..72c5af134a2e08b3316ffdd7702dc28fabed1edd
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_aquaControlTRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..c35a6b24486c21756ca820d1a7ee218109575227
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0041-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..c35a6b24486c21756ca820d1a7ee218109575227
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_land4xCO2TRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0041-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..5e1dfdef247012db20a8907ecab10e6cb9f9beba
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..5e1dfdef247012db20a8907ecab10e6cb9f9beba
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landControlTRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..aed093720c4203f4f51c55d95c79ebbb8ad76f0c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0041-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..aed093720c4203f4f51c55d95c79ebbb8ad76f0c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/cdocmorinfo_TRACMIP_CAM4_landOrbitTRACMIP.txt_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0041-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM4
+REFERENCES="CAM4: Neale et al., 2013, The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments, J. Clim., 26, 5150–5168, doi:10.1175/JCLI-D-12-00236.1"
+SOURCE="1.98 lat X 2.58 lon, finite volume (nominally 2.0°); 26 levels; Atmosphere component of CCSM4, aquaplanet modifications as in Rose et al., 2014, The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake, Geophys. Res. Lett., 41, 1071–1078, doi:10.1002/2013GL058955"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="UAlbany"
+INSTITUTION="University at Albany (State University of New York)"
+CONTACT="brose@albany.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e39c3ec2e733519cee25e9fc8bb40f1fb28255c0
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt
@@ -0,0 +1,159 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CAM4 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RTMT cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!!
+!! day
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RTMT cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!!
+!! 3hr
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TS cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RTMT cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=T cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=V cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..497fac808748721c6419185463648f5977f8bdfc
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/mt_TRACMIP_CAM4.txt_original
@@ -0,0 +1,145 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CAM4 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=P0 cmor_name=p0 units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=hyam cmor_name=a units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hybm cmor_name=b units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hyai cmor_name=a_bnds units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hybi cmor_name=b_bnds units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=P0 cmor_name=p0 units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=hyam cmor_name=a units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hybm cmor_name=b units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hyai cmor_name=a_bnds units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hybi cmor_name=b_bnds units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+!¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=P0 cmor_name=p0 units="Pa" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hyam cmor_name=a units="1" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hybm cmor_name=b units="1" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hyai cmor_name=a_bnds units="1" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hybi cmor_name=b_bnds units="1" cell_methods="p" project_mip_table=A3hr /
+¶meter name=T cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=V cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TS cmor_name=ts units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=QREFHT cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/notes_from_Brian_Rose.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/notes_from_Brian_Rose.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b7c6a5e8b89a98c4002252a765a4c1eab4481d29
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM4/notes_from_Brian_Rose.txt
@@ -0,0 +1,93 @@
+Brian Rose
+brose@albany.edu
+
+Here is some information about the CAM4 TRACMIP output, following guidelines for cmorizing requested by Aiko Voigt
+
+Information and the vertical grid
+---------------------------------
+
+CAM4 uses the hybrid sigma-pressure coordinate, same as CAM3 and others.
+The formula to compute pressure associated with a particular level, location and time is
+```
+hyam*P0 + hybm*PS
+```
+for variables at layer midpoints (scalars with 26 elements in the vertical).
+
+For variables at layer interfaces (27 elements in the vertical) the formula is
+```
+hyai*P0 + hybi*PS
+```
+where hyam, hyai, hybm, hybi, P0, PS are all variable names in the CAM4 output files.
+
+Applying these formulas gives the pressure in units of Pa.
+
+
+Information about simulation times
+----------------------------------
+The start and end dates for each simulation are:
+- aquaControlTRACMIP: 0001-01-01 -- 0045-12-31
+- aqua4xCO2TRACMIP: 0046-01-01 -- 0085-12-31
+- landControlTRACMIP: 0001-01-01 -- 0040-12-31
+- land4xCO2TRACMIP: 0041-01-01 -- 0080-12-31
+- landOrbitTRACMIP: 0041-01-01 -- 0080-12-31
+
+Information about output streams
+--------------------------------
+- aquaControlTRACMIP Amon: 0001-01-01 -- 0045-12-31
+- aquaControlTRACMIP Aday: 0036-01-01 -- 0045-12-31
+- aquaControlTRACMIP A3hr: 0043-01-01 -- 0045-12-31
+- aqua4xCO2TRACMIP Amon: 0046-01-01 -- 0085-12-31
+- aqua4xCO2TRACMIP Aday: 0076-01-01 -- 0085-12-31
+- aqua4xCO2TRACMIP A3hr: 0073-01-01 -- 0085-12-31
+- landControlTRACMIP Amon: 0001-01-01 -- 0040-12-31
+- landControlTRACMIP Aday: 0031-01-01 -- 0040-12-31
+- landControlTRACMIP A3hr: 0038-01-01 -- 0040-12-31
+- land4xCO2TRACMIP Amon: 0041-01-01 -- 0080-12-31
+- land4xCO2TRACMIP Aday: 0071-01-01 -- 0080-12-31
+- land4xCO2TRACMIP A3hr: 0078-01-01 -- 0080-12-31
+- landOrbitTRACMIP Amon: 0041-01-01 -- 0080-12-31
+- landOrbitTRACMIP Aday: 0071-01-01 -- 0080-12-31
+- landOrbitTRACMIP A3hr: 0078-01-01 -- 0080-12-31
+
+Here is a key to map the CAM4 history files to the different output streams:
+- `h0`: monthly output (Amon)
+- `h1`: daily output (Aday)
+- `h2`: 3-hourly output (A3hr), 4D fields (time, lev, lat, lon)
+- `h3`: 3-hourly output (A3hr), 3D fields (time, lat, lon)
+
+
+Information about derived fields
+--------------------------------
+Here are some formulas for computing certain standard variables from the CAM4 history fields:
+In each case the upper-case quantities on the RHS of the expression are variable names in the CAM4 output.
+
+Precipitation (all in kg/m2/s or equivalently in m/s):
+pr = PRECC+PRECL
+prsn = PRECSC+PRECSL
+prc = PRECC
+
+Surface orography (in meters):
+orog = PHIS / 9.81
+
+Radiative fluxes (all in W/m2):
+!! Aiko: incorrect is rlus = FLNS - FLDS (rlus is positive up), correct is
+rlus = FLNS + FLDS
+rsus = FSDS - FSNS (rsus is positive up)
+rsuscs = FSDSC - FSNSC (rsuscs is positive up)
+rsut = SOLIN - FSNT (rsut is positive up)
+rsutcs = SOLIN - FSNTC (rsutcs in positive up)
+rtmt = FSNT - FLNT (rtmt is positive down)
+
+
+Additional notes
+--------------------
+A few issues I noticed:
+
+- Following Ross Dixon's CAM3 files, I have mapped the CAM4 field TSMX to tasmax (and similarly for min).
+This is not strictly correct, as TSMX is the maximum *surface* temperature (i.e. skin temperature).
+But max/min surface *air* temperature is not included in the CAM4 output.
+- There are a number of other output fields in the CAM4 history files beyond what is listed in mt_TRACMIP_CAM4.txt.
+I only included those fields that are mappable to variables listed in TRACMIP_Amon.txt
+- All fields in the *.h0.* (monthly) and *.h1.* (daily) history files are time averages
+- The *.h2.* history files are 3-hourly snapshots of 4D dynamical fields
+- The *.h3.* history files are 3-hourly averages of 3D diagnostic fields
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..105a1fe30e3a27e3b568c26014c1706c4c5f12f6
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aqua4xCO2TRACMIP
@@ -0,0 +1,33 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+# created by Aiko Voigt, KIT, 3 Jan 2019
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM5Nor
+REFERENCES="CAM5Nor: Kirkevag, A., et al. (2013), Aerosol–climate interactions in the Norwegian earth system model NorESM1-M, Geosci. Model Dev., 6(1), 207–244, doi:10.5194/gmd-6-207-2013; NorESM2-CAM5.3 2016 atmosphere: CAM-Oslo (NorESM2 trunk July 2016, f19L30); ocean: slab (f19); sea ice: none; land: none"
+SOURCE="CAM5Nor, 2.5deg x 1.0deg, 30 levels"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCC"
+INSTITUTION="Norwegian Climate Centre"
+CONTACT="Thomas.Toniazzo@uni.no"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..40b0db97471b55008a024c874ece93d69b7a2d93
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_aquaControlTRACMIP
@@ -0,0 +1,33 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+# created by Aiko Voigt, KIT, 3 Jan 2019
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM5Nor
+REFERENCES="CAM5Nor: Kirkevag, A., et al. (2013), Aerosol–climate interactions in the Norwegian earth system model NorESM1-M, Geosci. Model Dev., 6(1), 207–244, doi:10.5194/gmd-6-207-2013; NorESM2-CAM5.3 2016 atmosphere: CAM-Oslo (NorESM2 trunk July 2016, f19L30); ocean: slab (f19); sea ice: none; land: none"
+SOURCE="CAM5Nor, 2.5deg x 1.0deg, 30 levels"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCC"
+INSTITUTION="Norwegian Climate Centre"
+CONTACT="Thomas.Toniazzo@uni.no"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..135c41487b021f21bc6a7551cf9880f500fe79b4
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_land4xCO2TRACMIP
@@ -0,0 +1,33 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+# created by Aiko Voigt, KIT, 3 Jan 2019
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xCO2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM5Nor
+REFERENCES="CAM5Nor: Kirkevag, A., et al. (2013), Aerosol–climate interactions in the Norwegian earth system model NorESM1-M, Geosci. Model Dev., 6(1), 207–244, doi:10.5194/gmd-6-207-2013; NorESM2-CAM5.3 2016 atmosphere: CAM-Oslo (NorESM2 trunk July 2016, f19L30); ocean: slab (f19); sea ice: none; land: none"
+SOURCE="CAM5Nor, 2.5deg x 1.0deg, 30 levels"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCC"
+INSTITUTION="Norwegian Climate Centre"
+CONTACT="Thomas.Toniazzo@uni.no"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..abda09c2513b62f7bc8a03b769a85048d3984886
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/cdocmorinfo_TRACMIP_CAM5Nor_landControlTRACMIP
@@ -0,0 +1,33 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+# created by Aiko Voigt, KIT, 3 Jan 2019
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CAM5Nor
+REFERENCES="CAM5Nor: Kirkevag, A., et al. (2013), Aerosol–climate interactions in the Norwegian earth system model NorESM1-M, Geosci. Model Dev., 6(1), 207–244, doi:10.5194/gmd-6-207-2013; NorESM2-CAM5.3 2016 atmosphere: CAM-Oslo (NorESM2 trunk July 2016, f19L30); ocean: slab (f19); sea ice: none; land: none"
+SOURCE="CAM5Nor, 2.5deg x 1.0deg, 30 levels"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCC"
+INSTITUTION="Norwegian Climate Centre"
+CONTACT="Thomas.Toniazzo@uni.no"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/mt_TRACMIP_CAM5Nor.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/mt_TRACMIP_CAM5Nor.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4ba30e6322c490e26791aa2fa5bf96c1e5db8eea
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CAM5Nor/mt_TRACMIP_CAM5Nor.txt
@@ -0,0 +1,174 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CAM5Nor mapping table for TRACMIP
+! adapted by Aiko Voigt, KIT from ECHAM61 mapping table
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rtmt cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=rhs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
+!!!! 6hr data not used at the end ...
+!! 6hr
+!!¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+!!¶meter name=ps cmor_name=ps units="Pa" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+!!¶meter name=psl cmor_name=psl units="Pa" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+!!¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+!!¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+!!¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A6hr_forCAM5Nor /
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CMIP5_Amon b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CMIP5_Amon
new file mode 100644
index 0000000000000000000000000000000000000000..2a897a55bf909b6bd20579629a3862d90d01125b
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CMIP5_Amon
@@ -0,0 +1,2458 @@
+table_id: Table Amon
+modeling_realm: atmos
+
+frequency: mon
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: CMIP5 ! project id
+table_date: 17 July 2013 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: N/A Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: '10- or 30-year run initialized in year XXXX' 'decadalXXXX'
+expt_id_ok: 'volcano-free hindcast initialized in year XXXX' 'noVolcXXXX'
+expt_id_ok: 'prediction with 2010 volcano' 'volcIn2010'
+expt_id_ok: 'pre-industrial control' 'piControl'
+expt_id_ok: 'historical' 'historical'
+expt_id_ok: 'historical extension' 'historicalExt'
+expt_id_ok: 'other historical forcing' 'historicalMisc'
+expt_id_ok: 'mid-Holocene' 'midHolocene'
+expt_id_ok: 'last glacial maximum' 'lgm'
+expt_id_ok: 'last millennium' 'past1000'
+expt_id_ok: 'RCP4.5' 'rcp45'
+expt_id_ok: 'RCP8.5' 'rcp85'
+expt_id_ok: 'RCP2.6' 'rcp26'
+expt_id_ok: 'RCP6' 'rcp60'
+expt_id_ok: 'ESM pre-industrial control' 'esmControl'
+expt_id_ok: 'ESM historical' 'esmHistorical'
+expt_id_ok: 'ESM RCP8.5' 'esmrcp85'
+expt_id_ok: 'ESM fixed climate 1' 'esmFixClim1'
+expt_id_ok: 'ESM fixed climate 2' 'esmFixClim2'
+expt_id_ok: 'ESM feedback 1' 'esmFdbk1'
+expt_id_ok: 'ESM feedback 2' 'esmFdbk2'
+expt_id_ok: '1 percent per year CO2' '1pctCO2'
+expt_id_ok: 'abrupt 4XCO2' 'abrupt4xCO2'
+expt_id_ok: 'natural-only' 'historicalNat'
+expt_id_ok: 'GHG-only' 'historicalGHG'
+expt_id_ok: 'AMIP' 'amip'
+expt_id_ok: '2030 time-slice' 'sst2030'
+expt_id_ok: 'control SST climatology' 'sstClim'
+expt_id_ok: 'CO2 forcing' 'sstClim4xCO2'
+expt_id_ok: 'all aerosol forcing' 'sstClimAerosol'
+expt_id_ok: 'sulfate aerosol forcing' 'sstClimSulfate'
+expt_id_ok: '4xCO2 AMIP' 'amip4xCO2'
+expt_id_ok: 'AMIP plus patterned anomaly' 'amipFuture'
+expt_id_ok: 'aqua planet control' 'aquaControl'
+expt_id_ok: '4xCO2 aqua planet' 'aqua4xCO2'
+expt_id_ok: 'aqua planet plus 4K anomaly' 'aqua4K'
+expt_id_ok: 'AMIP plus 4K anomaly' 'amip4K'
+
+
+approx_interval: 30.000000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+valid_min: -700
+valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: tas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tas
+type: real
+valid_min: 180.6
+valid_max: 335.1
+ok_min_mean_abs: 262.4
+ok_max_mean_abs: 293
+!----------------------------------
+!
+
+!============
+variable_entry: ts
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ts
+type: real
+valid_min: 176.8
+valid_max: 339.6
+ok_min_mean_abs: 262.8
+ok_max_mean_abs: 293.3
+!----------------------------------
+!
+
+!============
+variable_entry: tasmin
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: minimum within days time: mean over days
+cell_measures: area: areacella
+long_name: Daily Minimum Near-Surface Air Temperature
+comment: monthly mean of the daily-minimum near-surface air temperature.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmin
+type: real
+valid_min: 182.8
+valid_max: 323
+ok_min_mean_abs: 260.9
+ok_max_mean_abs: 290.6
+!----------------------------------
+!
+
+!============
+variable_entry: tasmax
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: maximum within days time: mean over days
+cell_measures: area: areacella
+long_name: Daily Maximum Near-Surface Air Temperature
+comment: monthly mean of the daily-maximum near-surface air temperature.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmax
+type: real
+valid_min: 181.9
+valid_max: 341.9
+ok_min_mean_abs: 264.9
+ok_max_mean_abs: 294
+!----------------------------------
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: not, in general, the same as surface pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: psl
+type: real
+valid_min: 9.122e+04
+valid_max: 1.137e+05
+ok_min_mean_abs: 9.57e+04
+ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ps
+type: real
+valid_min: 4.791e+04
+valid_max: 1.119e+05
+ok_min_mean_abs: 9.165e+04
+ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: uas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: uas
+type: real
+valid_min: -19.01
+valid_max: 18.68
+ok_min_mean_abs: 1.668
+ok_max_mean_abs: 4.106
+!----------------------------------
+!
+
+!============
+variable_entry: vas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: vas
+type: real
+valid_min: -18.04
+valid_max: 22.84
+ok_min_mean_abs: 1.065
+ok_max_mean_abs: 2.678
+!----------------------------------
+!
+
+!============
+variable_entry: sfcWind
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: wind_speed
+units: m s-1
+cell_methods: time: mean
+long_name: Near-Surface Wind Speed
+comment: This is the mean of the speed, not the speed computed from the mean u and v components of wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: sfcWind
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hurs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: hurs
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: huss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: huss
+type: real
+valid_min: -7.21e-06
+valid_max: 0.02992
+ok_min_mean_abs: 0.006391
+ok_max_mean_abs: 0.008749
+!----------------------------------
+!
+
+!============
+variable_entry: pr
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pr
+type: real
+valid_min: 0
+valid_max: 0.001254
+ok_min_mean_abs: 2.156e-05
+ok_max_mean_abs: 3.215e-05
+!----------------------------------
+!
+
+!============
+variable_entry: prsn
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: snowfall_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Snowfall Flux
+comment: at surface; includes precipitation of all forms of water in the solid phase
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prsn
+type: real
+valid_min: 0
+valid_max: 0.0002987
+ok_min_mean_abs: 1.449e-06
+ok_max_mean_abs: 6.11e-06
+!----------------------------------
+!
+
+!============
+variable_entry: prc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convective_precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Precipitation
+comment: at surface; includes both liquid and solid phases.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prc
+type: real
+valid_min: 0
+valid_max: 0.0006323
+ok_min_mean_abs: -2.528e-06
+ok_max_mean_abs: 3.209e-05
+!----------------------------------
+!
+
+!============
+variable_entry: evspsbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: water_evaporation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Evaporation
+comment: at surface; flux of water into the atmosphere due to conversion of both liquid and solid phases to vapor (from underlying surface and vegetation)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: evspsbl
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_snow_and_ice_sublimation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Snow and Ice Sublimation Flux
+comment: The snow and ice sublimation flux is the loss of snow and ice mass from the surface resulting from their conversion to water vapor that enters the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sbl
+type: real
+valid_min: -0.004959
+valid_max: 0.0009936
+ok_min_mean_abs: -5.521e-05
+ok_max_mean_abs: 9.61e-05
+!----------------------------------
+!
+
+!============
+variable_entry: tauu
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_eastward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Eastward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauu
+type: real
+positive: down
+valid_min: -2.729
+valid_max: 2.934
+ok_min_mean_abs: 0.03979
+ok_max_mean_abs: 0.1065
+!----------------------------------
+!
+
+!============
+variable_entry: tauv
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_northward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Northward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauv
+type: real
+positive: down
+valid_min: -2.472
+valid_max: 2.527
+ok_min_mean_abs: 0.01447
+ok_max_mean_abs: 0.08134
+!----------------------------------
+!
+
+!============
+variable_entry: hfls
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_latent_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Latent Heat Flux
+comment: includes both evaporation and sublimation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfls
+type: real
+positive: up
+valid_min: -76.77
+valid_max: 790.7
+ok_min_mean_abs: 50.39
+ok_max_mean_abs: 73.2
+!----------------------------------
+!
+
+!============
+variable_entry: hfss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_sensible_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Sensible Heat Flux
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfss
+type: real
+positive: up
+valid_min: -264.5
+valid_max: 844.8
+ok_min_mean_abs: 10.7
+ok_max_mean_abs: 34.84
+!----------------------------------
+!
+
+!============
+variable_entry: rlds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlds
+type: real
+positive: down
+valid_min: 30.71
+valid_max: 520.5
+ok_min_mean_abs: 271.2
+ok_max_mean_abs: 323.6
+!----------------------------------
+!
+
+!============
+variable_entry: rlus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlus
+type: real
+positive: up
+valid_min: 43.75
+valid_max: 658
+ok_min_mean_abs: 325.6
+ok_max_mean_abs: 376.3
+!----------------------------------
+!
+
+!============
+variable_entry: rsds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsds
+type: real
+positive: down
+valid_min: -0.002946
+valid_max: 524.4
+ok_min_mean_abs: 143.9
+ok_max_mean_abs: 181.6
+!----------------------------------
+!
+
+!============
+variable_entry: rsus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsus
+type: real
+positive: up
+valid_min: -0.006589
+valid_max: 422.2
+ok_min_mean_abs: 26.22
+ok_max_mean_abs: 43.77
+!----------------------------------
+!
+
+!============
+variable_entry: rsdscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdscs
+type: real
+positive: down
+valid_min: -1.748e+30
+valid_max: 522.4
+ok_min_mean_abs: 206.9
+ok_max_mean_abs: 239
+!----------------------------------
+!
+
+!============
+variable_entry: rsuscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsuscs
+type: real
+positive: up
+valid_min: -0.01446
+valid_max: 462.2
+ok_min_mean_abs: 31.65
+ok_max_mean_abs: 61.59
+!----------------------------------
+!
+
+!============
+variable_entry: rldscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rldscs
+type: real
+positive: down
+valid_min: 33.55
+valid_max: 543.6
+ok_min_mean_abs: 238.6
+ok_max_mean_abs: 293.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsdt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_incoming_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Incident Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdt
+type: real
+positive: down
+valid_min: 0
+valid_max: 580.4
+ok_min_mean_abs: 282.6
+ok_max_mean_abs: 315.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsut
+type: real
+positive: up
+valid_min: -0.02689
+valid_max: 421.9
+ok_min_mean_abs: 96.72
+ok_max_mean_abs: 114.1
+!----------------------------------
+!
+
+!============
+variable_entry: rlut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Longwave Radiation
+comment: at the top of the atmosphere (to be compared with satellite measurements)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlut
+type: real
+positive: up
+valid_min: 67.48
+valid_max: 383.2
+ok_min_mean_abs: 207.4
+ok_max_mean_abs: 234.4
+!----------------------------------
+!
+
+!============
+variable_entry: rlutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlutcs
+type: real
+positive: up
+valid_min: 70.59
+valid_max: 377.5
+ok_min_mean_abs: 228.9
+ok_max_mean_abs: 260.4
+!----------------------------------
+!
+
+!============
+variable_entry: rsutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsutcs
+type: real
+positive: up
+valid_min: 0
+valid_max: 444
+ok_min_mean_abs: 54.7
+ok_max_mean_abs: 73.36
+!----------------------------------
+!
+
+!============
+variable_entry: prw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_water_vapor_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Water Vapor Path
+comment: vertically integrated through the atmospheric column
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prw
+type: real
+valid_min: -0.0006775
+valid_max: 78.04
+ok_min_mean_abs: 12.75
+ok_max_mean_abs: 23.09
+!----------------------------------
+!
+
+!============
+variable_entry: clt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Total Cloud Fraction
+comment: for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clt
+type: real
+valid_min: -0.0001822
+valid_max: 105
+ok_min_mean_abs: 39.37
+ok_max_mean_abs: 84.98
+!----------------------------------
+!
+
+!============
+variable_entry: clwvi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_condensed_water_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Condensed Water Path
+comment: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clwvi
+type: real
+valid_min: -3.827e-06
+valid_max: 3.364
+ok_min_mean_abs: -0.03549
+ok_max_mean_abs: 0.2846
+!----------------------------------
+!
+
+!============
+variable_entry: clivi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_ice_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Ice Water Path
+comment: mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clivi
+type: real
+valid_min: -1.872e-06
+valid_max: 1.535
+ok_min_mean_abs: -0.0348
+ok_max_mean_abs: 0.1187
+!----------------------------------
+!
+
+!============
+variable_entry: rtmt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: net_downward_radiative_flux_at_top_of_atmosphere_model
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Net Downward Flux at Top of Model
+comment: i.e., at the top of that portion of the atmosphere where dynamics are explicitly treated by the model. This is reported only if it differs from the net downward radiative flux at the top of the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rtmt
+type: real
+positive: down
+valid_min: -232.8
+valid_max: 218.7
+ok_min_mean_abs: 76.91
+ok_max_mean_abs: 89.25
+!----------------------------------
+!
+
+!============
+variable_entry: ccb
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_base
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Base
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ccb
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cct
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_top
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Top
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: cct
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Convection Occurs
+comment: Fraction of time that convection occurs in the grid cell .
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: shallow_convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Shallow Convection Occurs
+comment: Fraction of time that shallow convection occurs in the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: fco2antt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: tendency_of_atmosphere_mass_content_of_carbon_dioxide_expressed_as_carbon_due_to_anthropogenic_emission
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Carbon Mass Flux into Atmosphere Due to All Anthropogenic Emissions of CO2
+comment: This is requested only for the emission-driven coupled carbon climate model runs. Does not include natural fire sources but, includes all anthropogenic sources, including fossil fuel use, cement production, agricultural burning, and sources associated with anthropogenic land use change excluding forest regrowth.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: fco2antt
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: fco2fos
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: tendency_of_atmosphere_mass_content_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_fossil_fuel_combustion
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Carbon Mass Flux into Atmosphere Due to Fossil Fuel Emissions of CO2
+comment: This is the prescribed anthropogenic CO2 flux from fossil fuel use, including cement production, and flaring (but not from land-use changes, agricultural burning, forest regrowth, etc.)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: fco2fos
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: fco2nat
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_natural_sources
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Carbon Mass Flux into the Atmosphere Due to Natural Sources
+comment: This is what the atmosphere sees (on its own grid). This field should be equivalent to the combined natural fluxes of carbon (requested in the L_mon and O_mon tables) that account for natural exchanges between the atmosphere and land or ocean reservoirs (i.e., ""net ecosystem biospheric productivity"", for land, and ""air to sea CO2 flux"", for ocean.)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: fco2nat
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: cl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction_in_atmosphere_layer
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Cloud Area Fraction
+comment: Includes both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cl
+type: real
+valid_min: 0
+valid_max: 105
+ok_min_mean_abs: -0.04479
+ok_max_mean_abs: 26.07
+!----------------------------------
+!
+
+!============
+variable_entry: clw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_liquid_water_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Liquid Water
+comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: clw
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cli
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_ice_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Ice
+comment: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cli
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: mc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_net_upward_convective_mass_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Mass Flux
+comment: The net mass flux should represent the difference between the updraft and downdraft components. The flux is computed as the mass divided by the area of the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time
+out_name: mc
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ta
+type: real
+valid_min: 157.1
+valid_max: 336.3
+ok_min_mean_abs: 194.3
+ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ua
+type: real
+valid_min: -68.65
+valid_max: 136.6
+ok_min_mean_abs: 1.101
+ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: va
+type: real
+valid_min: -71.1
+valid_max: 69.93
+ok_min_mean_abs: 0.9886
+ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hus
+type: real
+valid_min: -0.000299
+valid_max: 0.02841
+ok_min_mean_abs: -0.0003539
+ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
+!============
+variable_entry: hur
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hur
+type: real
+valid_min: -2.642
+valid_max: 135.7
+ok_min_mean_abs: -10.31
+ok_max_mean_abs: 97
+!----------------------------------
+!
+
+!============
+variable_entry: wap
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: lagrangian_tendency_of_air_pressure
+units: Pa s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: omega (=dp/dt)
+comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: wap
+type: real
+valid_min: -1.126
+valid_max: 2.319
+ok_min_mean_abs: -0.005083
+ok_max_mean_abs: 0.04256
+!----------------------------------
+!
+
+!============
+variable_entry: zg
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: geopotential_height
+units: m
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Geopotential Height
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: zg
+type: real
+valid_min: -719.7
+valid_max: 3.437e+04
+ok_min_mean_abs: -113.4
+ok_max_mean_abs: 3.299e+04
+!----------------------------------
+!
+
+!============
+variable_entry: tro3
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_ozone_in_air
+units: 1e-9
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mole Fraction of O3
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: tro3
+type: real
+valid_min: -419.2
+valid_max: 1.162e+04
+ok_min_mean_abs: -149.1
+ok_max_mean_abs: 7558
+!----------------------------------
+!
+
+!============
+variable_entry: tro3Clim
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_ozone_in_air
+units: 1e-9
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Mole Fraction of O3
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time2
+out_name: tro3
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: co2
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_carbon_dioxide_in_air
+units: 1e-6
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mole Fraction of CO2
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: co2
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: co2Clim
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_carbon_dioxide_in_air
+units: 1e-6
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Mole Fraction of CO2
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time2
+out_name: co2
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: co2mass
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_mass_of_carbon_dioxide
+units: kg
+cell_methods: time: mean
+long_name: Total Atmospheric Mass of CO2
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: co2mass
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: co2massClim
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_mass_of_carbon_dioxide
+units: kg
+cell_methods: time: mean within years time: mean over years
+long_name: Total Atmospheric Mass of CO2
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time2
+out_name: co2mass
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ch4
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_methane_in_air
+units: 1e-9
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mole Fraction of CH4
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ch4
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ch4Clim
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_methane_in_air
+units: 1e-9
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Mole Fraction of CH4
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time2
+out_name: ch4
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ch4global
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_methane_in_air
+units: 1e-9
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of CH4
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: ch4global
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ch4globalClim
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_methane_in_air
+units: 1e-9
+cell_methods: time: mean within years time: mean over years
+long_name: Global Mean Mole Fraction of CH4
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time2
+out_name: ch4global
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: n2o
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_nitrous_oxide_in_air
+units: 1e-9
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mole Fraction of N2O
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: n2o
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: n2oClim
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_nitrous_oxide_in_air
+units: 1e-9
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Mole Fraction of N2O
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time2
+out_name: n2o
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: n2oglobal
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_nitrous_oxide_in_air
+units: 1e-9
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of N2O
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: n2oglobal
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: n2oglobalClim
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_nitrous_oxide_in_air
+units: 1e-9
+cell_methods: time: mean within years time: mean over years
+long_name: Global Mean Mole Fraction of N2O
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time2
+out_name: n2oglobal
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cfc11global
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_cfc11_in_air
+units: 1e-12
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of CFC11
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: cfc11global
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cfc12global
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_cfc12_in_air
+units: 1e-12
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of CFC12
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: cfc12global
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hcfc22global
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_hcfc22_in_air
+units: 1e-12
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of HCFC22
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: hcfc22global
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cfc113global
+!============
+modeling_realm: atmos atmosChem
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mole_fraction_of_cfc113_in_air
+units: 1e-12
+cell_methods: time: mean
+long_name: Global Mean Mole Fraction of CFC113
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: time
+out_name: cfc113global
+type: real
+!----------------------------------
+!
+
+
+!============
+variable_entry: pfull
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time2
+out_name: pfull
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: phalf
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Half-Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time2
+out_name: phalf
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: tasAdjust
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Bias-Corrected Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasAdjust
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: tsAdjust
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Bias-Corrected Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tsAdjust
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: pslAdjust
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Bias-Corrected Sea Level Pressure
+comment: not, in general, the same as surface pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pslAdjust
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: prAdjust
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Bias-Corrected Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prAdjust
+type: real
+!----------------------------------
+!
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..bddca6270c8e14a5e4ccebc7204494e76593993f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="2009-01-01"
+REQUIRED_TIME_UNITS="days since 1964-01-01 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CNRM-AM5
+REFERENCES="CNRM-CM5: Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Climate Dynanmics, 40(9), 2091–2121, doi:10.1007/s00382-011-1259-y."
+SOURCE="CNRM-AM6-DIA-v2: Arpege-Climat V6.2.1, SURFEX V8 with slab ocean, T127 (1.4 deg lat x 1.4 deg lon), 31 vertical levels; Atmospheric component set up as in CNRM-CM5; Configuration designed for TRACMIP."
+CALENDAR=gregorian
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CNRM"
+INSTITUTION="CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France)"
+CONTACT="romain.roehrig@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..143a7cf7603ed23376eb65594f7131111139b068
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 1964-01-01 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CNRM-AM5
+REFERENCES="CNRM-CM5: Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Climate Dynanmics, 40(9), 2091–2121, doi:10.1007/s00382-011-1259-y."
+SOURCE="CNRM-AM6-DIA-v2 (Arpege-Climat V6.2.1, SURFEX V8 with slab ocean, T127, 31 vertical levels) - Atmospheric component set up as in CNRM-CM5. Configuration designed for TRACMIP."
+CALENDAR=gregorian
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CNRM"
+INSTITUTION="CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France)"
+CONTACT="romain.roehrig@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..afdda38dc8b812e73f6d571f1a04cb1e744458ad
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="2049-01-01"
+REQUIRED_TIME_UNITS="days since 1964-01-01 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CNRM-AM5
+REFERENCES="CNRM-CM5: Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Climate Dynanmics, 40(9), 2091–2121, doi:10.1007/s00382-011-1259-y."
+SOURCE="CNRM-AM6-DIA-v2: Arpege-Climat V6.2.1, SURFEX V8 with slab ocean, T127 (1.4 deg lat x 1.4 deg lon), 31 vertical levels; Atmospheric component set up as in CNRM-CM5; Configuration designed for TRACMIP."
+CALENDAR=gregorian
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CNRM"
+INSTITUTION="CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France)"
+CONTACT="romain.roehrig@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..fdc285325dd0536678dd21f548c8e9a0da7bfde3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="2009-01-01"
+REQUIRED_TIME_UNITS="days since 1964-01-01 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CNRM-AM5
+REFERENCES="CNRM-CM5: Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Climate Dynanmics, 40(9), 2091–2121, doi:10.1007/s00382-011-1259-y."
+SOURCE="CNRM-AM6-DIA-v2: Arpege-Climat V6.2.1, SURFEX V8 with slab ocean, T127 (1.4 deg lat x 1.4 deg lon), 31 vertical levels; Atmospheric component set up as in CNRM-CM5; Configuration designed for TRACMIP."
+CALENDAR=gregorian
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CNRM"
+INSTITUTION="CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France)"
+CONTACT="romain.roehrig@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..74d8822e186e4ddd5becb0a7057f1704551e15ef
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/cdocmorinfo_TRACMIP_CNRM-AM5_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="2049-01-01"
+REQUIRED_TIME_UNITS="days since 1964-01-01 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=CNRM-AM5
+REFERENCES="CNRM-CM5: Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Climate Dynanmics, 40(9), 2091–2121, doi:10.1007/s00382-011-1259-y."
+SOURCE="CNRM-AM6-DIA-v2 (Arpege-Climat V6.2.1, SURFEX V8 with slab ocean, T127, 31 vertical levels) - Atmospheric component set up as in CNRM-CM5. Configuration designed for TRACMIP."
+CALENDAR=gregorian
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="CNRM"
+INSTITUTION="CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France)"
+CONTACT="romain.roehrig@meteo.fr"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/mt_TRACMIP_CNRM-AM5.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/mt_TRACMIP_CNRM-AM5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5a4177f0469899207abc56b8e96a7660b448683d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/mt_TRACMIP_CNRM-AM5.txt
@@ -0,0 +1,124 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! CNRM-AM5 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/other_info_CNRM-AM5.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/other_info_CNRM-AM5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..86e9b347e5b320a740cf35c545e726bedfdb37b9
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/CNRM-AM5/other_info_CNRM-AM5.txt
@@ -0,0 +1,35 @@
+Vertical grid:
+17 levels
+100000, 92500, 85000, 70000, 60000, 50000, 40000, 30000, 25000, 20000, 15000, 10000, 7000, 5000, 3000, 2000, 1000
+
+List of variables:
+clivi clt clwvi hfls hfss hur hus pr prc prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs ta tas ts ua va wap zg
+
+Simulation times:
+AquaControl: 1964-01-01 --- 2008-12-31
+Aqua4xCO2: 1969-01-01 --- 2008-12-31
+LandControl: 1969-01-01 --- 2008-12-31
+Land4xCO2: 1969-01-01 --- 2008-12-31
+LandOrbit: 1969-01-01 --- 2008-12-31
+
+Available output:
+AquaControl Amon 1979-01-01 --- 2008-12-31
+AquaControl Aday 1999-01-01 --- 2008-12-31
+AquaControl A3hr 2006-01-01 03:00:00 --- 2009-01-01 00:00:00
+
+Aqua4xCO2 Amon 1979-01-01 --- 2008-12-31
+Aqua4xCO2 Aday 1999-01-01 --- 2008-12-31
+Aqua4xCO2 A3hr 2006-01-01 03:00:00 --- 2009-01-01 00:00:00
+
+LandControl Amon 1979-01-01 --- 2008-12-31
+LandControl Aday 1999-01-01 --- 2008-12-31
+LandControl A3hr 2006-01-01 03:00:00 --- 2009-01-01 00:00:00
+
+Land4xCO2 Amon 1979-01-01 --- 2008-12-31
+Land4xCO2 Aday 1999-01-01 --- 2008-12-31
+Land4xCO2 A3hr 2006-01-01 03:00:00 --- 2009-01-01 00:00:00
+
+LandOrbit Amon 1979-01-01 --- 2008-12-31
+LandOrbit Aday 1999-01-01 --- 2008-12-31
+LandOrbit A3hr 2006-01-01 03:00:00 --- 2009-01-01 00:00:00
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..c6ed3a6122ff6b7d1da7742933f940a8fed09cdb
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM61
+REFERENCES="ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM61, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LDEO"
+INSTITUTION="Lamont-Doherty Earth Observatory, Columbia University; Karlsruhe Institute of Technology"
+CONTACT="aiko@ldeo.columbia.edu; aiko.voigt@kit.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..38d565018443b3d7e7f03954cfc66b38fe6a10d5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM61
+REFERENCES="ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM61, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LDEO"
+INSTITUTION="Lamont-Doherty Earth Observatory, Columbia University; Karlsruhe Institute of Technology"
+CONTACT="aiko@ldeo.columbia.edu; aiko.voigt@kit.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..2a41df496bc7831bdb951e307a3e87d3ee1f10bb
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM61
+REFERENCES="ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM61, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LDEO"
+INSTITUTION="Lamont-Doherty Earth Observatory, Columbia University; Karlsruhe Institute of Technology"
+CONTACT="aiko@ldeo.columbia.edu; aiko.voigt@kit.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..6dc968853b3feb6bc242bde3fd60ecacaccd2f05
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM61
+REFERENCES="ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM61, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LDEO"
+INSTITUTION="Lamont-Doherty Earth Observatory, Columbia University; Karlsruhe Institute of Technology"
+CONTACT="aiko@ldeo.columbia.edu; aiko.voigt@kit.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..38e48c7f4ae989710d3a25b81eb7fa8d02301ec9
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM61
+REFERENCES="ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM61, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LDEO"
+INSTITUTION="Lamont-Doherty Earth Observatory, Columbia University; Karlsruhe Institute of Technology"
+CONTACT="aiko@ldeo.columbia.edu; aiko.voigt@kit.edu"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/mt_TRACMIP_ECHAM61.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/mt_TRACMIP_ECHAM61.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cfbd0d49ce3fe578c85af90e74c9066cfb29ba8c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM61/mt_TRACMIP_ECHAM61.txt
@@ -0,0 +1,160 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! ECHAM61 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/README b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/README
new file mode 100644
index 0000000000000000000000000000000000000000..e1d50abce10f858ba41a3c04dba891cae9c5349f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/README
@@ -0,0 +1 @@
+Files generated by Aiko Voigt based on ECHAM61 files
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..7a22ff3ac253ec9f629a94017dd4eb384cea0a47
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="2026-01-01"
+REQUIRED_TIME_UNITS="days since 1981-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM63
+REFERENCES="ECHAM6.3; updated version of ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM63, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="MPI-M"
+INSTITUTION="Max Planck Insitute for Meteorology, Hamburg, Germany"
+CONTACT="juergen.bader@mpimet.mpg.de; jongyeon@princeton.edu; jong-yeon.park@mpimet.mpg.de"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..efc8586cb46eebe18de967b7197a9f5e1e0833bf
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 1981-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM63
+REFERENCES="ECHAM6.3; updated version of ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM63, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="MPI-M"
+INSTITUTION="Max Planck Insitute for Meteorology, Hamburg, Germany"
+CONTACT="juergen.bader@mpimet.mpg.de; jongyeon@princeton.edu; jong-yeon.park@mpimet.mpg.de"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..9450dc8a93393567fc935324f38eb79f13cc4376
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xCO2 of TRACMIP; note: q-flux was NOT set to zero over land, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="2066-01-01"
+REQUIRED_TIME_UNITS="days since 1981-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM63
+REFERENCES="ECHAM6.3; updated version of ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM63, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="MPI-M"
+INSTITUTION="Max Planck Insitute for Meteorology, Hamburg, Germany"
+CONTACT="juergen.bader@mpimet.mpg.de; jongyeon@princeton.edu; jong-yeon.park@mpimet.mpg.de"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..fd486b127544b86495f0fb406e35da8130926c03
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; note: q-flux was NOT set to zero over land, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="2026-01-01"
+REQUIRED_TIME_UNITS="days since 1981-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM63
+REFERENCES="ECHAM6.3; updated version of ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM63, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="MPI-M"
+INSTITUTION="Max Planck Insitute for Meteorology, Hamburg, Germany"
+CONTACT="juergen.bader@mpimet.mpg.de; jongyeon@princeton.edu; jong-yeon.park@mpimet.mpg.de"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..aaff171feeeb0a3b2a801d87c8db19661a90b872
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/cdocmorinfo_TRACMIP_ECHAM63_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; note: q-flux was NOT set to zero over land, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="2066-01-01"
+REQUIRED_TIME_UNITS="days since 1981-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=ECHAM63
+REFERENCES="ECHAM6.3; updated version of ECHAM6.1: Stevens et al., 2013, Atmospheric component of the MPI-M Earth System Model: ECHAM6, JAMES, 5, 146-172, doi:10.1002/jame.2015;"
+SOURCE="ECHAM63, 2013, T63, 47 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="MPI-M"
+INSTITUTION="Max Planck Insitute for Meteorology, Hamburg, Germany"
+CONTACT="juergen.bader@mpimet.mpg.de; jongyeon@princeton.edu; jong-yeon.park@mpimet.mpg.de"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/mt_TRACMIP_ECHAM63.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/mt_TRACMIP_ECHAM63.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e5394676805f36dd781ac806fb8606f806e7192
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/ECHAM63/mt_TRACMIP_ECHAM63.txt
@@ -0,0 +1,161 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! ECHAM63 mapping table for TRACMIP
+! adapted by Aiko Voigt, KIT from ECHAM61 mapping table
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..8b01dcf044e57dd96db425e0a6ab02b1e9705814
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="00XX01-01"
+REQUIRED_TIME_UNITS="days since 1969-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=GISS-ModelE2
+REFERENCES="GISS-ModelE2: Atmosphere-only version of GISS ModelE2; Schmidt, G. A., et al. (2014b), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Model. Earth Syst., 6(1), 141–184, doi:10.1002/2013MS000265; Miller, R. L., et al. (2014), CMIP5 historical simulations (1850-2012) with GISS ModelE2, J. Adv. Model. Earth Syst., 6, 441–477, doi:10.1002/2013MS000266; http://data.giss.nasa.gov/modelE/ar5"
+SOURCE="GISS-ModelE2, 2.0 deg lat x 2.5 deg lon, 40 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NASA-GISS"
+INSTITUTION="NASA/GISS (Goddard Institute for Space Studies) New York, NY"
+CONTACT="sps246@nyu.edu; Sonali McDermid"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..b8bfc2df1d0ef736dde4e625049a3368472ed4f9
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/cdocmorinfo_TRACMIP_GISS-ModelE2_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 1969-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=GISS-ModelE2
+REFERENCES="GISS-ModelE2: Atmosphere-only version of GISS ModelE2; Schmidt, G. A., et al. (2014b), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Model. Earth Syst., 6(1), 141–184, doi:10.1002/2013MS000265; Miller, R. L., et al. (2014), CMIP5 historical simulations (1850-2012) with GISS ModelE2, J. Adv. Model. Earth Syst., 6, 441–477, doi:10.1002/2013MS000266; http://data.giss.nasa.gov/modelE/ar5"
+SOURCE="GISS-ModelE2, 2.0 deg lat x 2.5 deg lon, 40 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NASA-GISS"
+INSTITUTION="NASA/GISS (Goddard Institute for Space Studies) New York, NY"
+CONTACT="sps246@nyu.edu; Sonali McDermid"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/mt_TRACMIP_GISS-ModelE2.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/mt_TRACMIP_GISS-ModelE2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d1a0dd517c9338d1e18a2195ddbbca46445bd169
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/GISS-ModelE2/mt_TRACMIP_GISS-ModelE2.txt
@@ -0,0 +1,167 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! GISS-ModelE2 mapping table for TRACMIP; adapted from mapping table for ECHAM61
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rtmt cmor_name=rtmt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="p" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="p" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..68cf6c07d572cb46108172623dc08e399b70ed01
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="00XX-01-01"
+REQUIRED_TIME_UNITS="days since 1980-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=LMDZ5A
+REFERENCES="LMDZ5A: Atmosphere component of IPSL-CM5A-LR; Hourdin, F., et al. (2013), Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model, Clim. Dyn., 40(9), 2167–2192, doi:10.1007/s00382-012-1411-3"
+SOURCE="LMDZ5A, 1.98 deg lat x 3.88 deg lon; 39 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LOCEAN"
+INSTITUTION="Laboratoire de Oceanographie et du Climat (LOCEAN), Universite Pierre et Marie Curie - Paris 6"
+CONTACT="francis.codron@upmc.fr; Francis Codron"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..045816c502506b379793c8a61837b2f9ad8bbfe9
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 1980-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=LMDZ5A
+REFERENCES="LMDZ5A: Atmosphere component of IPSL-CM5A-LR; Hourdin, F., et al. (2013), Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model, Clim. Dyn., 40(9), 2167–2192, doi:10.1007/s00382-012-1411-3"
+SOURCE="LMDZ5A, 1.98 deg lat x 3.88 deg lon; 39 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LOCEAN"
+INSTITUTION="Laboratoire de Oceanographie et du Climat (LOCEAN), Universite Pierre et Marie Curie - Paris 6"
+CONTACT="francis.codron@upmc.fr; Francis Codron"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..0bf352664908defea4b970bbce0414124338e53e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xCO2 of TRACMIP; note: surface albedo over land increased by 0.14 instead of 0.07, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="20XX-01-01"
+REQUIRED_TIME_UNITS="days since 1980-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=LMDZ5A
+REFERENCES="LMDZ5A: Atmosphere component of IPSL-CM5A-LR; Hourdin, F., et al. (2013), Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model, Clim. Dyn., 40(9), 2167–2192, doi:10.1007/s00382-012-1411-3"
+SOURCE="LMDZ5A, 1.98 deg lat x 3.88 deg lon; 39 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LOCEAN"
+INSTITUTION="Laboratoire de Oceanographie et du Climat (LOCEAN), Universite Pierre et Marie Curie - Paris 6"
+CONTACT="francis.codron@upmc.fr; Francis Codron"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..4f83577f66f44f712b4620131d0b5c98b701c436
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; note: surface albedo over land increased by 0.14 instead of 0.07, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="20XX-01-01"
+REQUIRED_TIME_UNITS="days since 1980-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=LMDZ5A
+REFERENCES="LMDZ5A: Atmosphere component of IPSL-CM5A-LR; Hourdin, F., et al. (2013), Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model, Clim. Dyn., 40(9), 2167–2192, doi:10.1007/s00382-012-1411-3"
+SOURCE="LMDZ5A, 1.98 deg lat x 3.88 deg lon; 39 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LOCEAN"
+INSTITUTION="Laboratoire de Oceanographie et du Climat (LOCEAN), Universite Pierre et Marie Curie - Paris 6"
+CONTACT="francis.codron@upmc.fr; Francis Codron"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..1f5ea020aa990075b64a48b3ddbae17fc2cb5813
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/cdocmorinfo_TRACMIP_LMDZ5A_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xCO2 of TRACMIP; note: surface albedo over land increased by 0.14 instead of 0.07, different from the simulation protocol; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="20XX-01-01"
+REQUIRED_TIME_UNITS="days since 1980-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=LMDZ5A
+REFERENCES="LMDZ5A: Atmosphere component of IPSL-CM5A-LR; Hourdin, F., et al. (2013), Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model, Clim. Dyn., 40(9), 2167–2192, doi:10.1007/s00382-012-1411-3"
+SOURCE="LMDZ5A, 1.98 deg lat x 3.88 deg lon; 39 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="LOCEAN"
+INSTITUTION="Laboratoire de Oceanographie et du Climat (LOCEAN), Universite Pierre et Marie Curie - Paris 6"
+CONTACT="francis.codron@upmc.fr; Francis Codron"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/mt_TRACMIP_LMDZ5A.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/mt_TRACMIP_LMDZ5A.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6feaa90805a23258b566b7dae7bbe74f39fa3bc4
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/LMDZ5A/mt_TRACMIP_LMDZ5A.txt
@@ -0,0 +1,122 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! LMDZ5A mapping table, adapted from ECHAM61 mapping table for TRACMIP
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+!! no 3hr data
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/ESGF_MIROC5.zip b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/ESGF_MIROC5.zip
new file mode 100644
index 0000000000000000000000000000000000000000..ee4162d4ca45bf43142b2b0f07d8a89040a0ed3b
Binary files /dev/null and b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/ESGF_MIROC5.zip differ
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/README b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/README
new file mode 100644
index 0000000000000000000000000000000000000000..5773aa568fdbd1e7c5113fc86a7a3e6391dc8fcb
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/README
@@ -0,0 +1,46 @@
+====================================================
+Memo for the transition from TRACMIP to ESGF archive
+
+2017.10.13
+M. Yoshimori (myoshimo@ees.hokudai.ac.jp)
+====================================================
+
+---------------
+simulation time
+---------------
+AquaControl: 1001-01-01 -- 1045-12-30
+Aqua4xCO2: 1046-01-01 -- 1085-12-30
+LandControl: 1046-01-01 -- 1085-12-30
+Land4xCO2: 1086-01-01 -- 1125-12-30
+LandOrbit: 1086-01-01 -- 1125-12-30
+
+-------------
+output stream
+-------------
+AquaControl Amon 1016-01-01 -- 1045-12-30
+AquaControl Aday 1036-01-01 -- 1045-12-30
+AquaControl A3hr 1043-01-01 -- 1045-12-30
+
+Aqua4xCO2 Amon 1046-01-01 -- 1085-12-30
+Aqua4xCO2 Aday 1076-01-01 -- 1085-12-30
+Aqua4xCO2 A3hr 1083-01-01 -- 1085-12-30
+
+LandControl Amon 1046-01-01 -- 1085-12-30
+LandControl Aday 1076-01-01 -- 1085-12-30
+LandControl A3hr 1083-01-01 -- 1085-12-30
+
+Land4xCO2 Amon 1086-01-01 -- 1125-12-30
+Land4xCO2 Aday 1116-01-01 -- 1125-12-30
+Land4xCO2 A3hr 1123-01-01 -- 1125-12-30
+
+LandOrbit Amon 1086-01-01 -- 1125-12-30
+LandOrbit Aday 1116-01-01 -- 1125-12-30
+LandOrbit A3hr 1123-01-01 -- 1125-12-30
+
+-------------
+other remarks
+-------------
+1. Variable names and directions were already cmorized.
+2. Data were stored in the order of North to South.
+3. 17 CMIP5 pressure levels were adopted for the output stream.
+4. All output fields are time means (month, day, 3 hours) except for "hus", "ta", "ts", "ua", "va", and "wap" in 3-hourly (A3hr) data which represent the instantaneous (snapshot) fields (following the instruction given by Aiko Voigt via the TRACMIP e-mail on 2015.07.31).
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aqua4xCO2TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aqua4xCO2TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ce1bddb89816f8cdcf6e897c9668b67c8a672f8f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aqua4xCO2TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="1046-01-01"
+REQUIRED_TIME_UNITS="days since 1001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MIROC5
+REFERENCES="MIROC5: Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335."
+SOURCE="MIROC5, T85, 40 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="HU"
+INSTITUTION="Faculty of Environmental Earth Science, Hokkaido University"
+CONTACT="myoshimo@ees.hokudai.ac.jp"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aquaControlTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aquaControlTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d2c539c48b2fc6fe1377198c50a26f295ba7bf0b
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_aquaControlTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 1001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MIROC5
+REFERENCES="MIROC5: Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335."
+SOURCE="MIROC5, T85, 40 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="HU"
+INSTITUTION="Faculty of Environmental Earth Science, Hokkaido University"
+CONTACT="myoshimo@ees.hokudai.ac.jp"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_land4xCO2TRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_land4xCO2TRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4d8099572e7427c8c4d50b08d9982ba1d4c0407d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_land4xCO2TRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="1086-01-01"
+REQUIRED_TIME_UNITS="days since 1001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MIROC5
+REFERENCES="MIROC5: Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335."
+SOURCE="MIROC5, T85, 40 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="HU"
+INSTITUTION="Faculty of Environmental Earth Science, Hokkaido University"
+CONTACT="myoshimo@ees.hokudai.ac.jp"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landControlTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landControlTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6af8796b9c17fc565170d778e4a501e3d7fd43af
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landControlTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="1046-01-01"
+REQUIRED_TIME_UNITS="days since 1001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MIROC5
+REFERENCES="MIROC5: Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335."
+SOURCE="MIROC5, T85, 40 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="HU"
+INSTITUTION="Faculty of Environmental Earth Science, Hokkaido University"
+CONTACT="myoshimo@ees.hokudai.ac.jp"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landOrbitTRACMIP.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landOrbitTRACMIP.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3d09bd36b4bae5a00968fa32bd35b9a0e9a8357d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/cdocmorinfo_TRACMIP_MIROC5_landOrbitTRACMIP.txt
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="1086-01-01"
+REQUIRED_TIME_UNITS="days since 1001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MIROC5
+REFERENCES="MIROC5: Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335."
+SOURCE="MIROC5, T85, 40 levels;"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="HU"
+INSTITUTION="Faculty of Environmental Earth Science, Hokkaido University"
+CONTACT="myoshimo@ees.hokudai.ac.jp"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_tracmip_hybrid_coef.nc b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_tracmip_hybrid_coef.nc
new file mode 100644
index 0000000000000000000000000000000000000000..2feaff8c9738660c04016685b843427886f7844e
Binary files /dev/null and b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_tracmip_hybrid_coef.nc differ
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_zaxisdes.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_zaxisdes.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc52c7f89f160cf81af798b46bef6109f692329
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/miroc5_zaxisdes.txt
@@ -0,0 +1,20 @@
+#
+# zaxisID 1
+#
+zaxistype = hybrid
+size = 40
+name = lev
+longname = hybrid
+units = level
+levels = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
+ 27 28 29 30 31 32 33 34 35 36 37 38 39 40
+vctsize = 80
+vct = 290.47 1060.3 1861.3 2659.3 3361.3 4015.8 4693.7 5427.8
+ 6244.1 7174.5 8243.399 9471.601 10883 12504 14367 16508 18968
+ 21794 25041 28773 30310 27721 25153 22239 18977 15908 13406
+ 11264 9480.4 8010.2 6719.6 5518 4427.6 3448.7 2580.9 1846.6
+ 1245.9 756.45 378.22 111.27
+ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
+ 0.0274995 0.10264 0.18492 0.27908 0.3847 0.48375 0.56483 0.63428
+ 0.69215 0.73987 0.78178 0.8208 0.85621 0.888 0.91618 0.94003
+ 0.95954 0.97543 0.98772 0.99639
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6f5f0369da4dbb326da1b692fceac6233e9ec2fe
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt
@@ -0,0 +1,184 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! MIROC5 mapping table for TRACMIP for
+!
+!! Amon
+!!¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=cct cmor_name=cct units="Pa" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" project_mip_table=Amon /
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=hur cmor_name=hur units="fraction" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" project_mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+!!¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=cct cmor_name=cct units="Pa" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" project_mip_table=Aday /
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=hur cmor_name=hur units="fraction" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" project_mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+!!¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cct cmor_name=cct units="Pa" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=hur cmor_name=hur units="fraction" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+!!¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hurs cmor_name=hurs units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..e5c67a2b6f2980b45b82c360c84fca10a3d31e2a
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MIROC5/mt_TRACMIP_MIROC5.txt_original
@@ -0,0 +1,169 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! MIROC5 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=hur cmor_name=hur units="fraction" cell_methods="m" mip_table=Amon /
+¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" mip_table=Amon /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="m" mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" mip_table=Amon /
+!! day
+¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" mip_table=Aday /
+¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" mip_table=Aday /
+¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=hur cmor_name=hur units="fraction" cell_methods="m" mip_table=Aday /
+¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Aday /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" mip_table=Aday /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Aday /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="m" mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" mip_table=Aday /
+!! 3hr
+¶meter name=ctt cmor_name=ctt units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=cl cmor_name=cl units="fraction" cell_methods="m" mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="fraction" cell_methods="m" mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=cmflx cmor_name=cmflx units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="fraction" cell_methods="p" mip_table=A3hr /
+¶meter name=hurs cmor_name=hurs units="fraction" cell_methods="m" mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" mip_table=A3hr /
+¶meter name=huss cmor_name=huss units="kg/kg" cell_methods="m" mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="hPa" cell_methods="m" mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="hPa" cell_methods="m" mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="hPa/s" cell_methods="p" mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..3168ca133754604c58c0dd7b4e67b08af246fb14
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE="MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="PNNL"
+INSTITUTION="Pacific Northwest National Laboratory"
+CONTACT="jian.lu@pnnl.gov"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP_original
new file mode 100644
index 0000000000000000000000000000000000000000..1f11a932dd2d73c5939ea9d44a0bd336cadf8ae0
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aqua4xCO2TRACMIP_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE=“MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=“PNNL”
+INSTITUTION=“Pacific Northwest National Laboratory”
+CONTACT=“jian.lu@pnnl.gov"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..38df470ac47efa8d6373386445982f637cb0d303
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE="MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="PNNL"
+INSTITUTION="Pacific Northwest National Laboratory"
+CONTACT="jian.lu@pnnl.gov"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP_original
new file mode 100644
index 0000000000000000000000000000000000000000..c761c1455a90a51217c1db05b887f9d9adb83888
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_aquaControlTRACMIP_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES=“MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;”
+SOURCE=“MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=“PNNL”
+INSTITUTION=“Pacific Northwest National Laboratory”
+CONTACT=“jian.lu@pnnl.gov"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..bdb2bea606c5de47f894e8543ee4d8101b60b156
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE="MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="PNNL"
+INSTITUTION="Pacific Northwest National Laboratory"
+CONTACT="jian.lu@pnnl.gov"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP_original
new file mode 100644
index 0000000000000000000000000000000000000000..d77eea51519184a9937c3dc441958b48e12b7d1f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_land4xCO2TRACMIP_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES=“MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;”
+SOURCE=“MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=“PNNL”
+INSTITUTION=“Pacific Northwest National Laboratory”
+CONTACT=“jian.lu@pnnl.gov"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..8ab9956b3f8227e0b5a2b60fa11401386bd8f3e6
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE="MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="PNNL"
+INSTITUTION="Pacific Northwest National Laboratory"
+CONTACT="jian.lu@pnnl.gov"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP_original
new file mode 100644
index 0000000000000000000000000000000000000000..17edff79f03992e052175e85370aad2ce4d219d7
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landControlTRACMIP_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES=“MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;”
+SOURCE=“MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=“PNNL”
+INSTITUTION=“Pacific Northwest National Laboratory”
+CONTACT=“jian.lu@pnnl.gov"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..fd5568b31e9dff7257458ae55c3cabdc9c31223a
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES="MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;"
+SOURCE="MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="PNNL"
+INSTITUTION="Pacific Northwest National Laboratory"
+CONTACT="jian.lu@pnnl.gov"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP_original
new file mode 100644
index 0000000000000000000000000000000000000000..655d292c7788af62c5b24dd2030a4ff9c14a1e27
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/cdocmorinfo_TRACMIP_MPAS_landOrbitTRACMIP_original
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0086-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPAS
+REFERENCES=“MPAS: Skamarock et al., 2012, A multiscale nonhydrostatic atmospheric model using Centroidal Voronoi Tesselations and C-grid staggering, Mon. Weather Rev., 140(9), 3090-3105, doi:10.1175/MWR-D-11-00215.1;”
+SOURCE=“MPAS, 240km, 26 levels;"
+CALENDAR=noleap
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=“PNNL”
+INSTITUTION=“Pacific Northwest National Laboratory”
+CONTACT=“jian.lu@pnnl.gov"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0f9fb67fe30b501dffaaded2726637e7155816d6
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt
@@ -0,0 +1,190 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! MPAS mapping table for TRACMIP for
+!
+!! Amon
+!!! PMID is the vertical pressure levels at which the 3-dim variables are reported
+!!¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" project_mip_table=Amon /
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Amon /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+!! precip fluxes must be multiplied with 1000 in cdo cmor scripts, as their units are m/s but these units
+!! are not understood by cdo cmor
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PRECL cmor_name=prl units=“kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PRECSC cmor_name=prsnc units=“kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=PRECSL cmor_name=prsnl units=“kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+!! radiation fluxes
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+!!¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=SST cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+
+!! day
+!!¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" project_mip_table=Aday /
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=Aday /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=Aday /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+!! precip fluxes must be multiplied with 1000 in cdo cmor scripts, as their units are m/s but these units
+!! are not understood by cdo cmor
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PRECL cmor_name=prl units=“kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PRECSC cmor_name=prsnc units=“kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=PRECSL cmor_name=prsnl units=“kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+!! radiation fluxes
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+!!¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=SST cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+
+!! 3hr
+!!¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLOUD cmor_name=cl units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDIWP cmor_name=clivi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDTOT cmor_name=clt units="1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TGCLDLWP cmor_name=clwvi units="g m-2" cell_methods="m" project_mip_table=A3hr /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+!! precip fluxes must be multiplied with 1000 in cdo cmor scripts, as their units are m/s but these units
+!! are not understood by cdo cmor
+¶meter name=PR cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRECC cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=PRECL cmor_name=prl units=“kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PRSN cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=PRECSC cmor_name=prsnc units=“kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=PRECSL cmor_name=prsnl units=“kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+!! radiation fluxes
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RLUS cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUT cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FLUTC cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SOLIN cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUS cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUSCS cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUT cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=RSUTCS cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+!!¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=T cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TREFHT cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=SST cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=V cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt_original b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt_original
new file mode 100644
index 0000000000000000000000000000000000000000..efde6c9558e05c01639f9488b5c1ceda6e114b3c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/mt_TRACMIP_MPAS.txt_original
@@ -0,0 +1,244 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! MPAS mapping table for TRACMIP for
+!
+!! Amon
+! PMID is the vertical pressure levels at which the 3-dim variables are reported
+¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" mip_table=Amon /
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="gram m-2" cell_methods="m" mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="gram m-2" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECL cmor_name=prl units=“m s-1" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSC cmor_name=prsnc units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSL cmor_name=prsnl units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNS cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNSC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDTOA cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSUTOA cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOA cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOAC cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+
+! to close energy budget, it is recommended to use fluxes at top of model (instead of toa)
+¶meter name=FLUT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLUTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSNT cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+! the above are the fluxes at top of model (instead of toa)
+
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TS cmor_name=tas units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=SST cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" mip_table=Amon /
+
+
+
+!! day
+! PMID is the vertical pressure levels at which the 3-dim variables are reported
+¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" mip_table=Amon /
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="gram m-2" cell_methods="m" mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="gram m-2" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECL cmor_name=prl units=“m s-1" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSC cmor_name=prsnc units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSL cmor_name=prsnl units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNS cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNSC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDTOA cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSUTOA cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOA cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOAC cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+
+! to close energy budget, it is recommended to use fluxes at top of model (instead of toa)
+¶meter name=FLUT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLUTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSNT cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+! the above are the fluxes at top of model (instead of toa)
+
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TS cmor_name=tas units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=SST cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" mip_table=Amon /
+
+
+
+!! 3hr
+! PMID is the vertical pressure levels at which the 3-dim variables are reported
+¶meter name=PMID cmor_name=plev units=“Pa” cell_methods="m" mip_table=Amon /
+¶meter name=CLOUD cmor_name=cl units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDICE cmor_name=cli units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDIWP cmor_name=clivi units="gram m-2" cell_methods="m" mip_table=Amon /
+¶meter name=CLDTOT cmor_name=clt units="%" cell_methods="m" mip_table=Amon /
+¶meter name=CLDLIQ cmor_name=clw units="kg/kg" cell_methods="m" mip_table=Amon /
+¶meter name=TGCLDLWP cmor_name=clwvi units="gram m-2" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!!¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=LHFLX cmor_name=hfls p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=SHFLX cmor_name=hfss p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=RELHUM cmor_name=hur units="%" cell_methods="m" mip_table=Amon /
+¶meter name=Q cmor_name=hus units="kg/kg" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECC cmor_name=prc units="m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECL cmor_name=prl units=“m s-1" cell_methods="m" mip_table=Amon /
+! var not output
+!!!!!!!!!!!¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSC cmor_name=prsnc units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=PRECSL cmor_name=prsnl units=“m s-1" cell_methods="m" mip_table=Amon /
+¶meter name=TMQ cmor_name=prw units="kg m-2" cell_methods="m" mip_table=Amon /
+¶meter name=PS cmor_name=ps units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=PSL cmor_name=psl units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=FLDS cmor_name=rlds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNS cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLDSC cmor_name=rldscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNSC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=rsds p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDTOA cmor_name=rsdt p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSUTOA cmor_name=rsut p="u" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOA cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTOAC cmor_name=???? p=“d” units="W m-2" cell_methods="m" mip_table=Amon /
+
+! to close energy budget, it is recommended to use fluxes at top of model (instead of toa)
+¶meter name=FLUT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNT cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLUTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FLNTC cmor_name=???? p=“u” units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSDS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNS cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSDSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNSC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+
+¶meter name=FSNT cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+¶meter name=FSNTC cmor_name=???? p="d" units="W m-2" cell_methods="m" mip_table=Amon /
+! the above are the fluxes at top of model (instead of toa)
+
+¶meter name=U10 cmor_name=sfcWind units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=T cmor_name=ta units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TS cmor_name=tas units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMX cmor_name=tasmax units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TSMN cmor_name=tasmin units="K" cell_methods="m" mip_table=Amon /
+¶meter name=TAUX cmor_name=tauu p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=TAUY cmor_name=tauv p="d" units="Pa" cell_methods="m" mip_table=Amon /
+¶meter name=SST cmor_name=ts units="K" cell_methods="m" mip_table=Amon /
+¶meter name=U cmor_name=ua units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=U10 cmor_name=uas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=V cmor_name=va units="m/s" cell_methods="m" mip_table=Amon /
+! var not output
+!!!¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" mip_table=Amon /
+¶meter name=OMEGA cmor_name=wap units="Pa/s" cell_methods="m" mip_table=Amon /
+¶meter name=Z3 cmor_name=zg units="m" cell_methods="m" mip_table=Amon /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/start-end-dates.rtf b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/start-end-dates.rtf
new file mode 100644
index 0000000000000000000000000000000000000000..1575cc45da1013633425908d2ee442e6e840f89f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/start-end-dates.rtf
@@ -0,0 +1,37 @@
+{\rtf1\ansi\ansicpg1252\cocoartf1504\cocoasubrtf830
+{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\margl1440\margr1440\vieww18880\viewh12260\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 \
+AquaControl: 0001-01-01\'970045-12-31\
+Aqua4xCO2: 0046-01-01\'970085-12-31\
+LandControl: 0046-01-01\'970085-12-31\
+Land4xCO2: 0086-01-01\'970125-12-31\
+LandOrbit: 0086-01-01\'970125-12-31\
+\
+For each output stream:\
+\
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+\cf0 AquaControl Amon: 0001-01-01\'970045-12-31\
+AquaControl Aday: 0036-01-01\'970045-12-31\
+AquaControl A3hr: 0043-01-01\'970045-12-31\
+\
+Aqua4xCO2 Amon: 0046-01-01\'970085-12-31\
+Aqua4xCO2 Aday: 0076-01-01\'970085-12-31\
+Aqua4xCO2 A3hr: 0083-01-01\'970085-12-31\
+\
+LandControl Amon: 0046-01-01\'970085-12-31\
+LandControl Aday: 0076-01-01\'970085-12-31\
+LandControl A3hr: 0083-01-01\'970085-12-31\
+\
+Land4xCO2 Amon: 0086-01-01\'970125-12-31\
+Land4xCO2 Aday: 0116-01-01\'970125-12-31\
+Land4xCO2 A3hr: 0123-01-01\'970125-12-31\
+\
+LandOrbit Amon: 0086-01-01\'970125-12-31\
+LandOrbit Aday: 0116-01-01\'970125-12-31\
+LandOrbit A3hr: 0123-01-01\'970125-12-31\
+}
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/var-list-AquaMPAS-SOM.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/var-list-AquaMPAS-SOM.txt
new file mode 100644
index 0000000000000000000000000000000000000000..39393ed8537e6c97d5e88aa0773bd780fd7a18d8
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MPAS/var-list-AquaMPAS-SOM.txt
@@ -0,0 +1,938 @@
+netcdf Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.0043-02-28-10800 {
+dimensions:
+ time = UNLIMITED ; // (8 currently)
+ nbnd = 2 ;
+ chars = 8 ;
+ lev = 26 ;
+ ilev = 27 ;
+ lon = 144 ;
+ lat = 96 ;
+variables:
+ double lev(lev) ;
+ lev:long_name = "zeta level index at vertical midpoints" ;
+ lev:units = "-" ;
+ double ilev(ilev) ;
+ ilev:long_name = "zeta level index at vertical interfaces" ;
+ ilev:units = "-" ;
+ double time(time) ;
+ time:long_name = "time" ;
+ time:units = "days since 0001-01-01 00:00:00" ;
+ time:calendar = "noleap" ;
+ time:bounds = "time_bnds" ;
+ int date(time) ;
+ date:long_name = "current date (YYYYMMDD)" ;
+ int datesec(time) ;
+ datesec:long_name = "current seconds of current date" ;
+ double lat(lat) ;
+ lat:long_name = "latitude" ;
+ lat:units = "degrees_north" ;
+ double area(lat, lon) ;
+ double lon(lon) ;
+ lon:long_name = "longitude" ;
+ lon:units = "degrees_east" ;
+ double time_bnds(time, nbnd) ;
+ time_bnds:long_name = "time interval endpoints" ;
+ char date_written(time, chars) ;
+ char time_written(time, chars) ;
+ int ntrm ;
+ ntrm:long_name = "spectral truncation parameter M" ;
+ int ntrn ;
+ ntrn:long_name = "spectral truncation parameter N" ;
+ int ntrk ;
+ ntrk:long_name = "spectral truncation parameter K" ;
+ int ndbase ;
+ ndbase:long_name = "base day" ;
+ int nsbase ;
+ nsbase:long_name = "seconds of base day" ;
+ int nbdate ;
+ nbdate:long_name = "base date (YYYYMMDD)" ;
+ int nbsec ;
+ nbsec:long_name = "seconds of base date" ;
+ int mdt ;
+ mdt:long_name = "timestep" ;
+ mdt:units = "s" ;
+ int ndcur(time) ;
+ ndcur:long_name = "current day (from base day)" ;
+ int nscur(time) ;
+ nscur:long_name = "current seconds of current day" ;
+ double co2vmr(time) ;
+ co2vmr:long_name = "co2 volume mixing ratio" ;
+ double ch4vmr(time) ;
+ ch4vmr:long_name = "ch4 volume mixing ratio" ;
+ double n2ovmr(time) ;
+ n2ovmr:long_name = "n2o volume mixing ratio" ;
+ double f11vmr(time) ;
+ f11vmr:long_name = "f11 volume mixing ratio" ;
+ double f12vmr(time) ;
+ f12vmr:long_name = "f12 volume mixing ratio" ;
+ double sol_tsi(time) ;
+ sol_tsi:long_name = "total solar irradiance" ;
+ sol_tsi:units = "W/m2" ;
+ int nsteph(time) ;
+ nsteph:long_name = "current timestep" ;
+ float AEROD_v(time, lat, lon) ;
+ AEROD_v:_FillValue = 1.e+36f ;
+ AEROD_v:missing_value = 1.e+36f ;
+ AEROD_v:units = "1" ;
+ AEROD_v:long_name = "Total Aerosol Optical Depth in visible band" ;
+ AEROD_v:cell_methods = "time: mean" ;
+ AEROD_v:coordinates = "lon lat" ;
+ float CLDHGH(time, lat, lon) ;
+ CLDHGH:Sampling_Sequence = "rad_lwsw" ;
+ CLDHGH:units = "fraction" ;
+ CLDHGH:long_name = "Vertically-integrated high cloud" ;
+ CLDHGH:cell_methods = "time: mean" ;
+ CLDHGH:coordinates = "lon lat" ;
+ float CLDICE(time, lev, lat, lon) ;
+ CLDICE:mdims = 1 ;
+ CLDICE:units = "kg/kg" ;
+ CLDICE:long_name = "Grid box averaged cloud ice amount" ;
+ CLDICE:cell_methods = "time: mean" ;
+ CLDICE:coordinates = "lon lat" ;
+ float CLDICEAP(time, lev, lat, lon) ;
+ CLDICEAP:mdims = 1 ;
+ CLDICEAP:units = "kg/kg" ;
+ CLDICEAP:long_name = "CLDICE after physics" ;
+ CLDICEAP:cell_methods = "time: mean" ;
+ CLDICEAP:coordinates = "lon lat" ;
+ float CLDICEBP(time, lev, lat, lon) ;
+ CLDICEBP:mdims = 1 ;
+ CLDICEBP:units = "kg/kg" ;
+ CLDICEBP:long_name = "CLDICE before physics" ;
+ CLDICEBP:cell_methods = "time: mean" ;
+ CLDICEBP:coordinates = "lon lat" ;
+ float CLDLIQ(time, lev, lat, lon) ;
+ CLDLIQ:mdims = 1 ;
+ CLDLIQ:units = "kg/kg" ;
+ CLDLIQ:long_name = "Grid box averaged cloud liquid amount" ;
+ CLDLIQ:cell_methods = "time: mean" ;
+ CLDLIQ:coordinates = "lon lat" ;
+ float CLDLIQAP(time, lev, lat, lon) ;
+ CLDLIQAP:mdims = 1 ;
+ CLDLIQAP:units = "kg/kg" ;
+ CLDLIQAP:long_name = "CLDLIQ after physics" ;
+ CLDLIQAP:cell_methods = "time: mean" ;
+ CLDLIQAP:coordinates = "lon lat" ;
+ float CLDLIQBP(time, lev, lat, lon) ;
+ CLDLIQBP:mdims = 1 ;
+ CLDLIQBP:units = "kg/kg" ;
+ CLDLIQBP:long_name = "CLDLIQ before physics" ;
+ CLDLIQBP:cell_methods = "time: mean" ;
+ CLDLIQBP:coordinates = "lon lat" ;
+ float CLDLOW(time, lat, lon) ;
+ CLDLOW:Sampling_Sequence = "rad_lwsw" ;
+ CLDLOW:units = "fraction" ;
+ CLDLOW:long_name = "Vertically-integrated low cloud" ;
+ CLDLOW:cell_methods = "time: mean" ;
+ CLDLOW:coordinates = "lon lat" ;
+ float CLDMED(time, lat, lon) ;
+ CLDMED:Sampling_Sequence = "rad_lwsw" ;
+ CLDMED:units = "fraction" ;
+ CLDMED:long_name = "Vertically-integrated mid-level cloud" ;
+ CLDMED:cell_methods = "time: mean" ;
+ CLDMED:coordinates = "lon lat" ;
+ float CLDTOT(time, lat, lon) ;
+ CLDTOT:Sampling_Sequence = "rad_lwsw" ;
+ CLDTOT:units = "fraction" ;
+ CLDTOT:long_name = "Vertically-integrated total cloud" ;
+ CLDTOT:cell_methods = "time: mean" ;
+ CLDTOT:coordinates = "lon lat" ;
+ float CLOUD(time, lev, lat, lon) ;
+ CLOUD:mdims = 1 ;
+ CLOUD:Sampling_Sequence = "rad_lwsw" ;
+ CLOUD:units = "fraction" ;
+ CLOUD:long_name = "Cloud fraction" ;
+ CLOUD:cell_methods = "time: mean" ;
+ CLOUD:coordinates = "lon lat" ;
+ float CME(time, lev, lat, lon) ;
+ CME:mdims = 1 ;
+ CME:units = "kg/kg/s" ;
+ CME:long_name = "Rate of cond-evap within the cloud" ;
+ CME:cell_methods = "time: mean" ;
+ CME:coordinates = "lon lat" ;
+ float CMEICE(time, lev, lat, lon) ;
+ CMEICE:mdims = 1 ;
+ CMEICE:units = "kg/kg/s" ;
+ CMEICE:long_name = "Rate of cond-evap of ice within the cloud" ;
+ CMEICE:cell_methods = "time: mean" ;
+ CMEICE:coordinates = "lon lat" ;
+ float CMELIQ(time, lev, lat, lon) ;
+ CMELIQ:mdims = 1 ;
+ CMELIQ:units = "kg/kg/s" ;
+ CMELIQ:long_name = "Rate of cond-evap of liq within the cloud" ;
+ CMELIQ:cell_methods = "time: mean" ;
+ CMELIQ:coordinates = "lon lat" ;
+ float CMFDICE(time, lev, lat, lon) ;
+ CMFDICE:mdims = 1 ;
+ CMFDICE:units = "kg/kg/s" ;
+ CMFDICE:long_name = "Cloud ice tendency - shallow convection" ;
+ CMFDICE:cell_methods = "time: mean" ;
+ CMFDICE:coordinates = "lon lat" ;
+ float CMFDLIQ(time, lev, lat, lon) ;
+ CMFDLIQ:mdims = 1 ;
+ CMFDLIQ:units = "kg/kg/s" ;
+ CMFDLIQ:long_name = "Cloud liq tendency - shallow convection" ;
+ CMFDLIQ:cell_methods = "time: mean" ;
+ CMFDLIQ:coordinates = "lon lat" ;
+ float CMFDQ(time, lev, lat, lon) ;
+ CMFDQ:mdims = 1 ;
+ CMFDQ:units = "kg/kg/s" ;
+ CMFDQ:long_name = "QV tendency - shallow convection" ;
+ CMFDQ:cell_methods = "time: mean" ;
+ CMFDQ:coordinates = "lon lat" ;
+ float CMFDT(time, lev, lat, lon) ;
+ CMFDT:mdims = 1 ;
+ CMFDT:units = "K/s" ;
+ CMFDT:long_name = "T tendency - shallow convection" ;
+ CMFDT:cell_methods = "time: mean" ;
+ CMFDT:coordinates = "lon lat" ;
+ float CONCLD(time, lev, lat, lon) ;
+ CONCLD:mdims = 1 ;
+ CONCLD:units = "fraction" ;
+ CONCLD:long_name = "Convective cloud cover" ;
+ CONCLD:cell_methods = "time: mean" ;
+ CONCLD:coordinates = "lon lat" ;
+ float DCCLDICE(time, lev, lat, lon) ;
+ DCCLDICE:mdims = 1 ;
+ DCCLDICE:units = "kg/kg/s" ;
+ DCCLDICE:long_name = "CLDICE tendency due to moist processes" ;
+ DCCLDICE:cell_methods = "time: mean" ;
+ DCCLDICE:coordinates = "lon lat" ;
+ float DCCLDLIQ(time, lev, lat, lon) ;
+ DCCLDLIQ:mdims = 1 ;
+ DCCLDLIQ:units = "kg/kg/s" ;
+ DCCLDLIQ:long_name = "CLDLIQ tendency due to moist processes" ;
+ DCCLDLIQ:cell_methods = "time: mean" ;
+ DCCLDLIQ:coordinates = "lon lat" ;
+ float DCQ(time, lev, lat, lon) ;
+ DCQ:mdims = 1 ;
+ DCQ:units = "kg/kg/s" ;
+ DCQ:long_name = "Q tendency due to moist processes" ;
+ DCQ:cell_methods = "time: mean" ;
+ DCQ:coordinates = "lon lat" ;
+ float DISED(time, lev, lat, lon) ;
+ DISED:mdims = 1 ;
+ DISED:units = "kg/kg/s" ;
+ DISED:long_name = "Cloud ice tendency from sedimentation" ;
+ DISED:cell_methods = "time: mean" ;
+ DISED:coordinates = "lon lat" ;
+ float DLSED(time, lev, lat, lon) ;
+ DLSED:mdims = 1 ;
+ DLSED:units = "kg/kg/s" ;
+ DLSED:long_name = "Cloud liquid tendency from sedimentation" ;
+ DLSED:cell_methods = "time: mean" ;
+ DLSED:coordinates = "lon lat" ;
+ float DQSED(time, lev, lat, lon) ;
+ DQSED:mdims = 1 ;
+ DQSED:units = "kg/kg/s" ;
+ DQSED:long_name = "Water vapor tendency from cloud sedimentation" ;
+ DQSED:cell_methods = "time: mean" ;
+ DQSED:coordinates = "lon lat" ;
+ float DTCOND(time, lev, lat, lon) ;
+ DTCOND:mdims = 1 ;
+ DTCOND:units = "K/s" ;
+ DTCOND:long_name = "T tendency - moist processes" ;
+ DTCOND:cell_methods = "time: mean" ;
+ DTCOND:coordinates = "lon lat" ;
+ float DTV(time, lev, lat, lon) ;
+ DTV:mdims = 1 ;
+ DTV:units = "K/s" ;
+ DTV:long_name = "T vertical diffusion" ;
+ DTV:cell_methods = "time: mean" ;
+ DTV:coordinates = "lon lat" ;
+ float EMIS(time, lev, lat, lon) ;
+ EMIS:mdims = 1 ;
+ EMIS:Sampling_Sequence = "rad_lwsw" ;
+ EMIS:units = "1" ;
+ EMIS:long_name = "cloud emissivity" ;
+ EMIS:cell_methods = "time: mean" ;
+ EMIS:coordinates = "lon lat" ;
+ float EVAPPREC(time, lev, lat, lon) ;
+ EVAPPREC:mdims = 1 ;
+ EVAPPREC:units = "kg/kg/s" ;
+ EVAPPREC:long_name = "Rate of evaporation of falling precip" ;
+ EVAPPREC:cell_methods = "time: mean" ;
+ EVAPPREC:coordinates = "lon lat" ;
+ float EVAPQCM(time, lev, lat, lon) ;
+ EVAPQCM:mdims = 1 ;
+ EVAPQCM:units = "kg/kg/s" ;
+ EVAPQCM:long_name = "Q tendency - Evaporation from Hack convection" ;
+ EVAPQCM:cell_methods = "time: mean" ;
+ EVAPQCM:coordinates = "lon lat" ;
+ float EVAPQZM(time, lev, lat, lon) ;
+ EVAPQZM:mdims = 1 ;
+ EVAPQZM:units = "kg/kg/s" ;
+ EVAPQZM:long_name = "Q tendency - Evaporation from Zhang-McFarlane moist convection" ;
+ EVAPQZM:cell_methods = "time: mean" ;
+ EVAPQZM:coordinates = "lon lat" ;
+ float EVAPSNOW(time, lev, lat, lon) ;
+ EVAPSNOW:mdims = 1 ;
+ EVAPSNOW:units = "kg/kg/s" ;
+ EVAPSNOW:long_name = "Rate of evaporation of falling snow" ;
+ EVAPSNOW:cell_methods = "time: mean" ;
+ EVAPSNOW:coordinates = "lon lat" ;
+ float EVAPTCM(time, lev, lat, lon) ;
+ EVAPTCM:mdims = 1 ;
+ EVAPTCM:units = "K/s" ;
+ EVAPTCM:long_name = "T tendency - Evaporation/snow prod from Hack convection" ;
+ EVAPTCM:cell_methods = "time: mean" ;
+ EVAPTCM:coordinates = "lon lat" ;
+ float EVAPTZM(time, lev, lat, lon) ;
+ EVAPTZM:mdims = 1 ;
+ EVAPTZM:units = "K/s" ;
+ EVAPTZM:long_name = "T tendency - Evaporation/snow prod from Zhang convection" ;
+ EVAPTZM:cell_methods = "time: mean" ;
+ EVAPTZM:coordinates = "lon lat" ;
+ float FICE(time, lev, lat, lon) ;
+ FICE:mdims = 1 ;
+ FICE:units = "fraction" ;
+ FICE:long_name = "Fractional ice content within cloud" ;
+ FICE:cell_methods = "time: mean" ;
+ FICE:coordinates = "lon lat" ;
+ float FLDS(time, lat, lon) ;
+ FLDS:Sampling_Sequence = "rad_lwsw" ;
+ FLDS:units = "W/m2" ;
+ FLDS:long_name = "Downwelling longwave flux at surface" ;
+ FLDS:cell_methods = "time: mean" ;
+ FLDS:coordinates = "lon lat" ;
+ float FLDSC(time, lat, lon) ;
+ FLDSC:Sampling_Sequence = "rad_lwsw" ;
+ FLDSC:units = "W/m2" ;
+ FLDSC:long_name = "Clearsky downwelling longwave flux at surface" ;
+ FLDSC:cell_methods = "time: mean" ;
+ FLDSC:coordinates = "lon lat" ;
+ float FLNS(time, lat, lon) ;
+ FLNS:Sampling_Sequence = "rad_lwsw" ;
+ FLNS:units = "W/m2" ;
+ FLNS:long_name = "Net longwave flux at surface" ;
+ FLNS:cell_methods = "time: mean" ;
+ FLNS:coordinates = "lon lat" ;
+ float FLNSC(time, lat, lon) ;
+ FLNSC:Sampling_Sequence = "rad_lwsw" ;
+ FLNSC:units = "W/m2" ;
+ FLNSC:long_name = "Clearsky net longwave flux at surface" ;
+ FLNSC:cell_methods = "time: mean" ;
+ FLNSC:coordinates = "lon lat" ;
+ float FLNT(time, lat, lon) ;
+ FLNT:Sampling_Sequence = "rad_lwsw" ;
+ FLNT:units = "W/m2" ;
+ FLNT:long_name = "Net longwave flux at top of model" ;
+ FLNT:cell_methods = "time: mean" ;
+ FLNT:coordinates = "lon lat" ;
+ float FLNTC(time, lat, lon) ;
+ FLNTC:Sampling_Sequence = "rad_lwsw" ;
+ FLNTC:units = "W/m2" ;
+ FLNTC:long_name = "Clearsky net longwave flux at top of model" ;
+ FLNTC:cell_methods = "time: mean" ;
+ FLNTC:coordinates = "lon lat" ;
+ float FLUT(time, lat, lon) ;
+ FLUT:Sampling_Sequence = "rad_lwsw" ;
+ FLUT:units = "W/m2" ;
+ FLUT:long_name = "Upwelling longwave flux at top of model" ;
+ FLUT:cell_methods = "time: mean" ;
+ FLUT:coordinates = "lon lat" ;
+ float FLUTC(time, lat, lon) ;
+ FLUTC:Sampling_Sequence = "rad_lwsw" ;
+ FLUTC:units = "W/m2" ;
+ FLUTC:long_name = "Clearsky upwelling longwave flux at top of model" ;
+ FLUTC:cell_methods = "time: mean" ;
+ FLUTC:coordinates = "lon lat" ;
+ float FSDS(time, lat, lon) ;
+ FSDS:Sampling_Sequence = "rad_lwsw" ;
+ FSDS:units = "W/m2" ;
+ FSDS:long_name = "Downwelling solar flux at surface" ;
+ FSDS:cell_methods = "time: mean" ;
+ FSDS:coordinates = "lon lat" ;
+ float FSDSC(time, lat, lon) ;
+ FSDSC:Sampling_Sequence = "rad_lwsw" ;
+ FSDSC:units = "W/m2" ;
+ FSDSC:long_name = "Clearsky downwelling solar flux at surface" ;
+ FSDSC:cell_methods = "time: mean" ;
+ FSDSC:coordinates = "lon lat" ;
+ float FSDTOA(time, lat, lon) ;
+ FSDTOA:Sampling_Sequence = "rad_lwsw" ;
+ FSDTOA:units = "W/m2" ;
+ FSDTOA:long_name = "Downwelling solar flux at top of atmosphere" ;
+ FSDTOA:cell_methods = "time: mean" ;
+ FSDTOA:coordinates = "lon lat" ;
+ float FSNS(time, lat, lon) ;
+ FSNS:Sampling_Sequence = "rad_lwsw" ;
+ FSNS:units = "W/m2" ;
+ FSNS:long_name = "Net solar flux at surface" ;
+ FSNS:cell_methods = "time: mean" ;
+ FSNS:coordinates = "lon lat" ;
+ float FSNSC(time, lat, lon) ;
+ FSNSC:Sampling_Sequence = "rad_lwsw" ;
+ FSNSC:units = "W/m2" ;
+ FSNSC:long_name = "Clearsky net solar flux at surface" ;
+ FSNSC:cell_methods = "time: mean" ;
+ FSNSC:coordinates = "lon lat" ;
+ float FSNT(time, lat, lon) ;
+ FSNT:Sampling_Sequence = "rad_lwsw" ;
+ FSNT:units = "W/m2" ;
+ FSNT:long_name = "Net solar flux at top of model" ;
+ FSNT:cell_methods = "time: mean" ;
+ FSNT:coordinates = "lon lat" ;
+ float FSNTC(time, lat, lon) ;
+ FSNTC:Sampling_Sequence = "rad_lwsw" ;
+ FSNTC:units = "W/m2" ;
+ FSNTC:long_name = "Clearsky net solar flux at top of model" ;
+ FSNTC:cell_methods = "time: mean" ;
+ FSNTC:coordinates = "lon lat" ;
+ float FSNTOA(time, lat, lon) ;
+ FSNTOA:Sampling_Sequence = "rad_lwsw" ;
+ FSNTOA:units = "W/m2" ;
+ FSNTOA:long_name = "Net solar flux at top of atmosphere" ;
+ FSNTOA:cell_methods = "time: mean" ;
+ FSNTOA:coordinates = "lon lat" ;
+ float FSNTOAC(time, lat, lon) ;
+ FSNTOAC:Sampling_Sequence = "rad_lwsw" ;
+ FSNTOAC:units = "W/m2" ;
+ FSNTOAC:long_name = "Clearsky net solar flux at top of atmosphere" ;
+ FSNTOAC:cell_methods = "time: mean" ;
+ FSNTOAC:coordinates = "lon lat" ;
+ float FSUTOA(time, lat, lon) ;
+ FSUTOA:Sampling_Sequence = "rad_lwsw" ;
+ FSUTOA:units = "W/m2" ;
+ FSUTOA:long_name = "Upwelling solar flux at top of atmosphere" ;
+ FSUTOA:cell_methods = "time: mean" ;
+ FSUTOA:coordinates = "lon lat" ;
+ float HCME(time, lev, lat, lon) ;
+ HCME:mdims = 1 ;
+ HCME:units = "W/kg" ;
+ HCME:long_name = "Heating from cond-evap within the cloud" ;
+ HCME:cell_methods = "time: mean" ;
+ HCME:coordinates = "lon lat" ;
+ float HEVAP(time, lev, lat, lon) ;
+ HEVAP:mdims = 1 ;
+ HEVAP:units = "W/kg" ;
+ HEVAP:long_name = "Heating from evaporation of falling precip" ;
+ HEVAP:cell_methods = "time: mean" ;
+ HEVAP:coordinates = "lon lat" ;
+ float HFREEZ(time, lev, lat, lon) ;
+ HFREEZ:mdims = 1 ;
+ HFREEZ:units = "W/kg" ;
+ HFREEZ:long_name = "Heating rate due to freezing of precip" ;
+ HFREEZ:cell_methods = "time: mean" ;
+ HFREEZ:coordinates = "lon lat" ;
+ float HMELT(time, lev, lat, lon) ;
+ HMELT:mdims = 1 ;
+ HMELT:units = "W/kg" ;
+ HMELT:long_name = "Heating from snow melt" ;
+ HMELT:cell_methods = "time: mean" ;
+ HMELT:coordinates = "lon lat" ;
+ float HPROGCLD(time, lev, lat, lon) ;
+ HPROGCLD:mdims = 1 ;
+ HPROGCLD:units = "W/kg" ;
+ HPROGCLD:long_name = "Heating from prognostic clouds" ;
+ HPROGCLD:cell_methods = "time: mean" ;
+ HPROGCLD:coordinates = "lon lat" ;
+ float HREPART(time, lev, lat, lon) ;
+ HREPART:mdims = 1 ;
+ HREPART:units = "W/kg" ;
+ HREPART:long_name = "Heating from cloud ice/liquid repartitioning" ;
+ HREPART:cell_methods = "time: mean" ;
+ HREPART:coordinates = "lon lat" ;
+ float HSED(time, lev, lat, lon) ;
+ HSED:mdims = 1 ;
+ HSED:units = "W/kg" ;
+ HSED:long_name = "Heating from cloud sediment evaporation" ;
+ HSED:cell_methods = "time: mean" ;
+ HSED:coordinates = "lon lat" ;
+ float ICE2PR(time, lev, lat, lon) ;
+ ICE2PR:mdims = 1 ;
+ ICE2PR:units = "kg/kg/s" ;
+ ICE2PR:long_name = "Rate of conversion of ice to precip" ;
+ ICE2PR:cell_methods = "time: mean" ;
+ ICE2PR:coordinates = "lon lat" ;
+ float ICEFRAC(time, lat, lon) ;
+ ICEFRAC:units = "fraction" ;
+ ICEFRAC:long_name = "Fraction of sfc area covered by sea-ice" ;
+ ICEFRAC:cell_methods = "time: mean" ;
+ ICEFRAC:coordinates = "lon lat" ;
+ float ICIMR(time, lev, lat, lon) ;
+ ICIMR:mdims = 1 ;
+ ICIMR:units = "kg/kg" ;
+ ICIMR:long_name = "Prognostic in-cloud ice mixing ratio" ;
+ ICIMR:cell_methods = "time: mean" ;
+ ICIMR:coordinates = "lon lat" ;
+ float ICWMR(time, lev, lat, lon) ;
+ ICWMR:mdims = 1 ;
+ ICWMR:units = "kg/kg" ;
+ ICWMR:long_name = "Prognostic in-cloud water mixing ratio" ;
+ ICWMR:cell_methods = "time: mean" ;
+ ICWMR:coordinates = "lon lat" ;
+ float LANDFRAC(time, lat, lon) ;
+ LANDFRAC:units = "fraction" ;
+ LANDFRAC:long_name = "Fraction of sfc area covered by land" ;
+ LANDFRAC:cell_methods = "time: mean" ;
+ LANDFRAC:coordinates = "lon lat" ;
+ float LHFLX(time, lat, lon) ;
+ LHFLX:units = "W/m2" ;
+ LHFLX:long_name = "Surface latent heat flux" ;
+ LHFLX:cell_methods = "time: mean" ;
+ LHFLX:coordinates = "lon lat" ;
+ float LIQ2PR(time, lev, lat, lon) ;
+ LIQ2PR:mdims = 1 ;
+ LIQ2PR:units = "kg/kg/s" ;
+ LIQ2PR:long_name = "Rate of conversion of liq to precip" ;
+ LIQ2PR:cell_methods = "time: mean" ;
+ LIQ2PR:coordinates = "lon lat" ;
+ float LWCF(time, lat, lon) ;
+ LWCF:Sampling_Sequence = "rad_lwsw" ;
+ LWCF:units = "W/m2" ;
+ LWCF:long_name = "Longwave cloud forcing" ;
+ LWCF:cell_methods = "time: mean" ;
+ LWCF:coordinates = "lon lat" ;
+ float OCNFRAC(time, lat, lon) ;
+ OCNFRAC:units = "fraction" ;
+ OCNFRAC:long_name = "Fraction of sfc area covered by ocean" ;
+ OCNFRAC:cell_methods = "time: mean" ;
+ OCNFRAC:coordinates = "lon lat" ;
+ float OMEGA(time, lev, lat, lon) ;
+ OMEGA:mdims = 1 ;
+ OMEGA:units = "Pa/s" ;
+ OMEGA:long_name = "Vertical velocity (pressure)" ;
+ OMEGA:cell_methods = "time: mean" ;
+ OMEGA:coordinates = "lon lat" ;
+ float OMEGAT(time, lev, lat, lon) ;
+ OMEGAT:mdims = 1 ;
+ OMEGAT:units = "K Pa/s" ;
+ OMEGAT:long_name = "Vertical heat flux" ;
+ OMEGAT:cell_methods = "time: mean" ;
+ OMEGAT:coordinates = "lon lat" ;
+ float PBLH(time, lat, lon) ;
+ PBLH:units = "m" ;
+ PBLH:long_name = "PBL height" ;
+ PBLH:cell_methods = "time: mean" ;
+ PBLH:coordinates = "lon lat" ;
+ float PHIS(time, lat, lon) ;
+ PHIS:units = "m2/s2" ;
+ PHIS:long_name = "Surface geopotential" ;
+ PHIS:coordinates = "lon lat" ;
+ float PINT(time, ilev, lat, lon) ;
+ PINT:mdims = 2 ;
+ PINT:units = "Pa" ;
+ PINT:long_name = "Pressure at interface model vertical level" ;
+ PINT:cell_methods = "time: mean" ;
+ PINT:coordinates = "lon lat" ;
+ float PMID(time, lev, lat, lon) ;
+ PMID:mdims = 1 ;
+ PMID:units = "Pa" ;
+ PMID:long_name = "Pressure at middle model vertical level" ;
+ PMID:cell_methods = "time: mean" ;
+ PMID:coordinates = "lon lat" ;
+ float PRECC(time, lat, lon) ;
+ PRECC:units = "m/s" ;
+ PRECC:long_name = "Convective precipitation rate (liq + ice)" ;
+ PRECC:cell_methods = "time: mean" ;
+ PRECC:coordinates = "lon lat" ;
+ float PRECL(time, lat, lon) ;
+ PRECL:units = "m/s" ;
+ PRECL:long_name = "Large-scale (stable) precipitation rate (liq + ice)" ;
+ PRECL:cell_methods = "time: mean" ;
+ PRECL:coordinates = "lon lat" ;
+ float PRECSC(time, lat, lon) ;
+ PRECSC:units = "m/s" ;
+ PRECSC:long_name = "Convective snow rate (water equivalent)" ;
+ PRECSC:cell_methods = "time: mean" ;
+ PRECSC:coordinates = "lon lat" ;
+ float PRECSL(time, lat, lon) ;
+ PRECSL:units = "m/s" ;
+ PRECSL:long_name = "Large-scale (stable) snow rate (water equivalent)" ;
+ PRECSL:cell_methods = "time: mean" ;
+ PRECSL:coordinates = "lon lat" ;
+ float PS(time, lat, lon) ;
+ PS:units = "Pa" ;
+ PS:long_name = "Surface pressure" ;
+ PS:cell_methods = "time: mean" ;
+ PS:coordinates = "lon lat" ;
+ float PSL(time, lat, lon) ;
+ PSL:units = "Pa" ;
+ PSL:long_name = "Sea level pressure" ;
+ PSL:cell_methods = "time: mean" ;
+ PSL:coordinates = "lon lat" ;
+ float PTECLDICE(time, lev, lat, lon) ;
+ PTECLDICE:mdims = 1 ;
+ PTECLDICE:units = "kg/kg/s" ;
+ PTECLDICE:long_name = "CLDICE total physics tendency" ;
+ PTECLDICE:cell_methods = "time: mean" ;
+ PTECLDICE:coordinates = "lon lat" ;
+ float PTECLDLIQ(time, lev, lat, lon) ;
+ PTECLDLIQ:mdims = 1 ;
+ PTECLDLIQ:units = "kg/kg/s" ;
+ PTECLDLIQ:long_name = "CLDLIQ total physics tendency" ;
+ PTECLDLIQ:cell_methods = "time: mean" ;
+ PTECLDLIQ:coordinates = "lon lat" ;
+ float PTEQ(time, lev, lat, lon) ;
+ PTEQ:mdims = 1 ;
+ PTEQ:units = "kg/kg/s" ;
+ PTEQ:long_name = "Q total physics tendency" ;
+ PTEQ:cell_methods = "time: mean" ;
+ PTEQ:coordinates = "lon lat" ;
+ float PTTEND(time, lev, lat, lon) ;
+ PTTEND:mdims = 1 ;
+ PTTEND:units = "K/s" ;
+ PTTEND:long_name = "T total physics tendency" ;
+ PTTEND:cell_methods = "time: mean" ;
+ PTTEND:coordinates = "lon lat" ;
+ float Q(time, lev, lat, lon) ;
+ Q:mdims = 1 ;
+ Q:units = "kg/kg" ;
+ Q:long_name = "Specific humidity" ;
+ Q:cell_methods = "time: mean" ;
+ Q:coordinates = "lon lat" ;
+ float QAP(time, lev, lat, lon) ;
+ QAP:mdims = 1 ;
+ QAP:units = "kg/kg" ;
+ QAP:long_name = "Specific humidity (after physics)" ;
+ QAP:cell_methods = "time: mean" ;
+ QAP:coordinates = "lon lat" ;
+ float QBP(time, lev, lat, lon) ;
+ QBP:mdims = 1 ;
+ QBP:units = "kg/kg" ;
+ QBP:long_name = "Specific humidity (before physics)" ;
+ QBP:cell_methods = "time: mean" ;
+ QBP:coordinates = "lon lat" ;
+ float QFLX(time, lat, lon) ;
+ QFLX:units = "kg/m2/s" ;
+ QFLX:long_name = "Surface water flux" ;
+ QFLX:cell_methods = "time: mean" ;
+ QFLX:coordinates = "lon lat" ;
+ float QREFHT(time, lat, lon) ;
+ QREFHT:units = "kg/kg" ;
+ QREFHT:long_name = "Reference height humidity" ;
+ QREFHT:cell_methods = "time: mean" ;
+ QREFHT:coordinates = "lon lat" ;
+ float QRL(time, lev, lat, lon) ;
+ QRL:mdims = 1 ;
+ QRL:Sampling_Sequence = "rad_lwsw" ;
+ QRL:units = "K/s" ;
+ QRL:long_name = "Longwave heating rate" ;
+ QRL:cell_methods = "time: mean" ;
+ QRL:coordinates = "lon lat" ;
+ float QRS(time, lev, lat, lon) ;
+ QRS:mdims = 1 ;
+ QRS:Sampling_Sequence = "rad_lwsw" ;
+ QRS:units = "K/s" ;
+ QRS:long_name = "Solar heating rate" ;
+ QRS:cell_methods = "time: mean" ;
+ QRS:coordinates = "lon lat" ;
+ float RELHUM(time, lev, lat, lon) ;
+ RELHUM:mdims = 1 ;
+ RELHUM:units = "percent" ;
+ RELHUM:long_name = "Relative humidity" ;
+ RELHUM:cell_methods = "time: mean" ;
+ RELHUM:coordinates = "lon lat" ;
+ float REPARTICE(time, lev, lat, lon) ;
+ REPARTICE:mdims = 1 ;
+ REPARTICE:units = "kg/kg/s" ;
+ REPARTICE:long_name = "Cloud ice tendency from cloud ice/liquid repartitioning" ;
+ REPARTICE:cell_methods = "time: mean" ;
+ REPARTICE:coordinates = "lon lat" ;
+ float REPARTLIQ(time, lev, lat, lon) ;
+ REPARTLIQ:mdims = 1 ;
+ REPARTLIQ:units = "kg/kg/s" ;
+ REPARTLIQ:long_name = "Cloud liq tendency from cloud ice/liquid repartitioning" ;
+ REPARTLIQ:cell_methods = "time: mean" ;
+ REPARTLIQ:coordinates = "lon lat" ;
+ float SFCLDICE(time, lat, lon) ;
+ SFCLDICE:units = "kg/m2/s" ;
+ SFCLDICE:long_name = "CLDICE surface flux" ;
+ SFCLDICE:cell_methods = "time: mean" ;
+ SFCLDICE:coordinates = "lon lat" ;
+ float SFCLDLIQ(time, lat, lon) ;
+ SFCLDLIQ:units = "kg/m2/s" ;
+ SFCLDLIQ:long_name = "CLDLIQ surface flux" ;
+ SFCLDLIQ:cell_methods = "time: mean" ;
+ SFCLDLIQ:coordinates = "lon lat" ;
+ float SHFLX(time, lat, lon) ;
+ SHFLX:units = "W/m2" ;
+ SHFLX:long_name = "Surface sensible heat flux" ;
+ SHFLX:cell_methods = "time: mean" ;
+ SHFLX:coordinates = "lon lat" ;
+ float SNOWHICE(time, lat, lon) ;
+ SNOWHICE:units = "m" ;
+ SNOWHICE:long_name = "Snow depth over ice" ;
+ SNOWHICE:cell_methods = "time: mean" ;
+ SNOWHICE:coordinates = "lon lat" ;
+ float SNOWHLND(time, lat, lon) ;
+ SNOWHLND:units = "m" ;
+ SNOWHLND:long_name = "Water equivalent snow depth" ;
+ SNOWHLND:cell_methods = "time: mean" ;
+ SNOWHLND:coordinates = "lon lat" ;
+ float SOLIN(time, lat, lon) ;
+ SOLIN:Sampling_Sequence = "rad_lwsw" ;
+ SOLIN:units = "W/m2" ;
+ SOLIN:long_name = "Solar insolation" ;
+ SOLIN:cell_methods = "time: mean" ;
+ SOLIN:coordinates = "lon lat" ;
+ float SST(time, lat, lon) ;
+ SST:units = "K" ;
+ SST:long_name = "sea surface temperature" ;
+ SST:cell_methods = "time: mean" ;
+ SST:coordinates = "lon lat" ;
+ float SWCF(time, lat, lon) ;
+ SWCF:Sampling_Sequence = "rad_lwsw" ;
+ SWCF:units = "W/m2" ;
+ SWCF:long_name = "Shortwave cloud forcing" ;
+ SWCF:cell_methods = "time: mean" ;
+ SWCF:coordinates = "lon lat" ;
+ float T(time, lev, lat, lon) ;
+ T:mdims = 1 ;
+ T:units = "K" ;
+ T:long_name = "Temperature" ;
+ T:cell_methods = "time: mean" ;
+ T:coordinates = "lon lat" ;
+ float TAP(time, lev, lat, lon) ;
+ TAP:mdims = 1 ;
+ TAP:units = "K" ;
+ TAP:long_name = "Temperature (after physics)" ;
+ TAP:cell_methods = "time: mean" ;
+ TAP:coordinates = "lon lat" ;
+ float TAUX(time, lat, lon) ;
+ TAUX:units = "N/m2" ;
+ TAUX:long_name = "Zonal surface stress" ;
+ TAUX:cell_methods = "time: mean" ;
+ TAUX:coordinates = "lon lat" ;
+ float TAUY(time, lat, lon) ;
+ TAUY:units = "N/m2" ;
+ TAUY:long_name = "Meridional surface stress" ;
+ TAUY:cell_methods = "time: mean" ;
+ TAUY:coordinates = "lon lat" ;
+ float TBP(time, lev, lat, lon) ;
+ TBP:mdims = 1 ;
+ TBP:units = "K" ;
+ TBP:long_name = "Temperature (before physics)" ;
+ TBP:cell_methods = "time: mean" ;
+ TBP:coordinates = "lon lat" ;
+ float TGCLDCWP(time, lat, lon) ;
+ TGCLDCWP:Sampling_Sequence = "rad_lwsw" ;
+ TGCLDCWP:units = "gram/m2" ;
+ TGCLDCWP:long_name = "Total grid-box cloud water path (liquid and ice)" ;
+ TGCLDCWP:cell_methods = "time: mean" ;
+ TGCLDCWP:coordinates = "lon lat" ;
+ float TGCLDIWP(time, lat, lon) ;
+ TGCLDIWP:Sampling_Sequence = "rad_lwsw" ;
+ TGCLDIWP:units = "gram/m2" ;
+ TGCLDIWP:long_name = "Total grid-box cloud ice water path" ;
+ TGCLDIWP:cell_methods = "time: mean" ;
+ TGCLDIWP:coordinates = "lon lat" ;
+ float TGCLDLWP(time, lat, lon) ;
+ TGCLDLWP:Sampling_Sequence = "rad_lwsw" ;
+ TGCLDLWP:units = "gram/m2" ;
+ TGCLDLWP:long_name = "Total grid-box cloud liquid water path" ;
+ TGCLDLWP:cell_methods = "time: mean" ;
+ TGCLDLWP:coordinates = "lon lat" ;
+ float TMQ(time, lat, lon) ;
+ TMQ:units = "kg/m2" ;
+ TMQ:long_name = "Total (vertically integrated) precipitable water" ;
+ TMQ:cell_methods = "time: mean" ;
+ TMQ:coordinates = "lon lat" ;
+ float TREFHT(time, lat, lon) ;
+ TREFHT:units = "K" ;
+ TREFHT:long_name = "Reference height temperature" ;
+ TREFHT:cell_methods = "time: mean" ;
+ TREFHT:coordinates = "lon lat" ;
+ float TS(time, lat, lon) ;
+ TS:units = "K" ;
+ TS:long_name = "Surface temperature (radiative)" ;
+ TS:cell_methods = "time: mean" ;
+ TS:coordinates = "lon lat" ;
+ float TSMN(time, lat, lon) ;
+ TSMN:units = "K" ;
+ TSMN:long_name = "Minimum surface temperature over output period" ;
+ TSMN:cell_methods = "time: minimum" ;
+ TSMN:coordinates = "lon lat" ;
+ float TSMX(time, lat, lon) ;
+ TSMX:units = "K" ;
+ TSMX:long_name = "Maximum surface temperature over output period" ;
+ TSMX:cell_methods = "time: maximum" ;
+ TSMX:coordinates = "lon lat" ;
+ float TTGW(time, lev, lat, lon) ;
+ TTGW:mdims = 1 ;
+ TTGW:units = "K/s" ;
+ TTGW:long_name = "T tendency - gravity wave drag" ;
+ TTGW:cell_methods = "time: mean" ;
+ TTGW:coordinates = "lon lat" ;
+ float TTGWORO(time, lev, lat, lon) ;
+ TTGWORO:mdims = 1 ;
+ TTGWORO:units = "K/s" ;
+ TTGWORO:long_name = "T tendency - orographic gravity wave drag" ;
+ TTGWORO:cell_methods = "time: mean" ;
+ TTGWORO:coordinates = "lon lat" ;
+ float TUQ(time, lat, lon) ;
+ TUQ:units = "m/skg/m2" ;
+ TUQ:long_name = "Integrated zonal water transport" ;
+ TUQ:cell_methods = "time: mean" ;
+ TUQ:coordinates = "lon lat" ;
+ float TUT(time, lat, lon) ;
+ TUT:units = "m/s K kg/m2" ;
+ TUT:long_name = "Integrated zonal temperature transport" ;
+ TUT:cell_methods = "time: mean" ;
+ TUT:coordinates = "lon lat" ;
+ float TUZ(time, lat, lon) ;
+ TUZ:units = "m/s m kg/m2" ;
+ TUZ:long_name = "Integrated zonal geopotential transport" ;
+ TUZ:cell_methods = "time: mean" ;
+ TUZ:coordinates = "lon lat" ;
+ float TVQ(time, lat, lon) ;
+ TVQ:units = "m/skg/m2" ;
+ TVQ:long_name = "Integrated meridional water transport" ;
+ TVQ:cell_methods = "time: mean" ;
+ TVQ:coordinates = "lon lat" ;
+ float TVT(time, lat, lon) ;
+ TVT:units = "m/s K kg/m2" ;
+ TVT:long_name = "Integrated meridional temperature transport" ;
+ TVT:cell_methods = "time: mean" ;
+ TVT:coordinates = "lon lat" ;
+ float TVZ(time, lat, lon) ;
+ TVZ:units = "m/s m kg/m2" ;
+ TVZ:long_name = "Integrated meridional geopotential transport" ;
+ TVZ:cell_methods = "time: mean" ;
+ TVZ:coordinates = "lon lat" ;
+ float U(time, lev, lat, lon) ;
+ U:mdims = 1 ;
+ U:units = "m/s" ;
+ U:long_name = "Zonal wind" ;
+ U:cell_methods = "time: mean" ;
+ U:coordinates = "lon lat" ;
+ float U10(time, lat, lon) ;
+ U10:units = "m/s" ;
+ U10:long_name = "10m wind speed" ;
+ U10:cell_methods = "time: mean" ;
+ U10:coordinates = "lon lat" ;
+ float UAP(time, lev, lat, lon) ;
+ UAP:mdims = 1 ;
+ UAP:units = "m/s" ;
+ UAP:long_name = "Zonal wind (after physics)" ;
+ UAP:cell_methods = "time: mean" ;
+ UAP:coordinates = "lon lat" ;
+ float UQ(time, lev, lat, lon) ;
+ UQ:mdims = 1 ;
+ UQ:units = "m/skg/kg" ;
+ UQ:long_name = "Zonal water transport" ;
+ UQ:cell_methods = "time: mean" ;
+ UQ:coordinates = "lon lat" ;
+ float UU(time, lev, lat, lon) ;
+ UU:mdims = 1 ;
+ UU:units = "m2/s2" ;
+ UU:long_name = "Zonal velocity squared" ;
+ UU:cell_methods = "time: mean" ;
+ UU:coordinates = "lon lat" ;
+ float V(time, lev, lat, lon) ;
+ V:mdims = 1 ;
+ V:units = "m/s" ;
+ V:long_name = "Meridional wind" ;
+ V:cell_methods = "time: mean" ;
+ V:coordinates = "lon lat" ;
+ float VAP(time, lev, lat, lon) ;
+ VAP:mdims = 1 ;
+ VAP:units = "m/s" ;
+ VAP:long_name = "Meridional wind (after physics)" ;
+ VAP:cell_methods = "time: mean" ;
+ VAP:coordinates = "lon lat" ;
+ float VD01(time, lev, lat, lon) ;
+ VD01:mdims = 1 ;
+ VD01:units = "kg/kg/s" ;
+ VD01:long_name = "Vertical diffusion of Q" ;
+ VD01:cell_methods = "time: mean" ;
+ VD01:coordinates = "lon lat" ;
+ float VDCLDICE(time, lev, lat, lon) ;
+ VDCLDICE:mdims = 1 ;
+ VDCLDICE:units = "kg/kg/s" ;
+ VDCLDICE:long_name = "Vertical diffusion of CLDICE" ;
+ VDCLDICE:cell_methods = "time: mean" ;
+ VDCLDICE:coordinates = "lon lat" ;
+ float VDCLDLIQ(time, lev, lat, lon) ;
+ VDCLDLIQ:mdims = 1 ;
+ VDCLDLIQ:units = "kg/kg/s" ;
+ VDCLDLIQ:long_name = "Vertical diffusion of CLDLIQ" ;
+ VDCLDLIQ:cell_methods = "time: mean" ;
+ VDCLDLIQ:coordinates = "lon lat" ;
+ float VQ(time, lev, lat, lon) ;
+ VQ:mdims = 1 ;
+ VQ:units = "m/skg/kg" ;
+ VQ:long_name = "Meridional water transport" ;
+ VQ:cell_methods = "time: mean" ;
+ VQ:coordinates = "lon lat" ;
+ float VT(time, lev, lat, lon) ;
+ VT:mdims = 1 ;
+ VT:units = "K m/s" ;
+ VT:long_name = "Meridional heat transport" ;
+ VT:cell_methods = "time: mean" ;
+ VT:coordinates = "lon lat" ;
+ float VU(time, lev, lat, lon) ;
+ VU:mdims = 1 ;
+ VU:units = "m2/s2" ;
+ VU:long_name = "Meridional flux of zonal momentum" ;
+ VU:cell_methods = "time: mean" ;
+ VU:coordinates = "lon lat" ;
+ float VV(time, lev, lat, lon) ;
+ VV:mdims = 1 ;
+ VV:units = "m2/s2" ;
+ VV:long_name = "Meridional velocity squared" ;
+ VV:cell_methods = "time: mean" ;
+ VV:coordinates = "lon lat" ;
+ float Z3(time, lev, lat, lon) ;
+ Z3:mdims = 1 ;
+ Z3:units = "m" ;
+ Z3:long_name = "Geopotential Height (above sea level)" ;
+ Z3:cell_methods = "time: mean" ;
+ Z3:coordinates = "lon lat" ;
+ float ZMDICE(time, lev, lat, lon) ;
+ ZMDICE:mdims = 1 ;
+ ZMDICE:units = "kg/kg/s" ;
+ ZMDICE:long_name = "Cloud ice tendency - Zhang-McFarlane convection" ;
+ ZMDICE:cell_methods = "time: mean" ;
+ ZMDICE:coordinates = "lon lat" ;
+ float ZMDLF(time, lev, lat, lon) ;
+ ZMDLF:mdims = 1 ;
+ ZMDLF:units = "kg/kg/s" ;
+ ZMDLF:long_name = "Detrained liquid water from ZM convection" ;
+ ZMDLF:cell_methods = "time: mean" ;
+ ZMDLF:coordinates = "lon lat" ;
+ float ZMDLIQ(time, lev, lat, lon) ;
+ ZMDLIQ:mdims = 1 ;
+ ZMDLIQ:units = "kg/kg/s" ;
+ ZMDLIQ:long_name = "Cloud liq tendency - Zhang-McFarlane convection" ;
+ ZMDLIQ:cell_methods = "time: mean" ;
+ ZMDLIQ:coordinates = "lon lat" ;
+ float ZMDQ(time, lev, lat, lon) ;
+ ZMDQ:mdims = 1 ;
+ ZMDQ:units = "kg/kg/s" ;
+ ZMDQ:long_name = "Q tendency - Zhang-McFarlane moist convection" ;
+ ZMDQ:cell_methods = "time: mean" ;
+ ZMDQ:coordinates = "lon lat" ;
+ float ZMDT(time, lev, lat, lon) ;
+ ZMDT:mdims = 1 ;
+ ZMDT:units = "K/s" ;
+ ZMDT:long_name = "T tendency - Zhang-McFarlane moist convection" ;
+ ZMDT:cell_methods = "time: mean" ;
+ ZMDT:coordinates = "lon lat" ;
+ float ZMMTT(time, lev, lat, lon) ;
+ ZMMTT:mdims = 1 ;
+ ZMMTT:units = "K/s" ;
+ ZMMTT:long_name = "T tendency - ZM convective momentum transport" ;
+ ZMMTT:cell_methods = "time: mean" ;
+ ZMMTT:coordinates = "lon lat" ;
+ float gw(lat) ;
+ gw:long_name = "gauss weights" ;
+ int nlon(lat) ;
+ nlon:long_name = "number of longitudes" ;
+
+// global attributes:
+ :np = -1 ;
+ :ne = -1 ;
+ :Conventions = "CF-1.0" ;
+ :source = "CAM" ;
+ :case = "Aqua_SOM_newmpas_cam4_240km_3hrly" ;
+ :title = "UNSET" ;
+ :logname = "jianlu" ;
+ :host = "nid00352" ;
+ :Version = "$Name$" ;
+ :revision_Id = "$Id$" ;
+ :initial_file = "/global/u1/j/jianlu/MPAS/AQUA_SOM/inputdata/cami_0000-01-01_PeterTOPO_x1.10242_L26_PSdry_correction_20120608.nc" ;
+ :topography_file = "/global/u1/j/jianlu/MPAS/AQUA_SOM/inputdata/AQUA_mp10242a_topo.nc" ;
+ :Regridding = "Regridded using IDL routine remap.pro (Bergmann)" ;
+}
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..bdce0d13e969e5be5ea619588869d3fd02d8a5d1
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-CTL
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 standard configuration, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..2f632ca7cb2b2916d8e77c17433f2fce409cf045
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-CTL
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 standard configuration, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..108333bf27b3b99af54d6917fb131ef2b0dc5d9d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-CTL
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 standard configuration, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..3fe21402eb157cf85cd300f5cbd42ee7b8042a74
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landControlTRACMIP
@@ -0,0 +1,33 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-CTL
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 standard configuration, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..0303b5f0b50ad8d770bf873cc533c0773b599d5e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/cdocmorinfo_TRACMIP_MetUM-CTL_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-CTL
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 standard configuration, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
\ No newline at end of file
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/mt_TRACMIP_MetUM-CTL.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/mt_TRACMIP_MetUM-CTL.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cfbd0d49ce3fe578c85af90e74c9066cfb29ba8c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/mt_TRACMIP_MetUM-CTL.txt
@@ -0,0 +1,160 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! ECHAM61 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/otherinfo_MetUM-CTL.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/otherinfo_MetUM-CTL.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1c30e969e6fb2451dbfe3f904eebdfa190707267
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-CTL/otherinfo_MetUM-CTL.txt
@@ -0,0 +1,42 @@
+Hi Aiko,
+
+I attach my attempt at these files for MetUM. Perhaps it’s just luck, but I didn’t have to make any changes to the translation table from the one that you supplied for ECHAM. I verified all of the variables, sign conventions and units, but it appears that our models are similar in these respects. All of the netCDF files that I uploaded to the Miami server already contain the cmor variable names, so you should not need to change any variable names.
+
+The translation table should be the identical for MetUM-ENT as for MetUM-CTL, since it’s the same model.
+
+All variables are available for our models.
+
+The fields are already interpolated on to pressure levels.
+
+Start dates and end dates:
+
+AquaControl: 0001-01-01 to 0045-12-30
+Amon: 0016-01-01 to 0045-12-30
+Aday: 0036-01-01 to 0045-12-30
+A3hr: 0043-01-01 to 0045-12-30
+
+Aqua4xCO2: 0046-01-01 to 0085-12-30
+Amon: 0046-01-01 to 0085-12-30
+Aday: 0076-01-01 to 0085-12-30
+A3hr: 0083-01-01 to 0085-12-30
+
+LandControl: 0046-01-01 to 0085-12-30
+Amon: 0046-01-01 to 0085-12-30
+Aday: 0076-01-01 to 0085-12-30
+A3hr: 0083-01-01 to 0085-12-30
+
+Land4xCO2: 0086-01-01 to 0125-12-30
+Amon: 0086-01-01 to 0125-12-30
+Aday: 0116-01-01 to 0125-12-30
+A3hr: 0123-01-01 to 0125-12-30
+
+
+LandOrbit: 0086-01-01 to 0125-12-30
+Amon: 0086-01-01 to 0125-12-30
+Aday: 0116-01-01 to 0125-12-30
+A3hr: 0123-01-01 to 0125-12-30
+
+Please let me know if there are any errors or inconsistencies, and I will try to fix them.
+
+Kind regards,
+Nick
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aqua4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aqua4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..d90311d943aa1afd43f82234ab2a64cc0b751ffe
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aqua4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aqua4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-ENT
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 with 50% increase to convective entrainment and detrainment rates, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aquaControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aquaControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..4bc66e6c1f3bf58ca4c041d63334d7690d40ea29
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_aquaControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="aquaControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="aqua planet control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="CTRL"
+BRANCH_TIME="N/A"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-ENT
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 with 50% increase to convective entrainment and detrainment rates, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_land4xCO2TRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_land4xCO2TRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..06806368b242b965588a5d6eeaaa80d456430d3d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_land4xCO2TRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="land4xCO2TRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with 4xco2 of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="CO2"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-ENT
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 with 50% increase to convective entrainment and detrainment rates, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landControlTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landControlTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..70eda724853b690a22cb09f2fd4c4ca7fd68ea28
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landControlTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landControlTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land control of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="aquaControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="aquaControlTRACMIP"
+FORCING="CTRL"
+BRANCH_TIME="0046-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-ENT
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 with 50% increase to convective entrainment and detrainment rates, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landOrbitTRACMIP b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landOrbitTRACMIP
new file mode 100644
index 0000000000000000000000000000000000000000..dc887be4ec4e071da2218066e1ea5725eec6d02d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/cdocmorinfo_TRACMIP_MetUM-ENT_landOrbitTRACMIP
@@ -0,0 +1,32 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="landOrbitTRACMIP"
+MEMBER=r1i1p1
+PROJECT_ID=TRACMIP
+PRODUCT=output
+COMMENT="idealized land with orbital changes of TRACMIP; for TRACMIP see Voigt et al., 2016, The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP, 9, 1868–1891, doi:10.1002/2016MS000748"
+HISTORY="N/A"
+PARENT_EXPERIMENT="landControlTRACMIP"
+PARENT_EXPERIMENT_RIP="r1i1p1"
+PARENT_EXPERIMENT_ID="landControlTRACMIP"
+FORCING="Orbit"
+BRANCH_TIME="0091-01-01"
+REQUIRED_TIME_UNITS="days since 0001-1-1 00:00:00"
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MetUM-ENT
+REFERENCES="MetUM-GA6: Walters et al., 2017, The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487-1520, doi:10.5194/gmd-10-1487-2017;"
+SOURCE="MetUM-GA6 with 50% increase to convective entrainment and detrainment rates, N96 (1.875 deg lon x 1.25 deg lat), 85 levels; KPP mixed-layer ocean configured as slab ocean"
+CALENDAR=360_day
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID="NCAS"
+INSTITUTION="National Centre for Atmospheric Science, University of Reading"
+CONTACT="nicholas.klingaman@ncas.ac.uk"
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/mt_TRACMIP_MetUM-ENT.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/mt_TRACMIP_MetUM-ENT.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cfbd0d49ce3fe578c85af90e74c9066cfb29ba8c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/mt_TRACMIP_MetUM-ENT.txt
@@ -0,0 +1,160 @@
+! This table may contain information that has to be provided with the data files in order to use the CDO cmor operator.
+! E.g. if your data are GRIB formatted the information is needed which code number corresponds to the short name
+! required to be given to a requested variable. The keyword has to be 'code'.
+! The table format:
+! Each line has to start with &!parameter '
+! Each line has to end with ' /' (Note the blank!)
+! The keyword-assignments may appear at any place
+! There must be at least 1 space between assignments
+! Any keyword-value may be written with double-quotes
+! If a keyword-values contains spaces, it must be delimited by double-quotes
+! Keywords interpreted by cdo cmor,... are :
+!
+!Entry Type Description
+!----------------------------------------------------------------------------------------
+!name WORD Name of the variable
+!cmor_name/cn WORD CMIP/CMOR variable name (CV)
+! Note: This is the name that has to be passed to the CMOR functions.
+! It is not necessarily the variable name in the NetCDF output file
+! nor the 1st DRS element of the file name. Short form: 'cn'
+!param WORD Parameter identifier (GRIB1: code[.tabnum]; GRIB2: num[.cat[.dis]])
+!units STRING units of the variable
+!comment STRING Information concerning the variable
+!cell_methods STRING Information concerning the time:cell_methods
+!
+! Other keywords may be interpreted by other cdo-operators or tools
+!
+! ECHAM61 mapping table for TRACMIP for
+!
+!! Amon
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Amon /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Amon /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Amon /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Amon /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Amon /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Amon /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Amon /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Amon /
+!! day
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=hur cmor_name=hur units="%" cell_methods="m" project_mip_table=Aday /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="m" project_mip_table=Aday /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=Aday /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=Aday /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=ta cmor_name=ta units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tas cmor_name=tas units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=Aday /
+¶meter name=ts cmor_name=ts units="K" cell_methods="m" project_mip_table=Aday /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=va cmor_name=va units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="m" project_mip_table=Aday /
+¶meter name=zg cmor_name=zg units="m" cell_methods="m" project_mip_table=Aday /
+!! 3hr
+¶meter name=cl cmor_name=cl units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=cli cmor_name=cli units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clivi cmor_name=clivi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clt cmor_name=clt units="%" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clw cmor_name=clw units="kg/kg" cell_methods="m" project_mip_table=A3hr /
+¶meter name=clwvi cmor_name=clwvi units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=evspsbl cmor_name=evspsbl units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfls cmor_name=hfls p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hfss cmor_name=hfss p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=hur cmor_name=hur units="%" cell_methods="p" project_mip_table=A3hr /
+¶meter name=hus cmor_name=hus units="kg/kg" cell_methods="p" project_mip_table=A3hr /
+¶meter name=pr cmor_name=pr units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prc cmor_name=prc units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prsn cmor_name=prsn units="kg m-2 s-1" cell_methods="m" project_mip_table=A3hr /
+¶meter name=prw cmor_name=prw units="kg m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ps cmor_name=ps units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=psl cmor_name=psl units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlds cmor_name=rlds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rldscs cmor_name=rldscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlus cmor_name=rlus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlut cmor_name=rlut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rlutcs cmor_name=rlutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsds cmor_name=rsds p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdscs cmor_name=rsdscs p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsdt cmor_name=rsdt p="d" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsus cmor_name=rsus p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsuscs cmor_name=rsuscs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsut cmor_name=rsut p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=rsutcs cmor_name=rsutcs p="u" units="W m-2" cell_methods="m" project_mip_table=A3hr /
+¶meter name=sfcWind cmor_name=sfcWind units="m/s" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ta cmor_name=ta units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tas cmor_name=tas units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=tasmax cmor_name=tasmax units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tasmin cmor_name=tasmin units="K" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauu cmor_name=tauu p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=tauv cmor_name=tauv p="d" units="Pa" cell_methods="m" project_mip_table=A3hr /
+¶meter name=ts cmor_name=ts units="K" cell_methods="p" project_mip_table=A3hr /
+¶meter name=ua cmor_name=ua units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=uas cmor_name=uas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=va cmor_name=va units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=vas cmor_name=vas units="m/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=wap cmor_name=wap units="Pa/s" cell_methods="p" project_mip_table=A3hr /
+¶meter name=zg cmor_name=zg units="m" cell_methods="p" project_mip_table=A3hr /
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/otherinfo_MetUM-ENT.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/otherinfo_MetUM-ENT.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1c30e969e6fb2451dbfe3f904eebdfa190707267
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/MetUM-ENT/otherinfo_MetUM-ENT.txt
@@ -0,0 +1,42 @@
+Hi Aiko,
+
+I attach my attempt at these files for MetUM. Perhaps it’s just luck, but I didn’t have to make any changes to the translation table from the one that you supplied for ECHAM. I verified all of the variables, sign conventions and units, but it appears that our models are similar in these respects. All of the netCDF files that I uploaded to the Miami server already contain the cmor variable names, so you should not need to change any variable names.
+
+The translation table should be the identical for MetUM-ENT as for MetUM-CTL, since it’s the same model.
+
+All variables are available for our models.
+
+The fields are already interpolated on to pressure levels.
+
+Start dates and end dates:
+
+AquaControl: 0001-01-01 to 0045-12-30
+Amon: 0016-01-01 to 0045-12-30
+Aday: 0036-01-01 to 0045-12-30
+A3hr: 0043-01-01 to 0045-12-30
+
+Aqua4xCO2: 0046-01-01 to 0085-12-30
+Amon: 0046-01-01 to 0085-12-30
+Aday: 0076-01-01 to 0085-12-30
+A3hr: 0083-01-01 to 0085-12-30
+
+LandControl: 0046-01-01 to 0085-12-30
+Amon: 0046-01-01 to 0085-12-30
+Aday: 0076-01-01 to 0085-12-30
+A3hr: 0083-01-01 to 0085-12-30
+
+Land4xCO2: 0086-01-01 to 0125-12-30
+Amon: 0086-01-01 to 0125-12-30
+Aday: 0116-01-01 to 0125-12-30
+A3hr: 0123-01-01 to 0125-12-30
+
+
+LandOrbit: 0086-01-01 to 0125-12-30
+Amon: 0086-01-01 to 0125-12-30
+Aday: 0116-01-01 to 0125-12-30
+A3hr: 0123-01-01 to 0125-12-30
+
+Please let me know if there are any errors or inconsistencies, and I will try to fix them.
+
+Kind regards,
+Nick
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/README_cdocmor b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/README_cdocmor
new file mode 100644
index 0000000000000000000000000000000000000000..658f88fbd67cce6fd985d5695e028b132017c26e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/README_cdocmor
@@ -0,0 +1,14 @@
+cdo with cmor2 enabled on mistral:
+
+/work/bm0021/cdo_incl_cmor/cdo_08_30_2017_cmor2/cdo_gitcmor3branch/src/cdo
+
+call with cdo cmor, cod -h cmor for some limited help
+
+for cmip5 tables, see:
+/work/bm0021/cdo_incl_cmor/examples
+
+
+# CAM4 remapping of vertical grid
+cdo -P 16 ml2plx,100000,92500,85000,70000,60000,50000,40000,30000,20000,10000 -chname,PS,aps -selvar,U,PS -seltimestep,1 AquaControl.monthly.nc temp.nc
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr
new file mode 100644
index 0000000000000000000000000000000000000000..973dc670ce5438d86854503c2ae9ff8cf1f476eb
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr
@@ -0,0 +1,1945 @@
+! adapted for TRACMIP by Aiko Voigt from CMIP5_Amon
+table_id: Table A3hr
+modeling_realm: atmos
+
+frequency: 3hr
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: TRACMIP ! project id
+table_date: 11 September 2017 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: https://www.sites.google.com/site/tracmip/ ! http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: CTRL CO2 Orbit ! Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: 'aqua planet control of TRACMIP' 'aquaControlTRACMIP'
+expt_id_ok: 'aqua planet 4xco2 of TRACMIP' 'aqua4xCO2TRACMIP'
+expt_id_ok: 'idealized continent control of TRACMIP' 'landControlTRACMIP'
+expt_id_ok: 'idealized continent 4xco2 of TRACMIP' 'land4xCO2TRACMIP'
+expt_id_ok: 'idealized continent with orbital change of TRACMIP' 'landOrbitTRACMIP'
+
+! for CALTECH model: simulations with changed longwave optical thickness
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 0.7' 'aquaAbs07TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 1.5' 'aquaAbs15TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 2.0' 'aquaAbs20TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 0.7' 'landAbs07TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 1.5' 'landAbs15TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 2.0' 'landAbs20TRACMIP'
+
+approx_interval: 0.12500000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+! time info for time-averaged data
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+! time info for snaphot data
+!============
+axis_entry: time1
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+!valid_min: -700
+!valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: tas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Near-Surface Air Temperature
+comment: This is sampled synoptically.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height2m
+out_name: tas
+type: real
+!valid_min: 180.6
+!valid_max: 335.1
+!ok_min_mean_abs: 262.4
+!ok_max_mean_abs: 293
+!----------------------------------
+!
+
+!============
+variable_entry: ts
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean). This is sampled synoptically.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: ts
+type: real
+!valid_min: 176.8
+!valid_max: 339.6
+!ok_min_mean_abs: 262.8
+!ok_max_mean_abs: 293.3
+!----------------------------------
+!
+
+!============
+variable_entry: tasmin
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: minimum
+cell_measures: area: areacella
+long_name: Minimum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmin
+type: real
+!valid_min: 182.8
+!valid_max: 323
+!ok_min_mean_abs: 260.9
+!ok_max_mean_abs: 290.6
+!----------------------------------
+!
+
+!============
+variable_entry: tasmax
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: maximum
+cell_measures: area: areacella
+long_name: Maximum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmax
+type: real
+!valid_min: 181.9
+!valid_max: 341.9
+!ok_min_mean_abs: 264.9
+!ok_max_mean_abs: 294
+!----------------------------------
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: not, in general, the same as surface pressure. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: psl
+type: real
+!valid_min: 9.122e+04
+!valid_max: 1.137e+05
+!ok_min_mean_abs: 9.57e+04
+!ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ps
+type: real
+!valid_min: 4.791e+04
+!valid_max: 1.119e+05
+!ok_min_mean_abs: 9.165e+04
+!ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: uas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Eastward Near-Surface Wind
+comment: This is a 3-hourly snapshot.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height10m
+out_name: uas
+type: real
+!valid_min: -19.01
+!valid_max: 18.68
+!ok_min_mean_abs: 1.668
+!ok_max_mean_abs: 4.106
+!----------------------------------
+!
+
+!============
+variable_entry: vas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Northward Near-Surface Wind
+comment: This is a 3-hourly snapshot.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height10m
+out_name: vas
+type: real
+!valid_min: -18.04
+!valid_max: 22.84
+!ok_min_mean_abs: 1.065
+!ok_max_mean_abs: 2.678
+!----------------------------------
+!
+
+!============
+variable_entry: sfcWind
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: wind_speed
+units: m s-1
+cell_methods: time: mean
+long_name: Near-Surface Wind Speed
+comment: This is the mean of the speed, not the speed computed from the mean u and v components of wind. This is the mean over the 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: sfcWind
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hurs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C. This is the mean over the 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: hurs
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: huss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Specific Humidity. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: huss
+type: real
+!valid_min: -7.21e-06
+!valid_max: 0.02992
+!ok_min_mean_abs: 0.006391
+!ok_max_mean_abs: 0.008749
+!----------------------------------
+!
+
+
+!============
+variable_entry: pr
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective). Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pr
+type: real
+!valid_min: 0
+!valid_max: 0.001254
+!ok_min_mean_abs: 2.156e-05
+!ok_max_mean_abs: 3.215e-05
+!----------------------------------
+!
+
+!============
+variable_entry: prsn
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: snowfall_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Snowfall Flux
+comment: at surface; includes precipitation of all forms of water in the solid phase. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prsn
+type: real
+!valid_min: 0
+!valid_max: 0.0002987
+!ok_min_mean_abs: 1.449e-06
+!ok_max_mean_abs: 6.11e-06
+!----------------------------------
+!
+
+!============
+variable_entry: prc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convective_precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Precipitation
+comment: at surface; includes both liquid and solid phases. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prc
+type: real
+!valid_min: 0
+!valid_max: 0.0006323
+!ok_min_mean_abs: -2.528e-06
+!ok_max_mean_abs: 3.209e-05
+!----------------------------------
+!
+
+!============
+variable_entry: evspsbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: water_evaporation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Evaporation
+comment: at surface; flux of water into the atmosphere due to conversion of both liquid and solid phases to vapor (from underlying surface and vegetation). Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: evspsbl
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_snow_and_ice_sublimation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Snow and Ice Sublimation Flux
+comment: The snow and ice sublimation flux is the loss of snow and ice mass from the surface resulting from their conversion to water vapor that enters the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sbl
+type: real
+!valid_min: -0.004959
+!valid_max: 0.0009936
+!ok_min_mean_abs: -5.521e-05
+!ok_max_mean_abs: 9.61e-05
+!----------------------------------
+!
+
+!============
+variable_entry: tauu
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_eastward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Eastward Wind Stress
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauu
+type: real
+positive: down
+!valid_min: -2.729
+!valid_max: 2.934
+!ok_min_mean_abs: 0.03979
+!ok_max_mean_abs: 0.1065
+!----------------------------------
+!
+
+!============
+variable_entry: tauv
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_northward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Northward Wind Stress
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauv
+type: real
+positive: down
+!valid_min: -2.472
+!valid_max: 2.527
+!ok_min_mean_abs: 0.01447
+!ok_max_mean_abs: 0.08134
+!----------------------------------
+!
+
+!============
+variable_entry: hfls
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_latent_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Latent Heat Flux
+comment: includes both evaporation and sublimation. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfls
+type: real
+positive: up
+!valid_min: -76.77
+!valid_max: 790.7
+!ok_min_mean_abs: 50.39
+!ok_max_mean_abs: 73.2
+!----------------------------------
+!
+
+!============
+variable_entry: hfss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_sensible_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Sensible Heat Flux
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfss
+type: real
+positive: up
+!valid_min: -264.5
+!valid_max: 844.8
+!ok_min_mean_abs: 10.7
+!ok_max_mean_abs: 34.84
+!----------------------------------
+!
+
+!============
+variable_entry: rlds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlds
+type: real
+positive: down
+!valid_min: 30.71
+!valid_max: 520.5
+!ok_min_mean_abs: 271.2
+!ok_max_mean_abs: 323.6
+!----------------------------------
+!
+
+!============
+variable_entry: rlus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlus
+type: real
+positive: up
+!valid_min: 43.75
+!valid_max: 658
+!ok_min_mean_abs: 325.6
+!ok_max_mean_abs: 376.3
+!----------------------------------
+!
+
+!============
+variable_entry: rsds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsds
+type: real
+positive: down
+!valid_min: -0.002946
+!valid_max: 524.4
+!ok_min_mean_abs: 143.9
+!ok_max_mean_abs: 181.6
+!----------------------------------
+!
+
+!============
+variable_entry: rsus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsus
+type: real
+positive: up
+!valid_min: -0.006589
+!valid_max: 422.2
+!ok_min_mean_abs: 26.22
+!ok_max_mean_abs: 43.77
+!----------------------------------
+!
+
+!============
+variable_entry: rsdscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdscs
+type: real
+positive: down
+!valid_min: -1.748e+30
+!valid_max: 522.4
+!ok_min_mean_abs: 206.9
+!ok_max_mean_abs: 239
+!----------------------------------
+!
+
+!============
+variable_entry: rsuscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsuscs
+type: real
+positive: up
+!valid_min: -0.01446
+!valid_max: 462.2
+!ok_min_mean_abs: 31.65
+!ok_max_mean_abs: 61.59
+!----------------------------------
+!
+
+!============
+variable_entry: rldscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rldscs
+type: real
+positive: down
+!valid_min: 33.55
+!valid_max: 543.6
+!ok_min_mean_abs: 238.6
+!ok_max_mean_abs: 293.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsdt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_incoming_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Incident Shortwave Radiation
+comment: at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdt
+type: real
+positive: down
+!valid_min: 0
+!valid_max: 580.4
+!ok_min_mean_abs: 282.6
+!ok_max_mean_abs: 315.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Shortwave Radiation
+comment: at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsut
+type: real
+positive: up
+!valid_min: -0.02689
+!valid_max: 421.9
+!ok_min_mean_abs: 96.72
+!ok_max_mean_abs: 114.1
+!----------------------------------
+!
+
+!============
+variable_entry: rlut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Longwave Radiation
+comment: at the top of the atmosphere (to be compared with satellite measurements.) Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlut
+type: real
+positive: up
+!valid_min: 67.48
+!valid_max: 383.2
+!ok_min_mean_abs: 207.4
+!ok_max_mean_abs: 234.4
+!----------------------------------
+!
+
+!============
+variable_entry: rlutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlutcs
+type: real
+positive: up
+!valid_min: 70.59
+!valid_max: 377.5
+!ok_min_mean_abs: 228.9
+!ok_max_mean_abs: 260.4
+!----------------------------------
+!
+
+!============
+variable_entry: rsutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsutcs
+type: real
+positive: up
+!valid_min: 0
+!valid_max: 444
+!ok_min_mean_abs: 54.7
+!ok_max_mean_abs: 73.36
+!----------------------------------
+!
+
+!============
+variable_entry: prw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_water_vapor_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Water Vapor Path
+comment: vertically integrated through the atmospheric column. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prw
+type: real
+!valid_min: -0.0006775
+!valid_max: 78.04
+!ok_min_mean_abs: 12.75
+!ok_max_mean_abs: 23.09
+!----------------------------------
+!
+
+!============
+variable_entry: clt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Total Cloud Fraction
+comment: for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clt
+type: real
+!valid_min: -0.0001822
+!valid_max: 105
+!ok_min_mean_abs: 39.37
+!ok_max_mean_abs: 84.98
+!----------------------------------
+!
+
+!============
+variable_entry: clwvi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_condensed_water_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Condensed Water Path
+comment: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clwvi
+type: real
+!valid_min: -3.827e-06
+!valid_max: 3.364
+!ok_min_mean_abs: -0.03549
+!ok_max_mean_abs: 0.2846
+!----------------------------------
+!
+
+!============
+variable_entry: clivi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_ice_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Ice Water Path
+comment: mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clivi
+type: real
+!valid_min: -1.872e-06
+!valid_max: 1.535
+!ok_min_mean_abs: -0.0348
+!ok_max_mean_abs: 0.1187
+!----------------------------------
+!
+
+!============
+variable_entry: rtmt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: net_downward_radiative_flux_at_top_of_atmosphere_model
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Net Downward Flux at Top of Model
+comment: i.e., at the top of that portion of the atmosphere where dynamics are explicitly treated by the model. This is reported only if it differs from the net downward radiative flux at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rtmt
+type: real
+positive: down
+!valid_min: -232.8
+!valid_max: 218.7
+!ok_min_mean_abs: 76.91
+!ok_max_mean_abs: 89.25
+!----------------------------------
+!
+
+!============
+variable_entry: ccb
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_base
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Base
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ccb
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cct
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_top
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Top
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: cct
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Convection Occurs
+comment: Fraction of time that convection occurs in the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: shallow_convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Shallow Convection Occurs
+comment: Fraction of time that shallow convection occurs in the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction_in_atmosphere_layer
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Cloud Area Fraction
+comment: Includes both large-scale and convective cloud. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cl
+type: real
+!valid_min: 0
+!valid_max: 105
+!ok_min_mean_abs: -0.04479
+!ok_max_mean_abs: 26.07
+!----------------------------------
+!
+
+!============
+variable_entry: clw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_liquid_water_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Liquid Water
+comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: clw
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cli
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_ice_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Ice
+comment: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cli
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: mc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_net_upward_convective_mass_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Mass Flux
+comment: The net mass flux should represent the difference between the updraft and downdraft components. The flux is computed as the mass divided by the area of the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time
+out_name: mc
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Air Temperature
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ta
+type: real
+!valid_min: 157.1
+!valid_max: 336.3
+!ok_min_mean_abs: 194.3
+!ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Eastward Wind
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ua
+type: real
+!valid_min: -68.65
+!valid_max: 136.6
+!ok_min_mean_abs: 1.101
+!ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Northward Wind
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: va
+type: real
+!valid_min: -71.1
+!valid_max: 69.93
+!ok_min_mean_abs: 0.9886
+!ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Specific Humidity
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: hus
+type: real
+!valid_min: -0.000299
+!valid_max: 0.02841
+!ok_min_mean_abs: -0.0003539
+!ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
+!============
+variable_entry: hur
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C. 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: hur
+type: real
+!valid_min: -2.642
+!valid_max: 135.7
+!ok_min_mean_abs: -10.31
+!ok_max_mean_abs: 97
+!----------------------------------
+!
+
+!============
+variable_entry: wap
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: lagrangian_tendency_of_air_pressure
+units: Pa s-1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: omega (=dp/dt)
+comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down). 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: wap
+type: real
+!valid_min: -1.126
+!valid_max: 2.319
+!ok_min_mean_abs: -0.005083
+!ok_max_mean_abs: 0.04256
+!----------------------------------
+!
+
+!============
+variable_entry: zg
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: geopotential_height
+units: m
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Geopotential Height
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: zg
+type: real
+!valid_min: -719.7
+!valid_max: 3.437e+04
+!ok_min_mean_abs: -113.4
+!ok_max_mean_abs: 3.299e+04
+!----------------------------------
+!
+
+!============
+variable_entry: pfull
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time2
+out_name: pfull
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: phalf
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Half-Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time2
+out_name: phalf
+type: real
+!----------------------------------
+!
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr_GISS-ModelE2 b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr_GISS-ModelE2
new file mode 100644
index 0000000000000000000000000000000000000000..bc2a5110dab1567e5f3c012cdefc5ddbd8b88a02
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A3hr_GISS-ModelE2
@@ -0,0 +1,1937 @@
+! adapted for TRACMIP by Aiko Voigt from CMIP5_Amon
+table_id: Table A3hr
+modeling_realm: atmos
+
+frequency: 3hr
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: TRACMIP ! project id
+table_date: 11 September 2017 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: https://www.sites.google.com/site/tracmip/ ! http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: CTRL CO2 Orbit ! Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: 'aqua planet control of TRACMIP' 'aquaControlTRACMIP'
+expt_id_ok: 'aqua planet 4xco2 of TRACMIP' 'aqua4xCO2TRACMIP'
+expt_id_ok: 'idealized continent control of TRACMIP' 'landControlTRACMIP'
+expt_id_ok: 'idealized continent 4xco2 of TRACMIP' 'land4xCO2TRACMIP'
+expt_id_ok: 'idealized continent with orbital change of TRACMIP' 'landOrbitTRACMIP'
+
+approx_interval: 0.1250000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+! time info for time-averaged data
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+! time info for snaphot data
+!============
+axis_entry: time1
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+!valid_min: -700
+!valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: tas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Near-Surface Air Temperature
+comment: This is sampled synoptically.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height2m
+out_name: tas
+type: real
+!valid_min: 180.6
+!valid_max: 335.1
+!ok_min_mean_abs: 262.4
+!ok_max_mean_abs: 293
+!----------------------------------
+!
+
+!============
+variable_entry: ts
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean). This is sampled synoptically.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: ts
+type: real
+!valid_min: 176.8
+!valid_max: 339.6
+!ok_min_mean_abs: 262.8
+!ok_max_mean_abs: 293.3
+!----------------------------------
+!
+
+!============
+variable_entry: tasmin
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: minimum
+cell_measures: area: areacella
+long_name: Minimum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmin
+type: real
+!valid_min: 182.8
+!valid_max: 323
+!ok_min_mean_abs: 260.9
+!ok_max_mean_abs: 290.6
+!----------------------------------
+!
+
+!============
+variable_entry: tasmax
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: maximum
+cell_measures: area: areacella
+long_name: Maximum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmax
+type: real
+!valid_min: 181.9
+!valid_max: 341.9
+!ok_min_mean_abs: 264.9
+!ok_max_mean_abs: 294
+!----------------------------------
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: psl
+type: real
+!valid_min: 9.122e+04
+!valid_max: 1.137e+05
+!ok_min_mean_abs: 9.57e+04
+!ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure. 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: ps
+type: real
+!valid_min: 4.791e+04
+!valid_max: 1.119e+05
+!ok_min_mean_abs: 9.165e+04
+!ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: uas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Eastward Near-Surface Wind
+comment: This is a 3-hourly snapshot.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height10m
+out_name: uas
+type: real
+!valid_min: -19.01
+!valid_max: 18.68
+!ok_min_mean_abs: 1.668
+!ok_max_mean_abs: 4.106
+!----------------------------------
+!
+
+!============
+variable_entry: vas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Northward Near-Surface Wind
+comment: This is a 3-hourly snapshot.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height10m
+out_name: vas
+type: real
+!valid_min: -18.04
+!valid_max: 22.84
+!ok_min_mean_abs: 1.065
+!ok_max_mean_abs: 2.678
+!----------------------------------
+!
+
+!============
+variable_entry: sfcWind
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: wind_speed
+units: m s-1
+cell_methods: time: mean
+long_name: Near-Surface Wind Speed
+comment: This is the mean of the speed, not the speed computed from the mean u and v components of wind. This is the mean over the 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: sfcWind
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hurs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C. This is the mean over the 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: hurs
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: huss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1 height2m
+out_name: huss
+type: real
+!valid_min: -7.21e-06
+!valid_max: 0.02992
+!ok_min_mean_abs: 0.006391
+!ok_max_mean_abs: 0.008749
+!----------------------------------
+!
+
+
+!============
+variable_entry: pr
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective). Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pr
+type: real
+!valid_min: 0
+!valid_max: 0.001254
+!ok_min_mean_abs: 2.156e-05
+!ok_max_mean_abs: 3.215e-05
+!----------------------------------
+!
+
+!============
+variable_entry: prsn
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: snowfall_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Snowfall Flux
+comment: at surface; includes precipitation of all forms of water in the solid phase. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prsn
+type: real
+!valid_min: 0
+!valid_max: 0.0002987
+!ok_min_mean_abs: 1.449e-06
+!ok_max_mean_abs: 6.11e-06
+!----------------------------------
+!
+
+!============
+variable_entry: prc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convective_precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Precipitation
+comment: at surface; includes both liquid and solid phases. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prc
+type: real
+!valid_min: 0
+!valid_max: 0.0006323
+!ok_min_mean_abs: -2.528e-06
+!ok_max_mean_abs: 3.209e-05
+!----------------------------------
+!
+
+!============
+variable_entry: evspsbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: water_evaporation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Evaporation
+comment: at surface; flux of water into the atmosphere due to conversion of both liquid and solid phases to vapor (from underlying surface and vegetation). Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: evspsbl
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_snow_and_ice_sublimation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Snow and Ice Sublimation Flux
+comment: The snow and ice sublimation flux is the loss of snow and ice mass from the surface resulting from their conversion to water vapor that enters the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sbl
+type: real
+!valid_min: -0.004959
+!valid_max: 0.0009936
+!ok_min_mean_abs: -5.521e-05
+!ok_max_mean_abs: 9.61e-05
+!----------------------------------
+!
+
+!============
+variable_entry: tauu
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_eastward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Eastward Wind Stress
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauu
+type: real
+positive: down
+!valid_min: -2.729
+!valid_max: 2.934
+!ok_min_mean_abs: 0.03979
+!ok_max_mean_abs: 0.1065
+!----------------------------------
+!
+
+!============
+variable_entry: tauv
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_northward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Northward Wind Stress
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauv
+type: real
+positive: down
+!valid_min: -2.472
+!valid_max: 2.527
+!ok_min_mean_abs: 0.01447
+!ok_max_mean_abs: 0.08134
+!----------------------------------
+!
+
+!============
+variable_entry: hfls
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_latent_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Latent Heat Flux
+comment: includes both evaporation and sublimation. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfls
+type: real
+positive: up
+!valid_min: -76.77
+!valid_max: 790.7
+!ok_min_mean_abs: 50.39
+!ok_max_mean_abs: 73.2
+!----------------------------------
+!
+
+!============
+variable_entry: hfss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_sensible_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Sensible Heat Flux
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfss
+type: real
+positive: up
+!valid_min: -264.5
+!valid_max: 844.8
+!ok_min_mean_abs: 10.7
+!ok_max_mean_abs: 34.84
+!----------------------------------
+!
+
+!============
+variable_entry: rlds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlds
+type: real
+positive: down
+!valid_min: 30.71
+!valid_max: 520.5
+!ok_min_mean_abs: 271.2
+!ok_max_mean_abs: 323.6
+!----------------------------------
+!
+
+!============
+variable_entry: rlus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlus
+type: real
+positive: up
+!valid_min: 43.75
+!valid_max: 658
+!ok_min_mean_abs: 325.6
+!ok_max_mean_abs: 376.3
+!----------------------------------
+!
+
+!============
+variable_entry: rsds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsds
+type: real
+positive: down
+!valid_min: -0.002946
+!valid_max: 524.4
+!ok_min_mean_abs: 143.9
+!ok_max_mean_abs: 181.6
+!----------------------------------
+!
+
+!============
+variable_entry: rsus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsus
+type: real
+positive: up
+!valid_min: -0.006589
+!valid_max: 422.2
+!ok_min_mean_abs: 26.22
+!ok_max_mean_abs: 43.77
+!----------------------------------
+!
+
+!============
+variable_entry: rsdscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdscs
+type: real
+positive: down
+!valid_min: -1.748e+30
+!valid_max: 522.4
+!ok_min_mean_abs: 206.9
+!ok_max_mean_abs: 239
+!----------------------------------
+!
+
+!============
+variable_entry: rsuscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsuscs
+type: real
+positive: up
+!valid_min: -0.01446
+!valid_max: 462.2
+!ok_min_mean_abs: 31.65
+!ok_max_mean_abs: 61.59
+!----------------------------------
+!
+
+!============
+variable_entry: rldscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rldscs
+type: real
+positive: down
+!valid_min: 33.55
+!valid_max: 543.6
+!ok_min_mean_abs: 238.6
+!ok_max_mean_abs: 293.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsdt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_incoming_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Incident Shortwave Radiation
+comment: at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdt
+type: real
+positive: down
+!valid_min: 0
+!valid_max: 580.4
+!ok_min_mean_abs: 282.6
+!ok_max_mean_abs: 315.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Shortwave Radiation
+comment: at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsut
+type: real
+positive: up
+!valid_min: -0.02689
+!valid_max: 421.9
+!ok_min_mean_abs: 96.72
+!ok_max_mean_abs: 114.1
+!----------------------------------
+!
+
+!============
+variable_entry: rlut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Longwave Radiation
+comment: at the top of the atmosphere (to be compared with satellite measurements.) Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlut
+type: real
+positive: up
+!valid_min: 67.48
+!valid_max: 383.2
+!ok_min_mean_abs: 207.4
+!ok_max_mean_abs: 234.4
+!----------------------------------
+!
+
+!============
+variable_entry: rlutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Longwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlutcs
+type: real
+positive: up
+!valid_min: 70.59
+!valid_max: 377.5
+!ok_min_mean_abs: 228.9
+!ok_max_mean_abs: 260.4
+!----------------------------------
+!
+
+!============
+variable_entry: rsutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Shortwave Radiation
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsutcs
+type: real
+positive: up
+!valid_min: 0
+!valid_max: 444
+!ok_min_mean_abs: 54.7
+!ok_max_mean_abs: 73.36
+!----------------------------------
+!
+
+!============
+variable_entry: prw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_water_vapor_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Water Vapor Path
+comment: vertically integrated through the atmospheric column. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prw
+type: real
+!valid_min: -0.0006775
+!valid_max: 78.04
+!ok_min_mean_abs: 12.75
+!ok_max_mean_abs: 23.09
+!----------------------------------
+!
+
+!============
+variable_entry: clt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Total Cloud Fraction
+comment: for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clt
+type: real
+!valid_min: -0.0001822
+!valid_max: 105
+!ok_min_mean_abs: 39.37
+!ok_max_mean_abs: 84.98
+!----------------------------------
+!
+
+!============
+variable_entry: clwvi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_condensed_water_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Condensed Water Path
+comment: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clwvi
+type: real
+!valid_min: -3.827e-06
+!valid_max: 3.364
+!ok_min_mean_abs: -0.03549
+!ok_max_mean_abs: 0.2846
+!----------------------------------
+!
+
+!============
+variable_entry: clivi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_ice_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Ice Water Path
+comment: mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clivi
+type: real
+!valid_min: -1.872e-06
+!valid_max: 1.535
+!ok_min_mean_abs: -0.0348
+!ok_max_mean_abs: 0.1187
+!----------------------------------
+!
+
+!============
+variable_entry: rtmt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: net_downward_radiative_flux_at_top_of_atmosphere_model
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Net Downward Flux at Top of Model
+comment: i.e., at the top of that portion of the atmosphere where dynamics are explicitly treated by the model. This is reported only if it differs from the net downward radiative flux at the top of the atmosphere. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rtmt
+type: real
+positive: down
+!valid_min: -232.8
+!valid_max: 218.7
+!ok_min_mean_abs: 76.91
+!ok_max_mean_abs: 89.25
+!----------------------------------
+!
+
+!============
+variable_entry: ccb
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_base
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Base
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ccb
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cct
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_top
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Top
+comment: Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: cct
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Convection Occurs
+comment: Fraction of time that convection occurs in the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: shallow_convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Shallow Convection Occurs
+comment: Fraction of time that shallow convection occurs in the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction_in_atmosphere_layer
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Cloud Area Fraction
+comment: Includes both large-scale and convective cloud. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cl
+type: real
+!valid_min: 0
+!valid_max: 105
+!ok_min_mean_abs: -0.04479
+!ok_max_mean_abs: 26.07
+!----------------------------------
+!
+
+!============
+variable_entry: clw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_liquid_water_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Liquid Water
+comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: clw
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cli
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_ice_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Ice
+comment: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cli
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: mc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_net_upward_convective_mass_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Mass Flux
+comment: The net mass flux should represent the difference between the updraft and downdraft components. The flux is computed as the mass divided by the area of the grid cell. Averaged over 3-hour period.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time
+out_name: mc
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Air Temperature
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ta
+type: real
+!valid_min: 157.1
+!valid_max: 336.3
+!ok_min_mean_abs: 194.3
+!ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Eastward Wind
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ua
+type: real
+!valid_min: -68.65
+!valid_max: 136.6
+!ok_min_mean_abs: 1.101
+!ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Northward Wind
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: va
+type: real
+!valid_min: -71.1
+!valid_max: 69.93
+!ok_min_mean_abs: 0.9886
+!ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Specific Humidity
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: hus
+type: real
+!valid_min: -0.000299
+!valid_max: 0.02841
+!ok_min_mean_abs: -0.0003539
+!ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
+!============
+variable_entry: hur
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C. 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: hur
+type: real
+!valid_min: -2.642
+!valid_max: 135.7
+!ok_min_mean_abs: -10.31
+!ok_max_mean_abs: 97
+!----------------------------------
+!
+
+!============
+variable_entry: wap
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: lagrangian_tendency_of_air_pressure
+units: Pa s-1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: omega (=dp/dt)
+comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down). 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: wap
+type: real
+!valid_min: -1.126
+!valid_max: 2.319
+!ok_min_mean_abs: -0.005083
+!ok_max_mean_abs: 0.04256
+!----------------------------------
+!
+
+!============
+variable_entry: zg
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: geopotential_height
+units: m
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Geopotential Height
+comment: 3-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: zg
+type: real
+!valid_min: -719.7
+!valid_max: 3.437e+04
+!ok_min_mean_abs: -113.4
+!ok_max_mean_abs: 3.299e+04
+!----------------------------------
+!
+
+!============
+variable_entry: pfull
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time2
+out_name: pfull
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: phalf
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Half-Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time2
+out_name: phalf
+type: real
+!----------------------------------
+!
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A6hr_forCAM5Nor_notused b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A6hr_forCAM5Nor_notused
new file mode 100644
index 0000000000000000000000000000000000000000..ce139b916a5b976b611fdbd91df60862fe7db912
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_A6hr_forCAM5Nor_notused
@@ -0,0 +1,729 @@
+! adapted for TRACMIP by Aiko Voigt from CMIP5_Amon
+table_id: Table A6hr
+modeling_realm: atmos
+
+frequency: 6hr
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: TRACMIP ! project id
+table_date: 08 January 2019 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: https://www.sites.google.com/site/tracmip/ ! http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: CTRL CO2 Orbit ! Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: 'aqua planet control of TRACMIP' 'aquaControlTRACMIP'
+expt_id_ok: 'aqua planet 4xco2 of TRACMIP' 'aqua4xCO2TRACMIP'
+expt_id_ok: 'idealized continent control of TRACMIP' 'landControlTRACMIP'
+expt_id_ok: 'idealized continent 4xco2 of TRACMIP' 'land4xCO2TRACMIP'
+expt_id_ok: 'idealized continent with orbital change of TRACMIP' 'landOrbitTRACMIP'
+
+approx_interval: 0.2500000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+! time info for time-averaged data
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+! time info for snaphot data
+!============
+axis_entry: time1
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+!valid_min: -700
+!valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: not, in general, the same as surface pressure. 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: psl
+type: real
+!valid_min: 9.122e+04
+!valid_max: 1.137e+05
+!ok_min_mean_abs: 9.57e+04
+!ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure. 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time1
+out_name: ps
+type: real
+!valid_min: 4.791e+04
+!valid_max: 1.119e+05
+!ok_min_mean_abs: 9.165e+04
+!ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Air Temperature
+comment: 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ta
+type: real
+!valid_min: 157.1
+!valid_max: 336.3
+!ok_min_mean_abs: 194.3
+!ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Eastward Wind
+comment: 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: ua
+type: real
+!valid_min: -68.65
+!valid_max: 136.6
+!ok_min_mean_abs: 1.101
+!ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: point
+long_name: Northward Wind
+comment: 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: va
+type: real
+!valid_min: -71.1
+!valid_max: 69.93
+!ok_min_mean_abs: 0.9886
+!ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: point
+cell_measures: area: areacella
+long_name: Specific Humidity
+comment: 6-hourly snapshots.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time1
+out_name: hus
+type: real
+!valid_min: -0.000299
+!valid_max: 0.02841
+!ok_min_mean_abs: -0.0003539
+!ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Aday b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Aday
new file mode 100644
index 0000000000000000000000000000000000000000..85dfa06ea04e0045e441271635e0355b04048566
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Aday
@@ -0,0 +1,1902 @@
+! adapted for TRACMIP by Aiko Voigt from CMIP5_Amon
+table_id: Table Aday
+modeling_realm: atmos
+
+frequency: day
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: TRACMIP ! project id
+table_date: 11 September 2017 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: https://www.sites.google.com/site/tracmip/ ! http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: CTRL CO2 Orbit ! Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: 'aqua planet control of TRACMIP' 'aquaControlTRACMIP'
+expt_id_ok: 'aqua planet 4xco2 of TRACMIP' 'aqua4xCO2TRACMIP'
+expt_id_ok: 'idealized continent control of TRACMIP' 'landControlTRACMIP'
+expt_id_ok: 'idealized continent 4xco2 of TRACMIP' 'land4xCO2TRACMIP'
+expt_id_ok: 'idealized continent with orbital change of TRACMIP' 'landOrbitTRACMIP'
+
+! for CALTECH model: simulations with changed longwave optical thickness
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 0.7' 'aquaAbs07TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 1.5' 'aquaAbs15TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 2.0' 'aquaAbs20TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 0.7' 'landAbs07TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 1.5' 'landAbs15TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 2.0' 'landAbs20TRACMIP'
+
+approx_interval: 1.000000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+!valid_min: -700
+!valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: tas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tas
+type: real
+!valid_min: 180.6
+!valid_max: 335.1
+!ok_min_mean_abs: 262.4
+!ok_max_mean_abs: 293
+!----------------------------------
+!
+
+!============
+variable_entry: ts
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ts
+type: real
+!valid_min: 176.8
+!valid_max: 339.6
+!ok_min_mean_abs: 262.8
+!ok_max_mean_abs: 293.3
+!----------------------------------
+!
+
+!============
+variable_entry: tasmin
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: minimum
+cell_measures: area: areacella
+long_name: Daily Minimum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmin
+type: real
+!valid_min: 182.8
+!valid_max: 323
+!ok_min_mean_abs: 260.9
+!ok_max_mean_abs: 290.6
+!----------------------------------
+!
+
+!============
+variable_entry: tasmax
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: maximum
+cell_measures: area: areacella
+long_name: Daily Maximum Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmax
+type: real
+!valid_min: 181.9
+!valid_max: 341.9
+!ok_min_mean_abs: 264.9
+!ok_max_mean_abs: 294
+!----------------------------------
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: not, in general, the same as surface pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: psl
+type: real
+!valid_min: 9.122e+04
+!valid_max: 1.137e+05
+!ok_min_mean_abs: 9.57e+04
+!ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ps
+type: real
+!valid_min: 4.791e+04
+!valid_max: 1.119e+05
+!ok_min_mean_abs: 9.165e+04
+!ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: uas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: uas
+type: real
+!valid_min: -19.01
+!valid_max: 18.68
+!ok_min_mean_abs: 1.668
+!ok_max_mean_abs: 4.106
+!----------------------------------
+!
+
+!============
+variable_entry: vas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: vas
+type: real
+!valid_min: -18.04
+!valid_max: 22.84
+!ok_min_mean_abs: 1.065
+!ok_max_mean_abs: 2.678
+!----------------------------------
+!
+
+!============
+variable_entry: sfcWind
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: wind_speed
+units: m s-1
+cell_methods: time: mean
+long_name: Near-Surface Wind Speed
+comment: This is the mean of the speed, not the speed computed from the mean u and v components of wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: sfcWind
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hurs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: hurs
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: huss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: huss
+type: real
+!valid_min: -7.21e-06
+!valid_max: 0.02992
+!ok_min_mean_abs: 0.006391
+!ok_max_mean_abs: 0.008749
+!----------------------------------
+!
+
+!============
+variable_entry: pr
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pr
+type: real
+!valid_min: 0
+!valid_max: 0.001254
+!ok_min_mean_abs: 2.156e-05
+!ok_max_mean_abs: 3.215e-05
+!----------------------------------
+!
+
+!============
+variable_entry: prsn
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: snowfall_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Snowfall Flux
+comment: at surface; includes precipitation of all forms of water in the solid phase
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prsn
+type: real
+!valid_min: 0
+!valid_max: 0.0002987
+!ok_min_mean_abs: 1.449e-06
+!ok_max_mean_abs: 6.11e-06
+!----------------------------------
+!
+
+!============
+variable_entry: prc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convective_precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Precipitation
+comment: at surface; includes both liquid and solid phases.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prc
+type: real
+!valid_min: 0
+!valid_max: 0.0006323
+!ok_min_mean_abs: -2.528e-06
+!ok_max_mean_abs: 3.209e-05
+!----------------------------------
+!
+
+!============
+variable_entry: evspsbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: water_evaporation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Evaporation
+comment: at surface; flux of water into the atmosphere due to conversion of both liquid and solid phases to vapor (from underlying surface and vegetation)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: evspsbl
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_snow_and_ice_sublimation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Snow and Ice Sublimation Flux
+comment: The snow and ice sublimation flux is the loss of snow and ice mass from the surface resulting from their conversion to water vapor that enters the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sbl
+type: real
+!valid_min: -0.004959
+!valid_max: 0.0009936
+!ok_min_mean_abs: -5.521e-05
+!ok_max_mean_abs: 9.61e-05
+!----------------------------------
+!
+
+!============
+variable_entry: tauu
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_eastward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Eastward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauu
+type: real
+positive: down
+!valid_min: -2.729
+!valid_max: 2.934
+!ok_min_mean_abs: 0.03979
+!ok_max_mean_abs: 0.1065
+!----------------------------------
+!
+
+!============
+variable_entry: tauv
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_northward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Northward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauv
+type: real
+positive: down
+!valid_min: -2.472
+!valid_max: 2.527
+!ok_min_mean_abs: 0.01447
+!ok_max_mean_abs: 0.08134
+!----------------------------------
+!
+
+!============
+variable_entry: hfls
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_latent_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Latent Heat Flux
+comment: includes both evaporation and sublimation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfls
+type: real
+positive: up
+!valid_min: -76.77
+!valid_max: 790.7
+!ok_min_mean_abs: 50.39
+!ok_max_mean_abs: 73.2
+!----------------------------------
+!
+
+!============
+variable_entry: hfss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_sensible_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Sensible Heat Flux
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfss
+type: real
+positive: up
+!valid_min: -264.5
+!valid_max: 844.8
+!ok_min_mean_abs: 10.7
+!ok_max_mean_abs: 34.84
+!----------------------------------
+!
+
+!============
+variable_entry: rlds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlds
+type: real
+positive: down
+!valid_min: 30.71
+!valid_max: 520.5
+!ok_min_mean_abs: 271.2
+!ok_max_mean_abs: 323.6
+!----------------------------------
+!
+
+!============
+variable_entry: rlus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlus
+type: real
+positive: up
+!valid_min: 43.75
+!valid_max: 658
+!ok_min_mean_abs: 325.6
+!ok_max_mean_abs: 376.3
+!----------------------------------
+!
+
+!============
+variable_entry: rsds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsds
+type: real
+positive: down
+!valid_min: -0.002946
+!valid_max: 524.4
+!ok_min_mean_abs: 143.9
+!ok_max_mean_abs: 181.6
+!----------------------------------
+!
+
+!============
+variable_entry: rsus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsus
+type: real
+positive: up
+!valid_min: -0.006589
+!valid_max: 422.2
+!ok_min_mean_abs: 26.22
+!ok_max_mean_abs: 43.77
+!----------------------------------
+!
+
+!============
+variable_entry: rsdscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdscs
+type: real
+positive: down
+!valid_min: -1.748e+30
+!valid_max: 522.4
+!ok_min_mean_abs: 206.9
+!ok_max_mean_abs: 239
+!----------------------------------
+!
+
+!============
+variable_entry: rsuscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsuscs
+type: real
+positive: up
+!valid_min: -0.01446
+!valid_max: 462.2
+!ok_min_mean_abs: 31.65
+!ok_max_mean_abs: 61.59
+!----------------------------------
+!
+
+!============
+variable_entry: rldscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rldscs
+type: real
+positive: down
+!valid_min: 33.55
+!valid_max: 543.6
+!ok_min_mean_abs: 238.6
+!ok_max_mean_abs: 293.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsdt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_incoming_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Incident Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdt
+type: real
+positive: down
+!valid_min: 0
+!valid_max: 580.4
+!ok_min_mean_abs: 282.6
+!ok_max_mean_abs: 315.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsut
+type: real
+positive: up
+!valid_min: -0.02689
+!valid_max: 421.9
+!ok_min_mean_abs: 96.72
+!ok_max_mean_abs: 114.1
+!----------------------------------
+!
+
+!============
+variable_entry: rlut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Longwave Radiation
+comment: at the top of the atmosphere (to be compared with satellite measurements)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlut
+type: real
+positive: up
+!valid_min: 67.48
+!valid_max: 383.2
+!ok_min_mean_abs: 207.4
+!ok_max_mean_abs: 234.4
+!----------------------------------
+!
+
+!============
+variable_entry: rlutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlutcs
+type: real
+positive: up
+!valid_min: 70.59
+!valid_max: 377.5
+!ok_min_mean_abs: 228.9
+!ok_max_mean_abs: 260.4
+!----------------------------------
+!
+
+!============
+variable_entry: rsutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsutcs
+type: real
+positive: up
+!valid_min: 0
+!valid_max: 444
+!ok_min_mean_abs: 54.7
+!ok_max_mean_abs: 73.36
+!----------------------------------
+!
+
+!============
+variable_entry: prw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_water_vapor_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Water Vapor Path
+comment: vertically integrated through the atmospheric column
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prw
+type: real
+!valid_min: -0.0006775
+!valid_max: 78.04
+!ok_min_mean_abs: 12.75
+!ok_max_mean_abs: 23.09
+!----------------------------------
+!
+
+!============
+variable_entry: clt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Total Cloud Fraction
+comment: for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clt
+type: real
+!valid_min: -0.0001822
+!valid_max: 105
+!ok_min_mean_abs: 39.37
+!ok_max_mean_abs: 84.98
+!----------------------------------
+!
+
+!============
+variable_entry: clwvi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_condensed_water_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Condensed Water Path
+comment: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clwvi
+type: real
+!valid_min: -3.827e-06
+!valid_max: 3.364
+!ok_min_mean_abs: -0.03549
+!ok_max_mean_abs: 0.2846
+!----------------------------------
+!
+
+!============
+variable_entry: clivi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_ice_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Ice Water Path
+comment: mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clivi
+type: real
+!valid_min: -1.872e-06
+!valid_max: 1.535
+!ok_min_mean_abs: -0.0348
+!ok_max_mean_abs: 0.1187
+!----------------------------------
+!
+
+!============
+variable_entry: rtmt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: net_downward_radiative_flux_at_top_of_atmosphere_model
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Net Downward Flux at Top of Model
+comment: i.e., at the top of that portion of the atmosphere where dynamics are explicitly treated by the model. This is reported only if it differs from the net downward radiative flux at the top of the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rtmt
+type: real
+positive: down
+!valid_min: -232.8
+!valid_max: 218.7
+!ok_min_mean_abs: 76.91
+!ok_max_mean_abs: 89.25
+!----------------------------------
+!
+
+!============
+variable_entry: ccb
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_base
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Base
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ccb
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cct
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_top
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Top
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: cct
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Convection Occurs
+comment: Fraction of time that convection occurs in the grid cell .
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: shallow_convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Shallow Convection Occurs
+comment: Fraction of time that shallow convection occurs in the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction_in_atmosphere_layer
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Cloud Area Fraction
+comment: Includes both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cl
+type: real
+!valid_min: 0
+!valid_max: 105
+!ok_min_mean_abs: -0.04479
+!ok_max_mean_abs: 26.07
+!----------------------------------
+!
+
+!============
+variable_entry: clw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_liquid_water_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Liquid Water
+comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: clw
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cli
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_ice_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Ice
+comment: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cli
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: mc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_net_upward_convective_mass_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Mass Flux
+comment: The net mass flux should represent the difference between the updraft and downdraft components. The flux is computed as the mass divided by the area of the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time
+out_name: mc
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ta
+type: real
+!valid_min: 157.1
+!valid_max: 336.3
+!ok_min_mean_abs: 194.3
+!ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ua
+type: real
+!valid_min: -68.65
+!valid_max: 136.6
+!ok_min_mean_abs: 1.101
+!ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: va
+type: real
+!valid_min: -71.1
+!valid_max: 69.93
+!ok_min_mean_abs: 0.9886
+!ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hus
+type: real
+!valid_min: -0.000299
+!valid_max: 0.02841
+!ok_min_mean_abs: -0.0003539
+!ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
+!============
+variable_entry: hur
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hur
+type: real
+!valid_min: -2.642
+!valid_max: 135.7
+!ok_min_mean_abs: -10.31
+!ok_max_mean_abs: 97
+!----------------------------------
+!
+
+!============
+variable_entry: wap
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: lagrangian_tendency_of_air_pressure
+units: Pa s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: omega (=dp/dt)
+comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: wap
+type: real
+!valid_min: -1.126
+!valid_max: 2.319
+!ok_min_mean_abs: -0.005083
+!ok_max_mean_abs: 0.04256
+!----------------------------------
+!
+
+!============
+variable_entry: zg
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: geopotential_height
+units: m
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Geopotential Height
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: zg
+type: real
+!valid_min: -719.7
+!valid_max: 3.437e+04
+!ok_min_mean_abs: -113.4
+!ok_max_mean_abs: 3.299e+04
+!----------------------------------
+!
+
+!============
+variable_entry: pfull
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time2
+out_name: pfull
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: phalf
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Half-Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time2
+out_name: phalf
+type: real
+!----------------------------------
+!
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Amon b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Amon
new file mode 100644
index 0000000000000000000000000000000000000000..31f0e2337a7a187e7116399c11e4dd56f3c87a12
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/TRACMIP_Amon
@@ -0,0 +1,1904 @@
+! adapted for TRACMIP by Aiko Voigt from CMIP5_Amon
+table_id: Table Amon
+modeling_realm: atmos
+
+frequency: mon
+
+cmor_version: 2.6 ! minimum version of CMOR that can read this table
+cf_version: 1.4 ! version of CF that output conforms to
+project_id: TRACMIP ! project id
+table_date: 11 September 2017 ! date this table was constructed
+
+missing_value: 1.e20 ! value used to indicate a missing value
+ ! in arrays output by netCDF as 32-bit IEEE
+ ! floating-point numbers (float or real)
+
+baseURL: https://www.sites.google.com/site/tracmip/ ! http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation
+product: output
+
+required_global_attributes: creation_date tracking_id forcing model_id parent_experiment_id parent_experiment_rip branch_time contact institute_id ! space separated required global attribute
+
+forcings: CTRL CO2 Orbit ! Nat Ant GHG SD SI SA TO SO Oz LU Sl Vl SS Ds BC MD OC AA
+
+expt_id_ok: 'aqua planet control of TRACMIP' 'aquaControlTRACMIP'
+expt_id_ok: 'aqua planet 4xco2 of TRACMIP' 'aqua4xCO2TRACMIP'
+expt_id_ok: 'idealized continent control of TRACMIP' 'landControlTRACMIP'
+expt_id_ok: 'idealized continent 4xco2 of TRACMIP' 'land4xCO2TRACMIP'
+expt_id_ok: 'idealized continent with orbital change of TRACMIP' 'landOrbitTRACMIP'
+
+! for CALTECH model: simulations with changed longwave optical thickness
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 0.7' 'aquaAbs07TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 1.5' 'aquaAbs15TRACMIP'
+expt_id_ok: 'aqua planet of TRACMIP with longwave optical thickness scaled by 2.0' 'aquaAbs20TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 0.7' 'landAbs07TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 1.5' 'landAbs15TRACMIP'
+expt_id_ok: 'idealized continent of TRACMIP with longwave optical thickness scaled by 2.0' 'landAbs20TRACMIP'
+
+approx_interval: 30.000000 ! approximate spacing between successive time
+ ! samples (in units of the output time
+ ! coordinate.
+
+generic_levels: alevel alevhalf
+
+!============
+axis_entry: longitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: longitude
+units: degrees_east
+axis: X ! X, Y, Z, T (default: undeclared)
+long_name: longitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lon
+valid_min: 0.0
+valid_max: 360.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: latitude
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: latitude
+units: degrees_north
+axis: Y ! X, Y, Z, T (default: undeclared)
+long_name: latitude
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lat
+valid_min: -90.0
+valid_max: 90.0
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: plevs
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: down ! up or down (default: undeclared)
+long_name: pressure
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: plev
+stored_direction: decreasing
+tolerance: 0.001
+type: double
+requested: 100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. ! space-separated list of requested coordinates
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: time
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: time2
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: time
+units: days since ?
+axis: T ! X, Y, Z, T (default: undeclared)
+long_name: time
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: time
+stored_direction: increasing
+type: double
+must_have_bounds: yes
+climatology: yes
+!----------------------------------
+!
+
+
+!============
+axis_entry: height2m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 10.0
+stored_direction: increasing
+type: double
+value: 2. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+
+!============
+axis_entry: height10m
+!============
+!----------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: height
+units: m
+axis: Z ! X, Y, Z, T (default: undeclared)
+positive: up ! up or down (default: undeclared)
+long_name: height
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: height
+valid_min: 1.0
+valid_max: 30.0
+stored_direction: increasing
+type: double
+value: 10. ! of scalar (singleton) dimension
+must_have_bounds: no
+!----------------------------------
+!
+
+!============
+axis_entry: smooth_level
+!============
+!
+! This coordinate is a hybrid height coordinate with units of meters (m).
+! It increases upward.
+! The values of a(k)*ztop, which appear in the formula below, should be stored as smooth_level.
+! Note that in the netCDF file the variable will be named "lev", not smooth_level.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sleve_coordinate
+units: m
+axis: Z
+positive: up
+long_name: atmosphere smooth level vertical (SLEVE) coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: -200.
+valid_max: 800000.
+formula: z = a*ztop + b1*zsurf1 + b2*zsurf2
+z_factors: a: a b1: b1 b2: b2 ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+z_bounds_factors: a: a_bnds b1: b1_bnds b2: b2_bnds ztop: ztop zsurf1: zsurf1 zsurf2: zsurf2
+!----------------------------------
+!
+!============
+axis_entry: natural_log_pressure
+!============
+!
+!This coordinate is dimensionless and varies from near 0 at the surface and increases upward.
+! The values of lev(k), which appears in the formula below, should be stored as natural_log_pressure.
+! Note that in the netCDF file the variable will be named "lev", not natural_log_pressure.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_ln_pressure_coordinate
+axis: Z
+long_name: atmosphere natural log pressure coordinate
+positive: down
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: -1.
+valid_max: 20.
+formula: p = p0 * exp(-lev)
+z_factors: p0: p0 lev: lev
+z_bounds_factors: p0: p0 lev: lev_bnds
+!----------------------------------
+!
+!============
+axis_entry: standard_sigma
+!============
+!
+! This coordinate is dimensionless and varies from 0 at the model top to 1.0 at the surface.
+! The values of sigma(k), which appears in the formula below, should be stored as standard_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_sigma_coordinate
+axis: Z
+positive: down
+long_name: sigma coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ptop + sigma*(ps - ptop)
+z_factors: ptop: ptop sigma: lev ps: ps
+z_bounds_factors: ptop: ptop sigma: lev_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: standard_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of a+ b, which appear in the formula below, should be stored as standard_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not standard_hybrid_sigma.
+!
+!---------------------------------
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = a*p0 + b*ps
+z_factors: p0: p0 a: a b: b ps: ps
+z_bounds_factors: p0: p0 a: a_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: alternate_hybrid_sigma
+!============
+!
+! This coordinate is dimensionless and varies from a small value at the model top to 1.0 at the surface.
+! The values of ap/p0 + b, which appear in the formula below, should be stored as alternate_hybrid_sigma.
+! Note that in the netCDF file the variable will be named "lev", not alternate_hybrid_sigma.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_sigma_pressure_coordinate
+units: 1
+axis: Z
+positive: down
+long_name: hybrid sigma pressure coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: decreasing
+valid_min: 0.0
+valid_max: 1.0
+formula: p = ap + b*ps
+z_factors: ap: ap b: b ps: ps
+z_bounds_factors: ap: ap_bnds b: b_bnds ps: ps
+!----------------------------------
+!
+!
+!============
+axis_entry: hybrid_height
+!============
+!
+! This coordinate has dimension of meters (m) and increases upward.
+! The values of a which appear in the formula below, should be stored as hybrid_height.
+! Note that in the netCDF file the variable will be named "lev", not hybrid_height.
+!
+!------------
+!
+! Axis attributes:
+!----------------------------------
+standard_name: atmosphere_hybrid_height_coordinate
+units: m
+axis: Z
+positive: up
+long_name: hybrid height coordinate
+!----------------------------------
+!
+! Additional axis information:
+!----------------------------------
+out_name: lev
+must_have_bounds: yes
+stored_direction: increasing
+valid_min: 0.0
+formula: z = a + b*orog
+z_factors: a: lev b: b orog: orog
+z_bounds_factors: a: lev_bnds b: b_bnds orog: orog
+!----------------------------------
+!
+! ***************************************************************
+!
+! Vertical coordinate formula terms:
+!
+! ***************************************************************
+!
+!
+!============
+variable_entry: orog
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_altitude
+units: m
+long_name: Surface Altitude
+comment: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude
+out_name: orog
+type: real
+!valid_min: -700
+!valid_max: 1.00E+04
+!----------------------------------
+!
+!
+!============
+variable_entry: p0
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: reference pressure
+units: Pa
+!----------------------------------
+!
+!
+!============
+variable_entry: ptop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: pressure at top of model
+units: Pa
+!----------------------------------
+!
+!
+!
+!============
+variable_entry: a
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b
+!============
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: a_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: a(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: b_bnds
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: b(k+1/2)
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ap_bnds
+!============
+!
+! Variable attributes:
+!----------------------------------
+long_name: vertical coordinate formula term: ap(k+1/2)
+units: Pa
+!----------------------------------
+!
+! Additional variable information:
+!----------------------------------
+dimensions: alevel
+type: double
+!----------------------------------
+!
+!
+!============
+variable_entry: ztop
+!============
+!
+!------------
+!
+! Variable attributes:
+!----------------------------------
+long_name: height of top of model
+units: m
+!----------------------------------
+!
+!
+!
+
+!============
+variable_entry: tas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tas
+type: real
+!valid_min: 180.6
+!valid_max: 335.1
+!ok_min_mean_abs: 262.4
+!ok_max_mean_abs: 293
+!----------------------------------
+!
+
+!============
+variable_entry: ts
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Temperature
+comment: ""skin"" temperature (i.e., SST for open ocean)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ts
+type: real
+!valid_min: 176.8
+!valid_max: 339.6
+!ok_min_mean_abs: 262.8
+!ok_max_mean_abs: 293.3
+!----------------------------------
+!
+
+!============
+variable_entry: tasmin
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: minimum within days time: mean over days
+cell_measures: area: areacella
+long_name: Daily Minimum Near-Surface Air Temperature
+comment: monthly mean of the daily-minimum near-surface air temperature.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmin
+type: real
+!valid_min: 182.8
+!valid_max: 323
+!ok_min_mean_abs: 260.9
+!ok_max_mean_abs: 290.6
+!----------------------------------
+!
+
+!============
+variable_entry: tasmax
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: maximum within days time: mean over days
+cell_measures: area: areacella
+long_name: Daily Maximum Near-Surface Air Temperature
+comment: monthly mean of the daily-maximum near-surface air temperature.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: tasmax
+type: real
+!valid_min: 181.9
+!valid_max: 341.9
+!ok_min_mean_abs: 264.9
+!ok_max_mean_abs: 294
+!----------------------------------
+!
+
+!============
+variable_entry: psl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_sea_level
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Sea Level Pressure
+comment: not, in general, the same as surface pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: psl
+type: real
+!valid_min: 9.122e+04
+!valid_max: 1.137e+05
+!ok_min_mean_abs: 9.57e+04
+!ok_max_mean_abs: 1.063e+05
+!----------------------------------
+!
+
+!============
+variable_entry: ps
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_air_pressure
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Air Pressure
+comment: not, in general, the same as mean sea-level pressure
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ps
+type: real
+!valid_min: 4.791e+04
+!valid_max: 1.119e+05
+!ok_min_mean_abs: 9.165e+04
+!ok_max_mean_abs: 1.019e+05
+!----------------------------------
+!
+
+!============
+variable_entry: uas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: uas
+type: real
+!valid_min: -19.01
+!valid_max: 18.68
+!ok_min_mean_abs: 1.668
+!ok_max_mean_abs: 4.106
+!----------------------------------
+!
+
+!============
+variable_entry: vas
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Near-Surface Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: vas
+type: real
+!valid_min: -18.04
+!valid_max: 22.84
+!ok_min_mean_abs: 1.065
+!ok_max_mean_abs: 2.678
+!----------------------------------
+!
+
+!============
+variable_entry: sfcWind
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: wind_speed
+units: m s-1
+cell_methods: time: mean
+long_name: Near-Surface Wind Speed
+comment: This is the mean of the speed, not the speed computed from the mean u and v components of wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height10m
+out_name: sfcWind
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: hurs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: hurs
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: huss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Near-Surface Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time height2m
+out_name: huss
+type: real
+!valid_min: -7.21e-06
+!valid_max: 0.02992
+!ok_min_mean_abs: 0.006391
+!ok_max_mean_abs: 0.008749
+!----------------------------------
+!
+
+!============
+variable_entry: pr
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Precipitation
+comment: at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: pr
+type: real
+!valid_min: 0
+!valid_max: 0.001254
+!ok_min_mean_abs: 2.156e-05
+!ok_max_mean_abs: 3.215e-05
+!----------------------------------
+!
+
+!============
+variable_entry: prsn
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: snowfall_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Snowfall Flux
+comment: at surface; includes precipitation of all forms of water in the solid phase
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prsn
+type: real
+!valid_min: 0
+!valid_max: 0.0002987
+!ok_min_mean_abs: 1.449e-06
+!ok_max_mean_abs: 6.11e-06
+!----------------------------------
+!
+
+!============
+variable_entry: prc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convective_precipitation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Precipitation
+comment: at surface; includes both liquid and solid phases.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prc
+type: real
+!valid_min: 0
+!valid_max: 0.0006323
+!ok_min_mean_abs: -2.528e-06
+!ok_max_mean_abs: 3.209e-05
+!----------------------------------
+!
+
+!============
+variable_entry: evspsbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: water_evaporation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Evaporation
+comment: at surface; flux of water into the atmosphere due to conversion of both liquid and solid phases to vapor (from underlying surface and vegetation)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: evspsbl
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sbl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_snow_and_ice_sublimation_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Snow and Ice Sublimation Flux
+comment: The snow and ice sublimation flux is the loss of snow and ice mass from the surface resulting from their conversion to water vapor that enters the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sbl
+type: real
+!valid_min: -0.004959
+!valid_max: 0.0009936
+!ok_min_mean_abs: -5.521e-05
+!ok_max_mean_abs: 9.61e-05
+!----------------------------------
+!
+
+!============
+variable_entry: tauu
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_eastward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Eastward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauu
+type: real
+positive: down
+!valid_min: -2.729
+!valid_max: 2.934
+!ok_min_mean_abs: 0.03979
+!ok_max_mean_abs: 0.1065
+!----------------------------------
+!
+
+!============
+variable_entry: tauv
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downward_northward_stress
+units: Pa
+cell_methods: time: mean
+long_name: Surface Downward Northward Wind Stress
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: tauv
+type: real
+positive: down
+!valid_min: -2.472
+!valid_max: 2.527
+!ok_min_mean_abs: 0.01447
+!ok_max_mean_abs: 0.08134
+!----------------------------------
+!
+
+!============
+variable_entry: hfls
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_latent_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Latent Heat Flux
+comment: includes both evaporation and sublimation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfls
+type: real
+positive: up
+!valid_min: -76.77
+!valid_max: 790.7
+!ok_min_mean_abs: 50.39
+!ok_max_mean_abs: 73.2
+!----------------------------------
+!
+
+!============
+variable_entry: hfss
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upward_sensible_heat_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upward Sensible Heat Flux
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: hfss
+type: real
+positive: up
+!valid_min: -264.5
+!valid_max: 844.8
+!ok_min_mean_abs: 10.7
+!ok_max_mean_abs: 34.84
+!----------------------------------
+!
+
+!============
+variable_entry: rlds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlds
+type: real
+positive: down
+!valid_min: 30.71
+!valid_max: 520.5
+!ok_min_mean_abs: 271.2
+!ok_max_mean_abs: 323.6
+!----------------------------------
+!
+
+!============
+variable_entry: rlus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_longwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlus
+type: real
+positive: up
+!valid_min: 43.75
+!valid_max: 658
+!ok_min_mean_abs: 325.6
+!ok_max_mean_abs: 376.3
+!----------------------------------
+!
+
+!============
+variable_entry: rsds
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsds
+type: real
+positive: down
+!valid_min: -0.002946
+!valid_max: 524.4
+!ok_min_mean_abs: 143.9
+!ok_max_mean_abs: 181.6
+!----------------------------------
+!
+
+!============
+variable_entry: rsus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsus
+type: real
+positive: up
+!valid_min: -0.006589
+!valid_max: 422.2
+!ok_min_mean_abs: 26.22
+!ok_max_mean_abs: 43.77
+!----------------------------------
+!
+
+!============
+variable_entry: rsdscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdscs
+type: real
+positive: down
+!valid_min: -1.748e+30
+!valid_max: 522.4
+!ok_min_mean_abs: 206.9
+!ok_max_mean_abs: 239
+!----------------------------------
+!
+
+!============
+variable_entry: rsuscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Upwelling Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsuscs
+type: real
+positive: up
+!valid_min: -0.01446
+!valid_max: 462.2
+!ok_min_mean_abs: 31.65
+!ok_max_mean_abs: 61.59
+!----------------------------------
+!
+
+!============
+variable_entry: rldscs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Surface Downwelling Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rldscs
+type: real
+positive: down
+!valid_min: 33.55
+!valid_max: 543.6
+!ok_min_mean_abs: 238.6
+!ok_max_mean_abs: 293.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsdt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_incoming_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Incident Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsdt
+type: real
+positive: down
+!valid_min: 0
+!valid_max: 580.4
+!ok_min_mean_abs: 282.6
+!ok_max_mean_abs: 315.8
+!----------------------------------
+!
+
+!============
+variable_entry: rsut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Shortwave Radiation
+comment: at the top of the atmosphere
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsut
+type: real
+positive: up
+!valid_min: -0.02689
+!valid_max: 421.9
+!ok_min_mean_abs: 96.72
+!ok_max_mean_abs: 114.1
+!----------------------------------
+!
+
+!============
+variable_entry: rlut
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Longwave Radiation
+comment: at the top of the atmosphere (to be compared with satellite measurements)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlut
+type: real
+positive: up
+!valid_min: 67.48
+!valid_max: 383.2
+!ok_min_mean_abs: 207.4
+!ok_max_mean_abs: 234.4
+!----------------------------------
+!
+
+!============
+variable_entry: rlutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Longwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rlutcs
+type: real
+positive: up
+!valid_min: 70.59
+!valid_max: 377.5
+!ok_min_mean_abs: 228.9
+!ok_max_mean_abs: 260.4
+!----------------------------------
+!
+
+!============
+variable_entry: rsutcs
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: TOA Outgoing Clear-Sky Shortwave Radiation
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rsutcs
+type: real
+positive: up
+!valid_min: 0
+!valid_max: 444
+!ok_min_mean_abs: 54.7
+!ok_max_mean_abs: 73.36
+!----------------------------------
+!
+
+!============
+variable_entry: prw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_water_vapor_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Water Vapor Path
+comment: vertically integrated through the atmospheric column
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: prw
+type: real
+!valid_min: -0.0006775
+!valid_max: 78.04
+!ok_min_mean_abs: 12.75
+!ok_max_mean_abs: 23.09
+!----------------------------------
+!
+
+!============
+variable_entry: clt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Total Cloud Fraction
+comment: for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clt
+type: real
+!valid_min: -0.0001822
+!valid_max: 105
+!ok_min_mean_abs: 39.37
+!ok_max_mean_abs: 84.98
+!----------------------------------
+!
+
+!============
+variable_entry: clwvi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_condensed_water_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Condensed Water Path
+comment: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clwvi
+type: real
+!valid_min: -3.827e-06
+!valid_max: 3.364
+!ok_min_mean_abs: -0.03549
+!ok_max_mean_abs: 0.2846
+!----------------------------------
+!
+
+!============
+variable_entry: clivi
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_cloud_ice_content
+units: kg m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Ice Water Path
+comment: mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: clivi
+type: real
+!valid_min: -1.872e-06
+!valid_max: 1.535
+!ok_min_mean_abs: -0.0348
+!ok_max_mean_abs: 0.1187
+!----------------------------------
+!
+
+!============
+variable_entry: rtmt
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: net_downward_radiative_flux_at_top_of_atmosphere_model
+units: W m-2
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Net Downward Flux at Top of Model
+comment: i.e., at the top of that portion of the atmosphere where dynamics are explicitly treated by the model. This is reported only if it differs from the net downward radiative flux at the top of the atmosphere.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: rtmt
+type: real
+positive: down
+!valid_min: -232.8
+!valid_max: 218.7
+!ok_min_mean_abs: 76.91
+!ok_max_mean_abs: 89.25
+!----------------------------------
+!
+
+!============
+variable_entry: ccb
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_base
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Base
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ccb
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cct
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure_at_convective_cloud_top
+units: Pa
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Pressure at Convective Cloud Top
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: cct
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: ci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Convection Occurs
+comment: Fraction of time that convection occurs in the grid cell .
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: ci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: sci
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: shallow_convection_time_fraction
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Fraction of Time Shallow Convection Occurs
+comment: Fraction of time that shallow convection occurs in the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude time
+out_name: sci
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cl
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: cloud_area_fraction_in_atmosphere_layer
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Cloud Area Fraction
+comment: Includes both large-scale and convective cloud.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cl
+type: real
+!valid_min: 0
+!valid_max: 105
+!ok_min_mean_abs: -0.04479
+!ok_max_mean_abs: 26.07
+!----------------------------------
+!
+
+!============
+variable_entry: clw
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_liquid_water_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Liquid Water
+comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: clw
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: cli
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: mass_fraction_of_cloud_ice_in_air
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Mass Fraction of Cloud Ice
+comment: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time
+out_name: cli
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: mc
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: atmosphere_net_upward_convective_mass_flux
+units: kg m-2 s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Convective Mass Flux
+comment: The net mass flux should represent the difference between the updraft and downdraft components. The flux is computed as the mass divided by the area of the grid cell.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time
+out_name: mc
+type: real
+positive: up
+!----------------------------------
+!
+
+!============
+variable_entry: ta
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_temperature
+units: K
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Air Temperature
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ta
+type: real
+!valid_min: 157.1
+!valid_max: 336.3
+!ok_min_mean_abs: 194.3
+!ok_max_mean_abs: 299.8
+!----------------------------------
+!
+
+!============
+variable_entry: ua
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: eastward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Eastward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: ua
+type: real
+!valid_min: -68.65
+!valid_max: 136.6
+!ok_min_mean_abs: 1.101
+!ok_max_mean_abs: 22.42
+!----------------------------------
+!
+
+!============
+variable_entry: va
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: northward_wind
+units: m s-1
+cell_methods: time: mean
+long_name: Northward Wind
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: va
+type: real
+!valid_min: -71.1
+!valid_max: 69.93
+!ok_min_mean_abs: 0.9886
+!ok_max_mean_abs: 4.679
+!----------------------------------
+!
+
+!============
+variable_entry: hus
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: specific_humidity
+units: 1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Specific Humidity
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hus
+type: real
+!valid_min: -0.000299
+!valid_max: 0.02841
+!ok_min_mean_abs: -0.0003539
+!ok_max_mean_abs: 0.01041
+!----------------------------------
+!
+
+!============
+variable_entry: hur
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: relative_humidity
+units: %
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Relative Humidity
+comment: This is the relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: hur
+type: real
+!valid_min: -2.642
+!valid_max: 135.7
+!ok_min_mean_abs: -10.31
+!ok_max_mean_abs: 97
+!----------------------------------
+!
+
+!============
+variable_entry: wap
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: lagrangian_tendency_of_air_pressure
+units: Pa s-1
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: omega (=dp/dt)
+comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down)
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: wap
+type: real
+!valid_min: -1.126
+!valid_max: 2.319
+!ok_min_mean_abs: -0.005083
+!ok_max_mean_abs: 0.04256
+!----------------------------------
+!
+
+!============
+variable_entry: zg
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: geopotential_height
+units: m
+cell_methods: time: mean
+cell_measures: area: areacella
+long_name: Geopotential Height
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude plevs time
+out_name: zg
+type: real
+!valid_min: -719.7
+!valid_max: 3.437e+04
+!ok_min_mean_abs: -113.4
+!ok_max_mean_abs: 3.299e+04
+!----------------------------------
+!
+
+!============
+variable_entry: pfull
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevel time2
+out_name: pfull
+type: real
+!----------------------------------
+!
+
+!============
+variable_entry: phalf
+!============
+modeling_realm: atmos
+!----------------------------------
+! Variable attributes:
+!----------------------------------
+standard_name: air_pressure
+units: Pa
+cell_methods: time: mean within years time: mean over years
+cell_measures: area: areacella
+long_name: Pressure on Model Half-Levels
+!----------------------------------
+! Additional variable information:
+!----------------------------------
+dimensions: longitude latitude alevhalf time2
+out_name: phalf
+type: real
+!----------------------------------
+!
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/cdocmorinfoCMIP5 b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/cdocmorinfoCMIP5
new file mode 100644
index 0000000000000000000000000000000000000000..3ad34a951c25798b60e529b24fd3c0237c2603dc
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdocmor_input/cdocmorinfoCMIP5
@@ -0,0 +1,40 @@
+# experiment info:
+#
+# none of these can be set in the command line
+#
+EXPERIMENT_ID="amip"
+MEMBER=r1i1p1
+PROJECT_ID=CMIP5
+PRODUCT=output
+COMMENT=""
+HISTORY="Model raw output postprocessed with modelling environment (IMDI) at DKRZ: URL: :https://svn.dkrz.de/mad/Model/IMDI/trunk"
+PARENT_EXPERIMENT="N/A"
+PARENT_EXPERIMENT_RIP="N/A"
+PARENT_EXPERIMENT_ID="N/A"
+FORCING="GHG Oz SD Sl Vl LU"
+REQUIRED_TIME_UNITS="days since 1979-1-1 00:00:00"
+#BRANCH_TIMES=(00000000,00000000) #yyyymmdd
+
+#model info:
+#
+# only variable MAPPING_TABLE and model GRID_FILE can be set in the command line
+#
+MODEL_ID=MPI-ESM-LR
+REFERENCES="ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8;"
+SOURCE="MPI-ESM-LR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 5234), T63L47; land: JSBACH (REV: 5234) ;ocean: MPIOM (REV: $oce_src_revision), GR15L40; sea ice: $oce_src_revision; marine bgc: HAMOCC (REV: $oce_src_revision); MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127; HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;"
+CALENDAR=proleptic_gregorian
+#MAPPING_TABLE_DIR=/work/bm0021/$USER/cmor-support-trunk/cmor-projs/cmip5/tables/mapping-tables
+#MAPPING_TABLE=MPIESM1_CMIP5.txt
+#GRID_FILE_DIR=/work/bm0021/IMDI/trunk/experiments/input/model_grids diese Verzeichnisse gibt es (noch) nicht
+#GRID_FILE=ECHAM6_T63_grid.nc (zum Beispiel)
+CHAR_AXIS_VEGTYPE=glacier,tropical_broadleaf_evergreen_trees,tropical_broadleaf_deciduous_trees,extra-tropical_evergreen_trees,extra-tropical_deciduous_trees,raingreen_shrubs,deciduous_shrubs,C3grass,C4grass,C3_pasture,C4_pasture,C3crops,C4crops
+CHAR_AXIS_BASIN=global_ocean,atlantic_arctic_ocean,indian_pacific_ocean
+CHAR_AXIS_OLINE=barents_opening,bering_strait,canadian_archipelago,denmark_strait,drake_passage,english_channel,pacific_equatorial_undercurrent,faroe_scotland_channel,florida_bahamas_strait,fram_strait,iceland_faroe_channel,indonesian_throughflow,mozambique_channel,taiwan_luzon_straits,windward_passage
+# institution and contact info:
+#
+# none of these can be set in the command line
+#
+INSTITUTE_ID=MPI-M
+INSTITUTION="Max Planck Institute for Meteorology"
+CONTACT=cmip5-mpi-esm@dkrz.de
+MIP_TABLE_DIR=/work/bm0021/k204210/cmor-support-trunk/cmor-projs/cmip5/tables/cmip5-mip-tables/Tables
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_AM21.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_AM21.sh
new file mode 100755
index 0000000000000000000000000000000000000000..71861e2fccccbbd498315fc886a860b7cd7c8946
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_AM21.sh
@@ -0,0 +1,216 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_AM21.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_AM21.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_AM21.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note: no LandOrbit data
+# - daily and 8xdaily streams do not have all variables
+# - daily 2d fields have only 5 years of data (1800 time steps instead of 3600), nevertheless cmorized
+# - 8xdaily 2d fields have only 100 or 2000 timesteps, so not even a full year -> not cmorized (3d data has all timesteps and is cmorized)
+# - there is no land orbit data
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=AM2 # model name at UoMiami server
+MODELUOM2=AM2 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=AM21 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#############################
+# Amon Stream
+
+VARLIST_2D="tas ts psl uas vas sfcWind hurs pr prc evspsbl tauu tauv hfss rlds rlus rsds rsus rsdscs rsuscs rldscs rsdt rsut rlut rlutcs rsutcs prw clt clivi rtmt"
+VARLIST_3D="hur hus ta ua va wap zg cl cli clw"
+
+make_Amon=true
+if [ "x$make_Amon" == "xtrue" ] ; then
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+for STREAM in Amon; do
+
+ SETTAXIS="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0001-01-16,00:00:00,30day"
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0046-01-16,00:00:00,30day"
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0046-01-16,00:00:00,30day"
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0086-01-16,00:00:00,30day"
+ fi
+
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_month.${var}.fixed_dimensions.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+ for var in ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_month.${var}.fixed_dimensions.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_zaxisdes.txt -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+fi
+
+#############################
+# Aday Stream
+
+VARLIST_2D="ts psl pr prc evspsbl tauu tauv hfss rlds rlus rsds rsus rsdscs rsuscs rldscs rsdt rsut rlut rlutcs rsutcs clt"
+VARLIST_3D="hur hus ta ua va wap zg"
+
+make_Aday=true
+if [ "x$make_Aday" == "xtrue" ] ; then
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+for STREAM in Aday; do
+
+ SETTAXIS="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0036-01-01,12:00:00,1day"
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0116-01-01,12:00:00,1day"
+ fi
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_daily.${var}.fixed_dimensions.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+ for var in ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_daily.${var}.fixed_dimensions.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_zaxisdes.txt -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+fi
+
+#############################
+# A3hr Stream
+
+# 2d 3hourly data not cmorized due to lack of sufficient timesteps
+
+#VARLIST_2D="ts psl pr evspsbl hfss rlds rlus rsds rsus rsdscs rsuscs rldscs rsdt rsut rlut rlutcs rsutcs"
+VARLIST_3D="hur hus ta ua va wap zg"
+
+make_A3hr=true
+if [ "x$make_A3hr" == "xtrue" ] ; then
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+for STREAM in A3hr; do
+
+ SETTAXIS="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0043-01-01,01:30:00,3hour"
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0083-01-01,01:30:00,3hour"
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0083-01-01,01:30:00,3hour"
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ SETTAXIS="-setcalendar,360_day -settaxis,0123-01-01,01:30:00,3hour"
+ fi
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+# for var in ${VARLIST_2D}; do
+# echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+# rm -f ${MODELESGF}_tmpdir/tempfile.nc
+# INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_8xdaily.${var}.fixed_dimensions.nc
+# echo ${INFILE}
+# ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+# rm -f ${MODELESGF}_tmpdir/*
+# done
+
+ for var in ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_8xdaily.${var}.fixed_dimensions.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_zaxisdes.txt -setgrid,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/AM21/AM21_griddes.txt ${SETTAXIS} -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+fi
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH.sh
new file mode 100755
index 0000000000000000000000000000000000000000..3157ae0013b749d2b2e5b069dff0fdf765fd0388
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH.sh
@@ -0,0 +1,163 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bb1018
+#SBATCH --job-name=call_cdocmor_CALTECH.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CALTECH.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CALTECH.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CaltechGray # model name at UoMiami server
+MODELESGF=CALTECH # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=360_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_AquaAbs07=aquaAbs07TRACMIP
+EXPID2_AquaAbs15=aquaAbs15TRACMIP
+EXPID2_AquaAbs20=aquaAbs20TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_LandAbs07=landAbs07TRACMIP
+EXPID2_LandAbs15=landAbs15TRACMIP
+EXPID2_LandAbs20=landAbs20TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_AquaAbs07_Amon=0046
+YEARSTART_AquaAbs15_Amon=0046
+YEARSTART_AquaAbs20_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_LandAbs07_Amon=0086
+YEARSTART_LandAbs15_Amon=0086
+YEARSTART_LandAbs20_Amon=0086
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_AquaAbs07_Amon=0085
+YEAREND_AquaAbs15_Amon=0085
+YEAREND_AquaAbs20_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_LandAbs07_Amon=0125
+YEAREND_LandAbs15_Amon=0125
+YEAREND_LandAbs20_Amon=0125
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0016
+YEARSTART_AquaAbs07_Aday=0076
+YEARSTART_AquaAbs15_Aday=0046
+YEARSTART_AquaAbs20_Aday=0046
+YEARSTART_LandControl_Aday=0076
+YEARSTART_LandAbs07_Aday=0116
+YEARSTART_LandAbs15_Aday=0116
+YEARSTART_LandAbs20_Aday=0116
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_AquaAbs07_Aday=0085
+YEAREND_AquaAbs15_Aday=0085
+YEAREND_AquaAbs20_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_LandAbs07_Aday=0125
+YEAREND_LandAbs15_Aday=0125
+YEAREND_LandAbs20_Aday=0125
+YEAREND_LandOrbit_Aday=0125
+
+VARLIST2D="hfls hfss hurs huss pr prc prw ps psl rlds rlus rlut rsds rsdt rsus rsut sfcWind tas tauu tauv ts uas vas"
+VARLIST3D="hur hus ta ua va omega z_full"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#for EXPID1 in AquaControl; do
+#for EXPID1 in AquaAbs07 AquaAbs15 AquaAbs20 LandAbs07 LandAbs15 LandAbs20 LandOrbit; do
+for EXPID1 in LandAbs07; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/*.monthly.nc
+ cdo -s -settaxis,${!YEARSTART}-01-16,0:00,30d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/*.monthly.nc
+ cdo -s -settaxis,${!YEARSTART}-01-16,0:00,30d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'lev_p*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,lev_p,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/*.daily.nc
+ cdo -s -settaxis,${!YEARSTART}-01-01,12:00,1d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/*.daily.nc
+ cdo -s -settaxis,${!YEARSTART}-01-01,12:00,1d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'lev_p*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,lev_p,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH_landN.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH_landN.sh
new file mode 100755
index 0000000000000000000000000000000000000000..27de184daaf4aa6cf9cf7bfde564299af86495d8
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CALTECH_landN.sh
@@ -0,0 +1,125 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bb1018
+#SBATCH --job-name=call_cdocmor_CALTECH_landN.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CALTECH.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CALTECH.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CaltechGray # model name at UoMiami server
+MODELESGF=CALTECH # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=360_day
+
+EXPID2_LandControlN=landControlTRACMIP
+EXPID2_LandAbs07N=landAbs07TRACMIP
+EXPID2_LandAbs15N=landAbs15TRACMIP
+EXPID2_LandAbs20N=landAbs20TRACMIP
+EXPID2_LandOrbitN=landOrbitTRACMIP
+
+YEARSTART_LandControlN_Amon=0046
+YEARSTART_LandAbs07N_Amon=0086
+YEARSTART_LandAbs15N_Amon=0086
+YEARSTART_LandAbs20N_Amon=0086
+YEARSTART_LandOrbitN_Amon=0086
+
+YEARSTART_LandControlN_Aday=0076
+YEARSTART_LandAbs07N_Aday=0116
+YEARSTART_LandAbs15N_Aday=0116
+YEARSTART_LandAbs20N_Aday=0116
+YEARSTART_LandOrbitN_Aday=0116
+
+VARLIST2D="hfls hfss hurs huss pr prc prw ps psl rlds rlus rlut rsds rsdt rsus rsut sfcWind tas tauu tauv ts uas vas"
+VARLIST3D="hur hus ta ua va omega z_full"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+for EXPID1 in LandControlN LandAbs07N LandAbs15N LandAbs20N LandOrbitN; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}.monthly_newTcoord.nc
+ cdo -s -settaxis,${!YEARSTART}-01-16,0:00,30d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}.monthly_newTcoord.nc
+ cdo -s -settaxis,${!YEARSTART}-01-16,0:00,30d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'lev_p*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,lev_p,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}.daily_newTcoord.nc
+ cdo -s -settaxis,${!YEARSTART}-01-01,12:00,1d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}.daily_newTcoord.nc
+ cdo -s -settaxis,${!YEARSTART}-01-01,12:00,1d -setcalendar,${CALENDAR} -selvar,${var} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'lev_p*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,lev_p,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh
new file mode 100755
index 0000000000000000000000000000000000000000..800308e7bdb3e7345622b7503a073b9645a95623
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh
@@ -0,0 +1,187 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM3.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - we need to interpolate to pressure for 3d variables, using cdo ml2pl
+# - the 2d fields PR, PRSN, RLUS, RSUS, RSUSCS, RSUT, RSUTCS are in separate files
+# - for precipitation fields PR, PRECC and PRSN we need to multiply with 1000 to get units from units of m/s to kg/m/s
+# - for the montly fields, the time is at the end of each month, but cdo cmor corrects for this automatically
+# - land4xco2 was initialized from aquacontrol, need to add this to the metadata
+# - Aqua4xCO2 3hourly data is missing
+# - SFQ is in monthly data but is equal to zero, SFQ not available for daily and 3hourly data
+# - cdo selvar is very slow for daily and 3hourly data, so we use ncks -v instead
+# - Land simulations 3hourly: 3d fields CLOUD, CLDICE, CLDLIQ, RELHUM are missing
+# - Land simulations 3hourly: 3d fields are missing vertical grid info, so not postprocessed now (maybe could be fixed manually?)
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+echo "----------------------------------------------------------------------------------"
+echo "ATTENTION: MAKE SURE THAT CDO VERSION 1.9.5 IS USED FOR THE ML2PL INTERPOLATION!!!"
+echo "----------------------------------------------------------------------------------"
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM3 # model name at UoMiami server
+MODELUOM2=CAM3 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CAM3 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0046
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0085
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0076
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0085
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0083
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0085
+YEAREND_LandOrbit_A3hr=0125
+
+# SFQ zero for all Amon data
+VARLIST2D_Amon=" " #TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY TS"
+VARLIST2D_Aday=" " #TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY TS"
+VARLIST2D_A3hr="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY TS"
+VARLIST2D_sepfiles="PR PRSN RLUS RSUS RSUSCS RSUT RSUTCS"
+VARLIST3D=" " #CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3"
+#VARLIST3D="Q T U V OMEGA Z3"
+
+plev_int="100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in Land4xCO2 LandOrbit; do
+for STREAM in A3hr; do
+
+ if [ "${STREAM}" == "Amon" ]; then
+ FILE="monthly"
+ VARLIST2D=${VARLIST2D_Amon}
+ fi
+ if [ "${STREAM}" == "Aday" ]; then
+ FILE="daily"
+ VARLIST2D=${VARLIST2D_Aday}
+ fi
+ if [ "${STREAM}" == "A3hr" ]; then
+ FILE="3hourly"
+ VARLIST2D=${VARLIST2D_A3hr}
+ fi
+ echo $FILE, $VARLIST2D
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}.nc
+ MULC=" "
+ if [ "${var}" == "PRECC" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+ for var in ${VARLIST2D_sepfiles}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}_${var}.nc
+ MULC=" "
+ if [ "${var}" == "PR" ] || [ "${var}" == "PRSN" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}.nc
+ echo ${INFILE}
+ ncrcat -O -v ${var},PS,PHIS,hyai,hybi,hyam,hybm ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ## the ncap2 line must not be used for cdo-1.9.5, but is needed for cdo-1.7.2
+ ##ncap2 -O -s "hyai=hyai*100000;hyam=hyam*100000;" ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -a bounds,lev,c,c,"ilev" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDO} -s -setcalendar,${CALENDAR} -selvar,${var} -ml2pl,${plev_int} ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile_intplev.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile_intplev.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh_cmiplev b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh_cmiplev
new file mode 100755
index 0000000000000000000000000000000000000000..3e95d276df4c5ec26cbdf5d21e2e216632cc9b20
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3.sh_cmiplev
@@ -0,0 +1,146 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM3_cmiplev.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3_cmiplev.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3_cmiplev.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - this script only treats the 3d data that was interpolated to 17 CMIP levels by call_plevint_python_CAM3.sh
+# - the pressure interppolation was done previously with the bash-python script call_plevint_python_CAM3.sh
+# - the 3d interpolated fields are in separate files
+# - for the montly fields, the time is at the end of each month --> need to correct this manually
+# - land4xco2 was initialized from aquacontrol, need to add this to the metadata
+# - Aqua4xCO2 3hourly data is missing
+# - cdo selvar is very slow for daily and 3hourly data, so we use ncks -v instead
+# - Land simulations 3hourly: 3d fields CLOUD, CLDICE, CLDLIQ, REHUM are missing
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM3 # model name at UoMiami server
+MODELUOM2=CAM3 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CAM3 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0046
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0085
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0076
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0085
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0083
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0085
+YEAREND_LandOrbit_A3hr=0125
+
+#VARLIST3D="CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3"
+VARLIST3D="Q T U V OMEGA Z3"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in LandControl Land4xCO2 LandOrbit; do
+#for EXPID1 in Aqua4xCO2; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in A3hr; do
+
+ if [ "${STREAM}" == "Amon" ]; then
+ FILE="monthly"
+ SHIFTTIME="-shifttime,-15days"
+ fi
+ if [ "${STREAM}" == "Aday" ]; then
+ FILE="daily"
+ SHIFTTIME="-shifttime,-12hours"
+ fi
+ if [ "${STREAM}" == "A3hr" ]; then
+ FILE="3hourly"
+ SHIFTTIME=" "
+ fi
+ echo $FILE, $VARLIST2D
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}.${var}.cmiplev.nc
+ echo ${INFILE}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/zaxisdes_cmiplev.txt ${SHIFTTIME} -setcalendar,${CALENDAR} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh
new file mode 100755
index 0000000000000000000000000000000000000000..a020b6645433b8620721e83b2130fda5a8e28828
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh
@@ -0,0 +1,213 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM3.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - we need to interpolate to pressure for 3d variables, using cdo ml2pl
+# - the 2d fields PR, PRSN, RLUS, RSUS, RSUSCS, RSUT, RSUTCS are in separate files
+# - for precipitation fields PR, PRECC and PRSN we need to multiply with 1000 to get units from units of m/s to kg/m/s
+# - for the montly fields, the time is at the end of each month, but cdo cmor corrects for this automatically
+# - land4xco2 was initialized from aquacontrol, need to add this to the metadata
+# - Aqua4xCO2 3hourly data is missing
+# - SFQ is in monthly data but is equal to zero, SFQ not available for daily and 3hourly data
+# - cdo selvar is very slow for daily and 3hourly data, so we use ncks -v instead
+# - Land simulations 3hourly: 3d fields CLOUD, CLDICE, CLDLIQ, RELHUM are missing
+# - Land simulations 3hourly: 3d fields are missing vertical grid info, so not postprocessed now (maybe could be fixed manually?)
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -xe
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+echo "----------------------------------------------------------------------------------"
+echo "ATTENTION: MAKE SURE THAT CDO VERSION 1.9.5 IS USED FOR THE ML2PL INTERPOLATION!!!"
+echo "----------------------------------------------------------------------------------"
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM3 # model name at UoMiami server
+MODELUOM2=CAM3 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CAM3 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0046
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0085
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0076
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0085
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0083
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0085
+YEAREND_LandOrbit_A3hr=0125
+
+# SFQ zero for all Amon data
+VARLIST2D_Amon_Aday="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY TS"
+VARLIST2D_A3hr="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TSMX TSMN TAUX TAUY"
+VARLIST2D_sepfiles="PR PRSN RLUS RSUS RSUSCS RSUT RSUTCS"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+# A3hr missing for Aqua4xCO2
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in Aday; do
+
+ SHIFTTIME="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0016-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0036-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0043-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="MISSING DATA"
+ fi
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0083-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0083-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "LandOrbit" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0086-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0116-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0123-01-01,01:30:00,3hour"
+ fi
+ fi
+
+ if [ "${STREAM}" == "Amon" ]; then
+ FILE="monthly"
+ VARLIST2D=${VARLIST2D_Amon_Aday}
+ fi
+ if [ "${STREAM}" == "Aday" ]; then
+ FILE="daily"
+ VARLIST2D=${VARLIST2D_Amon_Aday}
+ fi
+ if [ "${STREAM}" == "A3hr" ]; then
+ FILE="3hourly"
+ VARLIST2D=${VARLIST2D_A3hr}
+ fi
+ echo $FILE, $VARLIST2D
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}.nc
+ MULC=" "
+ if [ "${var}" == "PRECC" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s ${SHIFTTIME} -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+ for var in ${VARLIST2D_sepfiles}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}_${var}.nc
+ MULC=" "
+ if [ "${var}" == "PR" ] || [ "${var}" == "PRSN" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s ${SHIFTTIME} -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh_v2 b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh_v2
new file mode 100755
index 0000000000000000000000000000000000000000..d576342a830c15c334f9047fc9ebc798b76865f1
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM3_2dfields_fixtime.sh_v2
@@ -0,0 +1,214 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM3.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM3.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - we need to interpolate to pressure for 3d variables, using cdo ml2pl
+# - the 2d fields PR, PRSN, RLUS, RSUS, RSUSCS, RSUT, RSUTCS are in separate files
+# - for precipitation fields PR, PRECC and PRSN we need to multiply with 1000 to get units from units of m/s to kg/m/s
+# - for the montly fields, the time is at the end of each month, but cdo cmor corrects for this automatically
+# - land4xco2 was initialized from aquacontrol, need to add this to the metadata
+# - Aqua4xCO2 3hourly data is missing
+# - SFQ is in monthly data but is equal to zero, SFQ not available for daily and 3hourly data
+# - cdo selvar is very slow for daily and 3hourly data, so we use ncks -v instead
+# - Land simulations 3hourly: 3d fields CLOUD, CLDICE, CLDLIQ, RELHUM are missing
+# - Land simulations 3hourly: 3d fields are missing vertical grid info, so not postprocessed now (maybe could be fixed manually?)
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -xe
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+echo "----------------------------------------------------------------------------------"
+echo "ATTENTION: MAKE SURE THAT CDO VERSION 1.9.5 IS USED FOR THE ML2PL INTERPOLATION!!!"
+echo "----------------------------------------------------------------------------------"
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM3 # model name at UoMiami server
+MODELUOM2=CAM3 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CAM3 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0046
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0085
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0076
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0085
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0083
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0085
+YEAREND_LandOrbit_A3hr=0125
+
+# SFQ zero for all Amon data
+VARLIST2D_Amon_Aday="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY TS"
+VARLIST2D_A3hr="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TSMX TSMN TAUX TAUY"
+VARLIST2D_sepfiles="PR PRSN RLUS RSUS RSUSCS RSUT RSUTCS"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir2
+mkdir ${MODELESGF}_tmpdir2
+
+# A3hr missing for Aqua4xCO2
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in Land4xCO2 LandOrbit; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in A3hr; do
+
+ SHIFTTIME="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0016-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0036-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0043-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="MISSING DATA"
+ fi
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0083-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0046-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0076-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0083-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "LandOrbit" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,0086-01-15,00:00:00,1month"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,0116-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,0123-01-01,01:30:00,3hour"
+ fi
+ fi
+
+ if [ "${STREAM}" == "Amon" ]; then
+ FILE="monthly"
+ VARLIST2D=${VARLIST2D_Amon_Aday}
+ fi
+ if [ "${STREAM}" == "Aday" ]; then
+ FILE="daily"
+ VARLIST2D=${VARLIST2D_Amon_Aday}
+ fi
+ if [ "${STREAM}" == "A3hr" ]; then
+ FILE="3hourly"
+ VARLIST2D=${VARLIST2D_A3hr}
+ fi
+ echo $FILE, $VARLIST2D
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir2/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}.nc
+ MULC=" "
+ if [ "${var}" == "PRECC" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir2/ncks_tempfile.nc
+ ${CDO} -s ${SHIFTTIME} -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir2/ncks_tempfile.nc ${MODELESGF}_tmpdir2/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir2/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir2/*
+ done
+ for var in ${VARLIST2D_sepfiles}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir2/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${EXPID1}_${FILE}_${var}.nc
+ MULC=" "
+ if [ "${var}" == "PR" ] || [ "${var}" == "PRSN" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir2/ncks_tempfile.nc
+ ${CDO} -s ${SHIFTTIME} -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir2/ncks_tempfile.nc ${MODELESGF}_tmpdir2/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir2/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir2/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir2
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM4.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM4.sh
new file mode 100755
index 0000000000000000000000000000000000000000..baa6ca24ab5b483a47cbf28ab6c920f3bf9e9b45
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM4.sh
@@ -0,0 +1,133 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM4.sh
+#SBATCH --partition=compute,compute2
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM4.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_CAM4.sh.%j.o
+#SBATCH --time=08:00:00
+#SBATCH --exclusive
+#=============================================================================
+
+# note the following:
+# - some postprocessed fields are in separate files
+# - for precipitation fields pr, prc, and prsn we need to multiply with 1000 to get units from units of m/s to kg/m/s
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM4 # model name at UoMiami server
+MODELUOM2=CAM4 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CAM4 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+VARLIST2D_Amon=" " #TGCLDIWP CLDTOT TGCLDLWP TREFHT TS TSMX TSMN PSL PS U10 QREFHT TAUX TAUY LHFLX SHFLX FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TMQ"
+VARLIST2D_Aday=" " #TGCLDIWP CLDTOT TGCLDLWP TREFHT TS TSMX TSMN PSL PS U10 QREFHT TAUX TAUY LHFLX SHFLX FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TMQ"
+VARLIST2D_A3hr=" " # TGCLDIWP CLDTOT TGCLDLWP TREFHT TS TSMX TSMN PSL PS U10 QREFHT TAUX TAUY LHFLX SHFLX FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TMQ"
+VARLIST2D_sepfiles="PR PRC PRSN" # RLUS RSUS RSUSCS RSUT RSUTCS RTMT"
+VARLIST3D_Amon=" " #CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3"
+VARLIST3D_Aday=" " #CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3"
+VARLIST3D_A3hr=" " #Q T U V OMEGA Z3"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir_${1}_${2}
+mkdir ${MODELESGF}_tmpdir_${1}_${2}
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in ${1}; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in ${2}; do
+
+ if [ "${STREAM}" == "Amon" ]; then
+ FILE="monthly"
+ VARLIST2D=${VARLIST2D_Amon}
+ VARLIST3D=${VARLIST3D_Amon}
+ fi
+ if [ "${STREAM}" == "Aday" ]; then
+ FILE="daily"
+ VARLIST2D=${VARLIST2D_Aday}
+ VARLIST3D=${VARLIST3D_Aday}
+ fi
+ if [ "${STREAM}" == "A3hr" ]; then
+ FILE="3hourly"
+ VARLIST2D=${VARLIST2D_A3hr}
+ VARLIST3D=${VARLIST3D_A3hr}
+ fi
+ echo $FILE, $VARLIST2D
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}.${FILE}.nc
+ echo ${INFILE}
+ ncks -O -v ${var} ${INFILE} ${MODELESGF}_tmpdir_${1}_${2}/ncks_tempfile.nc
+ ${CDO} -s -setcalendar,${CALENDAR} ${MODELESGF}_tmpdir_${1}_${2}/ncks_tempfile.nc ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/*
+ done
+ for var in ${VARLIST2D_sepfiles}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}.${FILE}.${var}.nc
+ MULC=" "
+ if [ "${var}" == "PR" ] || [ "${var}" == "PRSN" ] || [ "${var}" == "PRC" ]; then
+ MULC="-mulc,1000.0"
+ fi
+ echo ${INFILE}, ${MULC}
+ ${CDO} -s -setcalendar,${CALENDAR} ${MULC} ${INFILE} ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/*
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}.${FILE}.${var}.cmiplev.nc
+ echo ${INFILE}
+ ${CDO} -s -setcalendar,${CALENDAR} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/zaxisdes_cmiplev.txt ${INFILE} ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir_${1}_${2}/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir_${1}_${2}/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir_${1}_${2}
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh
new file mode 100755
index 0000000000000000000000000000000000000000..eb604c8a2d5082f73a4d53241d29bdf5ec73d2b8
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh
@@ -0,0 +1,208 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM5Nor.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - daily 3d data is on 8 pressure levels only, so is not used here
+# - there is 6hourly snapshot data for some 3d fields, but this data appears to be all zero/nan???
+#
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=NorESM2 # model name at UoMiami server
+MODELUOM2="" # not needed it seems as file names do not contain model name
+MODELESGF=CAM5Nor # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+
+
+#########################################################
+# Amon STREAM
+
+make_Amon=false
+if [ "x$make_Amon" == "xtrue" ] ; then
+
+STREAM1=Amon
+STREAM2=mon
+
+VARLIST_2D="clivi clt clwvi evspsbl hfls hfss huss pr prc prsn prw ps psl rlds rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs rtmt tas tauu tauv ts uas vas"
+VARLIST_3D="hur hus ta ua va wap zg"
+VARLIST_3D_cmiplev="cl cli clw"
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM1}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST_2D} ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ fi
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+ for var in ${VARLIST_3D_cmiplev}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.cmiplev.nc
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.cmiplev.nc
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.cmiplev.nc
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM1}_${EXPID1}_amip_r1i1p1_0*-0*.cmiplev.nc
+ fi
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/zaxisdes_cmiplev.txt ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+
+fi
+
+#########################################################
+# Aday STREAM
+
+make_Aday=false
+if [ "x$make_Aday" == "xtrue" ] ; then
+
+STREAM1=Aday
+STREAM2=day
+
+VARLIST_2D="clt hfls hfss huss pr prc prsn psl rhs rlds rlus rlut rsds rsus tas tasmax uas vas"
+VARLIST_3D=" "
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM1}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST_2D} ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ fi
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+
+fi
+
+#########################################################
+# A3hr STREAM
+
+make_A3hr=false
+if [ "x$make_A3hr" == "xtrue" ] ; then
+
+STREAM1=A3hr
+STREAM2=3hr
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM1}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ # experiments have different variables available, so set VARLIST_2D here in dependence of experiment
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ VARLIST_2D="clt hfls hfss huss pr prc prsn ps rlds rldscs rlus rsdscs rsuscs tas"
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ VARLIST_2D="clt hfls hfss pr prc prsn rlds rldscs rlus rsdscs rsuscs tas"
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ VARLIST_2D="clt hfls hfss huss pr prc prsn ps rlds rldscs rlus rsdscs rsuscs tas"
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ VARLIST_2D="clt hfls hfss pr prc prsn rlds rldscs rlus rsdscs rsuscs"
+ fi
+
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/amip/${STREAM2}/atmos/${var}/r1i1p1/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ fi
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+
+fi
+
+# remove temporary directory
+#rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh_fix_aqua4xCO2_3hr b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh_fix_aqua4xCO2_3hr
new file mode 100755
index 0000000000000000000000000000000000000000..3fd8036ab07f44100c0def6c81480a7dce13ec6b
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor.sh_fix_aqua4xCO2_3hr
@@ -0,0 +1,98 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM5Nor.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - daily 3d data is on 8 pressure levels only, so is not used here
+# - there is 6hourly snapshot data for some 3d fields, but this data appears to be all zero/nan???
+#
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=NorESM2 # model name at UoMiami server
+MODELUOM2="" # not needed it seems as file names do not contain model name
+MODELESGF=CAM5Nor # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#########################################################
+# A3hr STREAM
+
+make_A3hr=true
+if [ "x$make_A3hr" == "xtrue" ] ; then
+
+STREAM1=A3hr
+STREAM2=3hr
+
+for EXPID1 in Aqua4xCO2; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM1}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ # experiments have different variables available, so set VARLIST_2D here in dependence of experiment
+ if [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ VARLIST_2D="clt hfls hfss pr prc prsn rlds rldscs rlus rsdscs rsuscs"
+ fi
+
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ if [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${EXPID1}/${STREAM1}/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ fi
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -selyear,0047/0086 ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+
+fi
+
+# remove temporary directory
+#rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor_Aday_tasmin.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor_Aday_tasmin.sh
new file mode 100755
index 0000000000000000000000000000000000000000..78f4341727722f888e80c1b4904cd4e9635688b9
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CAM5Nor_Aday_tasmin.sh
@@ -0,0 +1,96 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CAM5Nor.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CAM5Nor.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - daily 3d data is on 8 pressure levels only, so is not used here
+# - there is 6hourly snapshot data for some 3d fields, but this data appears to be all zero/nan???
+#
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=NorESM2 # model name at UoMiami server
+MODELUOM2="" # not needed it seems as file names do not contain model name
+MODELESGF=CAM5Nor # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+
+
+
+#########################################################
+# Aday STREAM
+
+make_Aday=true
+if [ "x$make_Aday" == "xtrue" ] ; then
+
+STREAM1=Aday
+STREAM2=day
+
+VARLIST_2D="tasmin"
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM1}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM1} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/NorESM2/${var}_${STREAM2}_${EXPID1}_amip_r1i1p1_0*-0*.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+
+fi
+
+# remove temporary directory
+#rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CNRM-AM5.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CNRM-AM5.sh
new file mode 100755
index 0000000000000000000000000000000000000000..7f9d59a98c95101d2d6a67afffe55d870fc1eba5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_CNRM-AM5.sh
@@ -0,0 +1,132 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_CNRM-AM5.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=12
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CNRM-AM5.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_CNRM-AM5.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+set -e
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CNRM-AM6-DIA-v2 # model name at UoMiami server
+MODELUOM2=CNRM-AM6-DIA-v2 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=CNRM-AM5 # ESGF model name
+
+MAPPINGTABLE=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=proleptic_gregorian
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=1979
+YEARSTART_Aqua4xCO2_Amon=1969
+YEARSTART_LandControl_Amon=1969
+YEARSTART_Land4xCO2_Amon=1969
+YEARSTART_LandOrbit_Amon=1969
+
+YEAREND_AquaControl_Amon=2008
+YEAREND_Aqua4xCO2_Amon=2008
+YEAREND_LandControl_Amon=2008
+YEAREND_Land4xCO2_Amon=2008
+YEAREND_LandOrbit_Amon=2008
+
+YEARSTART_AquaControl_Aday=1999
+YEARSTART_Aqua4xCO2_Aday=1999
+YEARSTART_LandControl_Aday=1999
+YEARSTART_Land4xCO2_Aday=1999
+YEARSTART_LandOrbit_Aday=1999
+
+YEAREND_AquaControl_Aday=2008
+YEAREND_Aqua4xCO2_Aday=2008
+YEAREND_LandControl_Aday=2008
+YEAREND_Land4xCO2_Aday=2008
+YEAREND_LandOrbit_Aday=2008
+
+YEARSTART_AquaControl_A3hr=2006
+YEARSTART_Aqua4xCO2_A3hr=2006
+YEARSTART_LandControl_A3hr=2006
+YEARSTART_Land4xCO2_A3hr=2006
+YEARSTART_LandOrbit_A3hr=2006
+
+YEAREND_AquaControl_A3hr=2009
+YEAREND_Aqua4xCO2_A3hr=2009
+YEAREND_LandControl_A3hr=2009
+YEAREND_Land4xCO2_A3hr=2009
+YEAREND_LandOrbit_A3hr=2009
+
+VARLIST="clivi clt clwvi hfls hfss hur hus pr prc prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs ta tas ts ua va wap zg"
+
+# temporary directory for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in Land4xCO2 LandOrbit; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var} ${CDOCMORINFO} ${MIPTABLE} ${INFILE}
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/day/${var}_day_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1231.nc
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var} ${INFILE}
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=A3hr
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/3hr/${var}_3hr_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01010300-${!YEAREND}01010000.nc
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var} ${INFILE}
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+done
+
+# remove temporary directory for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir/
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM61.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM61.sh
new file mode 100755
index 0000000000000000000000000000000000000000..959407f5c3534b16b789c300a9d1132fc7db02a5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM61.sh
@@ -0,0 +1,413 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_ECHAM61.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=8
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_ECHAM61.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_ECHAM61.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+set -e
+
+CDO="cdo -P 8"
+
+set -e
+
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MAPPINGTABLE=/work/bm0162/b380459/cdocmor_input/ECHAM61/mt_TRACMIP_ECHAM61.txt
+
+VARLIST="cl cli clivi clt clw clwvi evspsbl hfls hfss hur hus pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind ta tas tasmax tasmin tauu tauv ts ua uas va vas wap zg"
+
+make_AquaControl_Amon="false"
+make_Aqua4xCO2_Amon="false"
+make_LandControl_Amon="false"
+make_Land4xCO2_Amon="false"
+make_LandOrbit_Amon="false"
+
+make_AquaControl_Aday="false"
+make_Aqua4xCO2_Aday="false"
+make_LandControl_Aday="false"
+make_Land4xCO2_Aday="false"
+make_LandOrbit_Aday="false"
+
+make_AquaControl_A3hr="false"
+make_Aqua4xCO2_A3hr="false"
+make_LandControl_A3hr="false"
+make_Land4xCO2_A3hr="false"
+make_LandOrbit_A3hr="true"
+
+# create temporary directory for this model for ECHAM61_tmpdir/tempfile.nc
+rm -rf ECHAM61_tmpdir
+mkdir ECHAM61_tmpdir
+
+#---------------------
+# AquaControl Amon
+#---------------------
+if [ "x$make_AquaControl_Amon" == "xtrue" ] ; then
+ EXPID1=AquaControl
+ EXPID2=aquaControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Amon
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Amon" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0016
+ YEAREND=0045
+ if [ "${var}" == "tasmin" ] || [ "${var}" == "tasmax" ]; then
+ YEARSTART=0034
+ #echo ${YEARSTART}
+ fi
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-01-01,0,30day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Amon/${var}_Amon_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# AquaControl Aday
+#---------------------
+if [ "x$make_AquaControl_Aday" == "xtrue" ] ; then
+ EXPID1=AquaControl
+ EXPID2=aquaControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Aday
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Aday" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0036
+ YEAREND=0045
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-01-01,12,1day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Aday/${var}_Aday_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# AquaControl A3hr
+#---------------------
+if [ "x$make_AquaControl_A3hr" == "xtrue" ] ; then
+ EXPID1=AquaControl
+ EXPID2=aquaControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_A3hr
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing A3hr" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0043
+ YEAREND=0045
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-01-01,00:00,3hour -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/A3hr/${var}_A3hr_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Aqua4xCO2 Amon
+#---------------------
+if [ "x$make_Aqua4xCO2_Amon" == "xtrue" ] ; then
+ EXPID1=Aqua4xCO2
+ EXPID2=aqua4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Amon
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Amon" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0046
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-15,0,30day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Amon/${var}_Amon_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Aqua4xCO2 Aday
+#---------------------
+if [ "x$make_Aqua4xCO2_Aday" == "xtrue" ] ; then
+ EXPID1=Aqua4xCO2
+ EXPID2=aqua4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Aday
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Aday" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0081
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,12,1day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Aday/${var}_Aday_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Aqua4xCO2 A3hr
+#---------------------
+if [ "x$make_Aqua4xCO2_A3hr" == "xtrue" ] ; then
+ EXPID1=Aqua4xCO2
+ EXPID2=aqua4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_A3hr
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing A3hr" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0088
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,00:00,3hour -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/A3hr/${var}_A3hr_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandControl Amon
+#---------------------
+if [ "x$make_LandControl_Amon" == "xtrue" ] ; then
+ EXPID1=LandControl
+ EXPID2=landControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Amon
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Amon" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0046
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-15,0,30day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Amon/${var}_Amon_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandControl Aday
+#---------------------
+if [ "x$make_LandControl_Aday" == "xtrue" ] ; then
+ EXPID1=LandControl
+ EXPID2=landControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Aday
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Aday" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0081
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,12,1day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Aday/${var}_Aday_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandControl A3hr
+#---------------------
+if [ "x$make_LandControl_A3hr" == "xtrue" ] ; then
+ EXPID1=LandControl
+ EXPID2=landControlTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_A3hr
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing A3hr" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0088
+ YEAREND=0090
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,00:00,3hour -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/A3hr/${var}_A3hr_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Land4xCO2 Amon
+#---------------------
+if [ "x$make_Land4xCO2_Amon" == "xtrue" ] ; then
+ EXPID1=Land4xCO2
+ EXPID2=land4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Amon
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Amon" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0091
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-15,0,30day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Amon/${var}_Amon_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Land4xCO2 Aday
+#---------------------
+if [ "x$make_Land4xCO2_Aday" == "xtrue" ] ; then
+ EXPID1=Land4xCO2
+ EXPID2=land4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Aday
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Aday" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0126
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,12,1day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Aday/${var}_Aday_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# Land4xCO2 A3hr
+#---------------------
+if [ "x$make_Land4xCO2_A3hr" == "xtrue" ] ; then
+ EXPID1=Land4xCO2
+ EXPID2=land4xCO2TRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_A3hr
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing A3hr" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0133
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,00:00,3hour -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/A3hr/${var}_A3hr_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandOrbit Amon
+#---------------------
+if [ "x$make_LandOrbit_Amon" == "xtrue" ] ; then
+ EXPID1=LandOrbit
+ EXPID2=landOrbitTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Amon
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Amon" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0091
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-15,0,30day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Amon/${var}_Amon_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandOrbit Aday
+#---------------------
+if [ "x$make_LandOrbit_Aday" == "xtrue" ] ; then
+ EXPID1=LandOrbit
+ EXPID2=landOrbitTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_Aday
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing Aday" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0126
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,12,1day -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/Aday/${var}_Aday_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+#---------------------
+# LandOrbit A3hr
+#---------------------
+if [ "x$make_LandOrbit_A3hr" == "xtrue" ] ; then
+ EXPID1=LandOrbit
+ EXPID2=landOrbitTRACMIP
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_A3hr
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/ECHAM61/cdocmorinfo_TRACMIP_ECHAM61_${EXPID2}
+ for var in ${VARLIST}; do
+ rm -f ECHAM61_tmpdir/tempfile.nc
+ echo "Processing A3hr" ${EXPID1} ${var}
+ DIVC=1.0
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC=100.0
+ #echo ${DIVC}
+ fi
+ YEARSTART=0133
+ YEAREND=0135
+ ${CDO} -s divc,${DIVC} -settaxis,${YEARSTART}-1-1,00:00,3hour -setcalendar,360_day /work/bm0162/b380459/TRACMIP/ECHAM-6.1/${EXPID1}/A3hr/${var}_A3hr_echam6-1_${EXPID1}_r1i1p1_${YEARSTART}01-${YEAREND}12.nc ECHAM61_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ECHAM61_tmpdir/tempfile.nc
+ rm ECHAM61_tmpdir/tempfile.nc
+ done
+fi
+
+# remove temporary working directory
+rm -rf ECHAM61_tmpdir
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM63.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM63.sh
new file mode 100755
index 0000000000000000000000000000000000000000..bf964b749c31f0d1d2580105f08a0140f30d832d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_ECHAM63.sh
@@ -0,0 +1,130 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_ECHAM63.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_ECHAM63.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_ECHAM63.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=ECHAM6.3 # model name at UoMiami server
+MODELUOM2=echam6-3 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=ECHAM63 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+VARLIST="cl cli clivi clt clw clwvi evspsbl hfls hfss hur hus pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind ta tas tauu tauv ts ua uas va vas wap zg"
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+CALENDAR=360_day
+#CALENDAR=proleptic_gregorian
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for STREAM in Amon Aday A3hr; do
+
+ SHIFTTIME="ERROR" # so that script stops if none of the if conditions is met
+ if [ "${EXPID1}" == "AquaControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,1996-01-01,00:00:00,30day"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,2016-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,2023-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Aqua4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,2026-01-01,00:00:00,30day"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,2056-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,2063-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "LandControl" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,2026-01-01,00:00:00,30day"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,2056-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,2063-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "Land4xCO2" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,2066-01-01,00:00:00,30day"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,2096-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,2103-01-01,01:30:00,3hour"
+ fi
+ elif [ "${EXPID1}" == "LandOrbit" ]; then
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-settaxis,2066-01-01,00:00:00,30day"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-settaxis,2096-01-01,12:00:00,1day"
+ elif [ "${STREAM}" == "A3hr" ]; then
+ SHIFTTIME="-settaxis,2103-01-01,01:30:00,3hour"
+ fi
+ fi
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_????01-????12.nc
+ DIVC=" "
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ DIVC="-divc,100.0"
+ fi
+ echo ${INFILE}, ${DIVC}
+ ncks -v ${var} ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s ${SHIFTTIME} -setcalendar,${CALENDAR} ${DIVC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_GISS-ModelE2.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_GISS-ModelE2.sh
new file mode 100755
index 0000000000000000000000000000000000000000..40f102df6abd8347fb8651bfff8568bd78170e46
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_GISS-ModelE2.sh
@@ -0,0 +1,151 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_GISS-ModelE2.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_GISS-ModelE2.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_GISS-ModelE2.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+# note:
+# - only aqua data
+# - daily and 3hr data not complete
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=GISS_ModelE # model name at UoMiami server
+MODELUOM2=GISS-E2-R # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=GISS-ModelE2 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+
+plev="100000,92500,85000,70000,60000,50000,40000,30000,25000,20000,15000,10000,7000,5000,3000,2000,1000"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#########################
+# A3hr Stream
+
+#VARLIST_2D="hfls hfss huss pr ps psl rlds rlus rsds rsus tas"
+VARLIST_2D="hfls hfss pr rlds rlus rsds rsus"
+for EXPID1 in AquaControl Aqua4xCO2; do
+for STREAM in A3hr; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_3hr_${MODELUOM2}_*_r1i1p1011_*-*.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+
+#########################
+# Amon Stream
+
+VARLIST_2D="clivi clt clwvi evspsbl hfls hfss hurs huss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs rtmt sfcWind tas tasmax tasmin tauu tauv ts uas vas"
+VARLIST_3D="hur hus ta ua va wap zg"
+VARLIST_3D_cmiplev="cl cli clw"
+for EXPID1 in AquaControl Aqua4xCO2; do
+for STREAM in Amon; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_*_r1i1p1011_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+ for var in ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_*_r1i1p1011_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -sellevel,${plev} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+ for var in ${VARLIST_3D_cmiplev}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_*_r1i1p1011_????01-????12.cmiplev.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/zaxisdes_cmiplev.txt ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+
+done
+done
+
+#########################
+# Aday Stream
+
+VARLIST_2D="hfls hfss huss pr ps psl rlds rlus rsds rsus tas"
+for EXPID1 in AquaControl Aqua4xCO2; do
+for STREAM in Aday; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_day_${MODELUOM2}_*_r1i1p1011_??????01-??????31.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A.sh
new file mode 100755
index 0000000000000000000000000000000000000000..e93cb1d9eae0ef201d67afa0ad48665b77e56aba
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A.sh
@@ -0,0 +1,139 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_LMDZ5A.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_LMDZ5A.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_LMDZ5A.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note: no 3hr data available
+# clw 3hr missing for AquaControl
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=IPSL-CM5A # model name at UoMiami server
+MODELUOM2=IPSL-CM5A # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=LMDZ5A # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#############################
+# Amon Stream
+
+VARLIST_2D="clivi clt clwi evspsbl hfls hfss hurs huss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas tauu tauv ts uas vas "
+VARLIST_3D="hur hus ta ua va wap zg cl cli clw"
+
+make_Amon=false
+if [ "x$make_Amon" == "xtrue" ] ; then
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for STREAM in Amon; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D} ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -settaxis,2000-01-16,0:00,30d -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+fi
+
+#############################
+# Aday Stream
+
+VARLIST_2D=" " #clivi clt clwi evspsbl hfls hfss hurs huss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas ts uas vas "
+VARLIST_3D="cl cli hur hus ta ua va wap zg"
+
+make_Aday=true
+if [ "x$make_Aday" == "xtrue" ] ; then
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in LandOrbit; do
+for STREAM in Aday; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D} ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -settaxis,2020-01-01,12:00,1d -setcalendar,360_day -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# now also do clw for Aqua4x and all land (clw missing for aquaControl)
+for EXPID1 in Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for STREAM in Aday; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in clw; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -settaxis,2020-01-01,12:00,1d -setcalendar,360_day -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+
+fi
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A_Aday_tasmax_tasmin.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A_Aday_tasmax_tasmin.sh
new file mode 100755
index 0000000000000000000000000000000000000000..064854a35dd4e2176f24134e2aea72cf1d0273e3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_LMDZ5A_Aday_tasmax_tasmin.sh
@@ -0,0 +1,89 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_LMDZ5A.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_LMDZ5A.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_LMDZ5A.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note: no 3hr data available
+# clw 3hr missing for AquaControl
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=IPSL-CM5A # model name at UoMiami server
+MODELUOM2=IPSL-CM5A # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=LMDZ5A # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#############################
+# Aday Stream
+
+VARLIST_2D="tasmax tasmin"
+
+make_Aday=true
+if [ "x$make_Aday" == "xtrue" ] ; then
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for STREAM in Aday; do
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ for var in ${VARLIST_2D} ${VARLIST_3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_????01-????12.nc
+ echo ${INFILE}
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} -settaxis,2020-01-01,12:00,1d -setcalendar,360_day -selvar,${var} ${INFILE}
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+
+fi
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
+
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MIROC5.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MIROC5.sh
new file mode 100755
index 0000000000000000000000000000000000000000..f2036b6a081bdc995fe91594a111bda2c67e8d95
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MIROC5.sh
@@ -0,0 +1,259 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_MIROC5.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_MIROC5.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_MIROC5.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# we need to multiply clt, cl, hur, hurs with 100 to go from fraction to per cent
+# we ignore cmflx
+# for cl, cli, clw the file names are *_plevels, as these have been interpolated to pressure levels by the script call_clouds_ml2pl_MIROC5.sh
+# for 3-d variables that are not cl, cli, clw, pressure is in hPa instead of Pa, and so need to be converted to Pa
+# fro Aday and A3hr, we first needed to merge individual years to a single file for entire Aday/A3hr output periods
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MIROC5 # model name at UoMiami server
+MODELUOM2=MIROC5 # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=MIROC5 # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=360_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=1016
+YEARSTART_Aqua4xCO2_Amon=1046
+YEARSTART_LandControl_Amon=1046
+YEARSTART_Land4xCO2_Amon=1086
+YEARSTART_LandOrbit_Amon=1086
+
+YEAREND_AquaControl_Amon=1045
+YEAREND_Aqua4xCO2_Amon=1085
+YEAREND_LandControl_Amon=1085
+YEAREND_Land4xCO2_Amon=1125
+YEAREND_LandOrbit_Amon=1125
+
+YEARSTART_AquaControl_Aday=1036
+YEARSTART_Aqua4xCO2_Aday=1076
+YEARSTART_LandControl_Aday=1076
+YEARSTART_Land4xCO2_Aday=1116
+YEARSTART_LandOrbit_Aday=1116
+
+YEAREND_AquaControl_Aday=1045
+YEAREND_Aqua4xCO2_Aday=1085
+YEAREND_LandControl_Aday=1085
+YEAREND_Land4xCO2_Aday=1125
+YEAREND_LandOrbit_Aday=1125
+
+YEARSTART_AquaControl_A3hr=1043
+YEARSTART_Aqua4xCO2_A3hr=1083
+YEARSTART_LandControl_A3hr=1083
+YEARSTART_Land4xCO2_A3hr=1123
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=1045
+YEAREND_Aqua4xCO2_A3hr=1085
+YEAREND_LandControl_A3hr=1085
+YEAREND_Land4xCO2_A3hr=1125
+YEAREND_LandOrbit_A3hr=1125
+
+VARLIST2D="cct clivi clt clwvi evspsbl hfls hfss hurs huss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas tasmax tasmin tauu tauv ts uas vas"
+VARLIST3D="cl cli clw hur hus ta ua va wap zg"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in AquaControl Aqua4xCO2; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in " "; do #${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ echo ${INFILE}
+ MULC=" "
+ if [ "${var}" == "clt" ] || [ "${var}" == "hurs" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in " "; do #${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ "${var}" == "cl" ] || [ "${var}" == "cli" ] || [ "${var}" == "clw" ] ; then
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc_plevels
+ fi
+ echo ${INFILE}
+ MULC=" "
+ if [ "${var}" == "cl" ] || [ "${var}" == "hur" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ # if not cloud fields, than plev is in hPa, so must be converted to Pa
+ if [ "${var}" != "cl" ] && [ "${var}" != "cli" ] && [ "${var}" != "clw" ]; then
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ for var in " "; do #${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ echo ${INFILE}
+ MULC=" "
+ if [ "${var}" == "clt" ] || [ "${var}" == "hurs" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in " "; do # ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ if [ "${var}" == "cl" ] || [ "${var}" == "cli" ] || [ "${var}" == "clw" ] ; then
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc_plevels
+ fi
+ echo ${INFILE}
+ MULC=" "
+ if [ "${var}" == "cl" ] || [ "${var}" == "hur" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ # if not cloud fields, than plev is in hPa, so must be converted to Pa
+ if [ "${var}" != "cl" ] && [ "${var}" != "cli" ] && [ "${var}" != "clw" ]; then
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=A3hr
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}.txt
+ SETTAXIS=" "
+ if [ ${EXPID1} = "AquaControl" ]; then
+ SETTAXIS="-settaxis,1043-01-01,1:30,3h"
+ elif [ ${EXPID1} = "Aqua4xCO2" ]; then
+ SETTAXIS="-settaxis,1083-01-01,1:30,3h"
+ elif [ ${EXPID1} = "LandControl" ]; then
+ SETTAXIS="-settaxis,1083-01-01,1:30,3h"
+ elif [ ${EXPID1} = "Land4xCO2" ]; then
+ SETTAXIS="-settaxis,1123-01-01,1:30,3h"
+ elif [ ${EXPID1} = "LandOrbit" ]; then
+ SETTAXIS="-settaxis,1123-01-01,1:30,3h"
+ fi
+
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ echo ${INFILE}
+ MULC=" "
+ if [ "${var}" == "clt" ] || [ "${var}" == "hurs" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} ${SETTAXIS} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ echo ${INFILE}
+ if [ "${var}" == "cl" ] || [ "${var}" == "cli" ] || [ "${var}" == "clw" ] ; then
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc_plevels
+ fi
+ MULC=" "
+ if [ "${var}" == "cl" ] || [ "${var}" == "hur" ]; then
+ MULC="-mulc,100.0"
+ fi
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${MULC} ${SETTAXIS} -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ # if not cloud fields, than plev is in hPa, so must be converted to Pa
+ if [ "${var}" != "cl" ] && [ "${var}" != "cli" ] && [ "${var}" != "clw" ]; then
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MPAS.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MPAS.sh
new file mode 100755
index 0000000000000000000000000000000000000000..78cc29cec71c28b07dc2ca3a9f2e5f20aa456bf8
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MPAS.sh
@@ -0,0 +1,230 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_MPAS.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_MPAS.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_cdocmor_MPAS.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# - 3d data was interpolated to CMIP pressure levels before, there are separate files for each variable
+# - the 2d fields PR, PRSN, RLUS, RSUS, RSUSCS, RSUT, RSUTCS are in separate files
+# - for precipitation fields PR, PRECC and PRSN we need to multiply with 1000 to get units from units of m/s to kg/m/s
+# - 3hr land data is faulty (only one timestep per day) and thus not cmorized
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module unload nco
+module unload cdo
+
+module load cdo/1.9.5-gcc64
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MPAS # model name at UoMiami server
+MODELUOM2=MPAS # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=MPAS # ESGF model name
+
+MAPPINGTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=365_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0086
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0125
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0116
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0125
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0123
+YEARSTART_LandOrbit_A3hr=0123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0125
+YEAREND_LandOrbit_A3hr=0125
+
+VARLIST2D="TGCLDIWP CLDTOT TGCLDLWP LHFLX SHFLX PRECC TMQ PS PSL FLDS FLDSC FLUT FLUTC FSDS FSDSC SOLIN TREFHT TSMX TSMN TAUX TAUY SST"
+VARLIST2D_sepfiles="PR PRSN RLUS RSUS RSUSCS RSUT RSUTCS"
+VARLIST3D="CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3"
+
+# move into TRACMIP work directory to do actual work
+cd /work/bm0162/b380459/TRACMIP_cmorized
+
+pwd
+
+# create temporary directory for this model for tempfile.nc
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in Aday; do
+
+ case $EXPID1 in
+ AquaControl)
+ case $STREAM in
+ Amon)
+ FILE="Amon/Aqua_SOM_newmpas_cam4_240km.cam.h0.001601-004512"
+ ;;
+ Aday)
+ FILE="Aday/Aqua_SOM_newmpas_cam4_240km_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FILE="A3hr/Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.mergetime"
+ ;;
+ esac
+ ;;
+ Aqua4xCO2)
+ case $STREAM in
+ Amon)
+ FILE="Amon/Aqua_SOM_newmpas_cam4_240km_4xco2.cam.h0.004601-008512"
+ ;;
+ Aday)
+ FILE="Aday/Aqua_SOM_newmpas_cam4_240km_4xco2_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FILE="A3hr/Aqua_SOM_newmpas_cam4_240km_4xco2_3hrly.cam.h0.mergetime"
+ ;;
+ esac
+ ;;
+ LandControl)
+ case $STREAM in
+ Amon)
+ FILE="Amon/Aqua_SOM_newmpas_cam4_240km_landcontrol.cam.h0.004601-008512"
+ ;;
+ Aday)
+ FILE="Aday/Aqua_SOM_newmpas_cam4_240km_landcontrol_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FILE="A3hr/MISSING"
+ ;;
+ esac
+ ;;
+ Land4xCO2)
+ case $STREAM in
+ Amon)
+ FILE="Amon/Aqua_SOM_newmpas_cam4_240km_land4xco2.cam.h0.008601-012512"
+ ;;
+ Aday)
+ FILE="Aday/Aqua_SOM_newmpas_cam4_240km_land4xco2_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FILE="A3hr/MISSING"
+ ;;
+ esac
+ ;;
+ LandOrbit)
+ case $STREAM in
+ Amon)
+ FILE="Amon/Aqua_SOM_newmpas_cam4_240km_landorbit.cam.h0.008601-012512"
+ ;;
+ Aday)
+ FILE="Aday/Aqua_SOM_newmpas_cam4_240km_landorbit_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FILE="A3hr/MISSING"
+ ;;
+ esac
+ ;;
+ esac
+
+ echo $FILE
+
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ #for var in ${VARLIST2D}; do
+ # echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ # rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ # INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${FILE}.nc
+ # MULC=" "
+ # if [ "${var}" == "PRECC" ]; then
+ # MULC="-mulc,1000.0"
+ # fi
+ # echo ${INFILE}, ${MULC}
+ # ncks -v ${var},lon,lat ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ # ${CDO} -s -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ # ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ # rm -f ${MODELESGF}_tmpdir/*
+ # done
+ # for var in ${VARLIST2D_sepfiles}; do
+ # echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ # rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ # INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${FILE}_${var}.nc
+ # MULC=" "
+ # if [ "${var}" == "PR" ] || [ "${var}" == "PRSN" ]; then
+ # MULC="-mulc,1000.0"
+ # fi
+ # echo ${INFILE}, ${MULC}
+ # ncks -v ${var},lon,lat ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ # ${CDO} -s -setcalendar,${CALENDAR} ${MULC} ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ # ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ # rm -f ${MODELESGF}_tmpdir/*
+ # done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ INFILE=/work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${FILE}.${var}.cmiplev.nc
+ SHIFTTIME=" "
+ if [ "${STREAM}" == "Amon" ]; then
+ SHIFTTIME="-shifttime,-15days"
+ elif [ "${STREAM}" == "Aday" ]; then
+ SHIFTTIME="-shifttime,-12hours"
+ fi
+ echo ${INFILE}, ${SHIFTTIME}
+ ncks -v ${var},lon,lat ${INFILE} ${MODELESGF}_tmpdir/ncks_tempfile.nc
+ ${CDO} -s -setcalendar,${CALENDAR} ${SHIFTTIME} -setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/zaxisdes_cmiplev.txt ${MODELESGF}_tmpdir/ncks_tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ rm -f ${MODELESGF}_tmpdir/*
+ done
+
+done
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
+
+# move back to cdo script directory
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-CTL.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-CTL.sh
new file mode 100755
index 0000000000000000000000000000000000000000..57fd8fb8271d041ade0674af3e60d22720759f92
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-CTL.sh
@@ -0,0 +1,224 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_MetUM-CTL.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_MetUM-CTL.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_MetUM-CTL.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# Land4xCO2 A3hr data covers year 0113-0115 instead of 0123-0125
+# LandOrbit A3hr data is missing
+# pressure axis must be converted from hPa to Pa with nco
+# uas, vas are missing for Aday
+# ps, rlut, ts are missing for A3hr
+# prc is missing for LandOrbit Amon
+# time axis for AquaControl A3hr is broken and repaired manually
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MetUM-GA6-CTL # model name at UoMiami server
+MODELUOM2=MetUM-GA6-CTL # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=MetUM-CTL # ESGF model name
+
+MAPPINGTABLE=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=360_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0086
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0125
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0116
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0125
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0113
+YEARSTART_LandOrbit_A3hr=0123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0115
+YEAREND_LandOrbit_A3hr=0125
+
+VARLIST2D="clivi clt clwvi evspsbl hfls hfss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas tauu tauv ts uas vas"
+VARLIST3D="cl cli clw hur hus ta ua va wap zg"
+
+# create temporary directory for this model for tempfile.nc and griddes.txt
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+rm -f ${MODELESGF}_tmpdir/griddes.txt
+${CDO} -s griddes /work/bm0162/b380459/TRACMIP/MetUM-GA6-CTL/AquaControl/Amon/hurs_Amon_MetUM-GA6-CTL_AquaControl_r1i1p1_001601-004512.nc > ${MODELESGF}_tmpdir/griddes.txt
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in LandOrbit; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "LandControl" ]; then
+ SETTAXIS="-settaxis,0046-01-16,0:00,30d"
+ elif [ ${EXPID1} = "Land4xCO2" ]; then
+ SETTAXIS="-settaxis,0086-01-16,0:00,30d"
+ elif [ ${EXPID1} = "LandOrbit" ]; then
+ SETTAXIS="-settaxis,0086-01-16,0:00,30d"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "LandOrbit" ]; then
+ SETTAXIS="-settaxis,0116-01-01,12:00,1d"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=A3hr
+ EXPID2=EXPID2_${EXPID1}
+ # we need to catch that A3hr files have 4XCO2 instead of 4xCO2 in their file names
+ EXPID3=${EXPID1}
+ if [ ${EXPID1} = "Aqua4xCO2" ]; then
+ EXPID3=Aqua4XCO2
+ elif [ ${EXPID1} = "Land4xCO2" ]; then
+ EXPID3=Land4XCO2
+ fi
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "AquaControl" ]; then
+ SETTAXIS="-settaxis,0043-01-01,1:30,3h"
+ elif [ ${EXPID1} = "Aqua4xCO2" ]; then
+ SETTAXIS="-settaxis,0082-01-01,1:30,3h"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID3}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID3}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-ENT.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-ENT.sh
new file mode 100755
index 0000000000000000000000000000000000000000..28a30ee92f8392ac78889e83fd65980486e757b1
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_cdocmor_MetUM-ENT.sh
@@ -0,0 +1,222 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_MetUM-ENT.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_MetUM-ENT.sh.%j.o
+#SBATCH --error=/work/bm0162/b380459/TRACMIP_cmorized/call_cdocmor_MetUM-ENT.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# Land4xCO2 A3hr data covers year 0113-0115 instead of 0123-0125
+# LandOrbit A3hr data is missing
+# time axis for AquaControl A3hr is broken and repaired manually
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MetUM-GA6-ENT # model name at UoMiami server
+MODELUOM2=MetUM-GA6-ENT # for some models, there is a second UoMiami name needed for the actual variable file (differs from directory name by, e.g., small or capital letters)
+MODELESGF=MetUM-ENT # ESGF model name
+
+MAPPINGTABLE=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/mt_TRACMIP_${MODELESGF}.txt
+echo "Using MAPPINGTABLE:" ${MAPPINGTABLE}
+
+CALENDAR=360_day
+
+EXPID2_AquaControl=aquaControlTRACMIP
+EXPID2_Aqua4xCO2=aqua4xCO2TRACMIP
+EXPID2_LandControl=landControlTRACMIP
+EXPID2_Land4xCO2=land4xCO2TRACMIP
+EXPID2_LandOrbit=landOrbitTRACMIP
+
+YEARSTART_AquaControl_Amon=0016
+YEARSTART_Aqua4xCO2_Amon=0046
+YEARSTART_LandControl_Amon=0046
+YEARSTART_Land4xCO2_Amon=0086
+YEARSTART_LandOrbit_Amon=0086
+
+YEAREND_AquaControl_Amon=0045
+YEAREND_Aqua4xCO2_Amon=0085
+YEAREND_LandControl_Amon=0085
+YEAREND_Land4xCO2_Amon=0125
+YEAREND_LandOrbit_Amon=0125
+
+YEARSTART_AquaControl_Aday=0036
+YEARSTART_Aqua4xCO2_Aday=0076
+YEARSTART_LandControl_Aday=0076
+YEARSTART_Land4xCO2_Aday=0116
+YEARSTART_LandOrbit_Aday=0116
+
+YEAREND_AquaControl_Aday=0045
+YEAREND_Aqua4xCO2_Aday=0085
+YEAREND_LandControl_Aday=0085
+YEAREND_Land4xCO2_Aday=0125
+YEAREND_LandOrbit_Aday=0125
+
+YEARSTART_AquaControl_A3hr=0043
+YEARSTART_Aqua4xCO2_A3hr=0083
+YEARSTART_LandControl_A3hr=0083
+YEARSTART_Land4xCO2_A3hr=0113
+YEARSTART_LandOrbit_A3hr=0123
+
+YEAREND_AquaControl_A3hr=0045
+YEAREND_Aqua4xCO2_A3hr=0085
+YEAREND_LandControl_A3hr=0085
+YEAREND_Land4xCO2_A3hr=0115
+YEAREND_LandOrbit_A3hr=0125
+
+VARLIST2D="clivi clt clwvi evspsbl hfls hfss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas tauu tauv ts uas vas"
+VARLIST3D="cl cli clw hur hus ta ua va wap zg"
+
+# create temporary directory for this model for tempfile.nc and griddes.txt
+rm -rf ${MODELESGF}_tmpdir
+mkdir ${MODELESGF}_tmpdir
+
+rm -f ${MODELESGF}_tmpdir/griddes.txt
+${CDO} -s griddes /work/bm0162/b380459/TRACMIP/MetUM-GA6-CTL/AquaControl/Amon/hurs_Amon_MetUM-GA6-CTL_AquaControl_r1i1p1_001601-004512.nc > ${MODELESGF}_tmpdir/griddes.txt
+
+#for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID1 in LandOrbit; do
+
+ STREAM=Amon
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "Aqua4xCO2" ]; then
+ SETTAXIS="-settaxis,0046-01-16,0:00,30d"
+ elif [ ${EXPID1} = "LandControl" ]; then
+ SETTAXIS="-settaxis,0046-01-16,0:00,30d"
+ elif [ ${EXPID1} = "Land4xCO2" ]; then
+ SETTAXIS="-settaxis,0086-01-16,0:00,30d"
+ elif [ ${EXPID1} = "LandOrbit" ]; then
+ SETTAXIS="-settaxis,0086-01-16,0:00,30d"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=Aday
+ EXPID2=EXPID2_${EXPID1}
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "LandOrbit" ]; then
+ SETTAXIS="-settaxis,0116-01-01,12:00,1d"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+ STREAM=A3hr
+ EXPID2=EXPID2_${EXPID1}
+ # we need to catch that A3hr files have 4XCO2 instead of 4xCO2 in their file names
+ EXPID3=${EXPID1}
+ if [ ${EXPID1} = "Aqua4xCO2" ]; then
+ EXPID3=Aqua4XCO2
+ elif [ ${EXPID1} = "Land4xCO2" ]; then
+ EXPID3=Land4XCO2
+ fi
+ MIPTABLE=/work/bm0162/b380459/cdocmor_input/TRACMIP_${STREAM}
+ CDOCMORINFO=/work/bm0162/b380459/cdocmor_input/${MODELESGF}/cdocmorinfo_TRACMIP_${MODELESGF}_${!EXPID2}
+ # in some cases we need to repair time axis
+ SETTAXIS=" "
+ if [ ${EXPID1} = "AquaControl" ]; then
+ SETTAXIS="-settaxis,0043-01-01,1:30,3h"
+ elif [ ${EXPID1} = "Aqua4xCO2" ]; then
+ SETTAXIS="-settaxis,0082-01-01,1:30,3h"
+ fi
+ for var in ${VARLIST2D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID3}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+ for var in ${VARLIST3D}; do
+ echo "Currently working on:" ${MODELESGF} ${EXPID1} ${STREAM} ${var}
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM2}_${EXPID3}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ if [ -f ${INFILE} ]; then
+ ${CDO} -s ${SETTAXIS} -remapcon,${MODELESGF}_tmpdir/griddes.txt -setcalendar,${CALENDAR} ${INFILE} ${MODELESGF}_tmpdir/tempfile.nc
+ ncap2 -O -s 'plev*=100' ${MODELESGF}_tmpdir/tempfile.nc ${MODELESGF}_tmpdir/tempfile.nc
+ ncatted -O -a units,plev,m,c,"Pa" ${MODELESGF}_tmpdir/tempfile.nc
+ ${CDOCMOR} -s cmor,${MIPTABLE},info=${CDOCMORINFO},mapping_table=${MAPPINGTABLE} ${MODELESGF}_tmpdir/tempfile.nc
+ fi
+ rm -f ${MODELESGF}_tmpdir/tempfile.nc
+ done
+
+done
+
+# remove temporary directory
+rm -rf ${MODELESGF}_tmpdir
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_clouds_ml2pl_MIROC5.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_clouds_ml2pl_MIROC5.sh
new file mode 100755
index 0000000000000000000000000000000000000000..03f72c3b20b67a042cf8389ad2419fd1c417c6b0
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_clouds_ml2pl_MIROC5.sh
@@ -0,0 +1,127 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_cdocmor_MIROC5.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_clouds_ml2pl_MIROC5.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_clouds_ml2pl_MIROC5.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# 3d cloud fields are on hybrid sigma ("heta40" levels), before cmorizing we interpolate them to pressure levels
+# we ignore cmflx here and in the cmorizing as it has 41 heta levels, for which I do not have the hybrid sigma coefficients
+
+# the cdo ml2pl interpolation can give over and undershoots in case of strong vertical gradients, which in fact happen quite often for cloud fields
+# we use the cdo setrtoc to restrict cl to values between 0 and 1, and cli and clw to values >0
+# more generally the cdo ml2pl misses many of the interesting vertical features of the cloud field, as it has only
+# 17 levels instead of 40 levels, ... so the vertically-interpolated cloud fields could be misleading, but this is what TRACMIP decided to do ...
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MIROC5 # model name at UoMiami server
+
+YEARSTART_AquaControl_Amon=1016
+YEARSTART_Aqua4xCO2_Amon=1046
+YEARSTART_LandControl_Amon=1046
+YEARSTART_Land4xCO2_Amon=1086
+YEARSTART_LandOrbit_Amon=1086
+
+YEAREND_AquaControl_Amon=1045
+YEAREND_Aqua4xCO2_Amon=1085
+YEAREND_LandControl_Amon=1085
+YEAREND_Land4xCO2_Amon=1125
+YEAREND_LandOrbit_Amon=1125
+
+YEARSTART_AquaControl_Aday=1036
+YEARSTART_Aqua4xCO2_Aday=1076
+YEARSTART_LandControl_Aday=1076
+YEARSTART_Land4xCO2_Aday=1116
+YEARSTART_LandOrbit_Aday=1116
+
+YEAREND_AquaControl_Aday=1045
+YEAREND_Aqua4xCO2_Aday=1085
+YEAREND_LandControl_Aday=1085
+YEAREND_Land4xCO2_Aday=1125
+YEAREND_LandOrbit_Aday=1125
+
+YEARSTART_AquaControl_A3hr=1043
+YEARSTART_Aqua4xCO2_A3hr=1083
+YEARSTART_LandControl_A3hr=1083
+YEARSTART_Land4xCO2_A3hr=1123
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=1045
+YEAREND_Aqua4xCO2_A3hr=1085
+YEAREND_LandControl_A3hr=1085
+YEAREND_Land4xCO2_A3hr=1125
+YEAREND_LandOrbit_A3hr=1125
+
+VARLIST3D="cl cli clw"
+
+for EXPID1 in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+
+ for STREAM in Amon; do
+
+ for var in ${VARLIST3D}; do
+ echo "Currently interpolating:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE_CLOUD=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ INFILE_PS=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/ps_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_${!YEARSTART}01-${!YEAREND}12.nc
+ echo ${INFILE_CLOUD} ${INFILE_PS}
+ ${CDO} -O setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/MIROC5/miroc5_zaxisdes.txt -invertlev ${INFILE_CLOUD} tmpin1
+ ${CDO} -O merge -mulc,100 ${INFILE_PS} tmpin1 tmpin2
+ SETTORANGE=" "
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ SETTORANGE="-setrtoc,-10000,0,0"
+ fi
+ if [ "${var}" == "cl" ]; then
+ SETTORANGE="-setrtoc,-10000,0,0 -setrtoc,1,10000,1"
+ fi
+ ${CDO} -O ${SETTORANGE} -delvar,ps -ml2pl,1000,2000,3000,5000,7000,10000,15000,20000,25000,30000,40000,50000,60000,70000,85000,92500,100000 tmpin2 ${INFILE_CLOUD}_plevels
+ rm -f tmpin1 tmpin2
+ done
+
+ done
+
+ for STREAM in Aday A3hr; do
+
+ for var in ${VARLIST3D}; do
+ echo "Currently interpolating:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ YEARSTART=YEARSTART_${EXPID1}_${STREAM}
+ YEAREND=YEAREND_${EXPID1}_${STREAM}
+ INFILE_CLOUD=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ INFILE_PS=/work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/ps_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_${!YEARSTART}0101-${!YEAREND}1230.nc
+ echo ${INFILE_CLOUD} ${INFILE_PS}
+ ${CDO} -O setzaxis,/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/MIROC5/miroc5_zaxisdes.txt -invertlev ${INFILE_CLOUD} tmpin1
+ ${CDO} -O merge -mulc,100 ${INFILE_PS} tmpin1 tmpin2
+ SETTORANGE=" "
+ if [ "${var}" == "cli" ] || [ "${var}" == "clw" ]; then
+ SETTORANGE="-setrtoc,-10000,0,0"
+ fi
+ if [ "${var}" == "cl" ]; then
+ SETTORANGE="-setrtoc,-10000,0,0 -setrtoc,1,10000,1"
+ fi
+ ${CDO} -O ${SETTORANGE} -delvar,ps -ml2pl,1000,2000,3000,5000,7000,10000,15000,20000,25000,30000,40000,50000,60000,70000,85000,92500,100000 tmpin2 ${INFILE_CLOUD}_plevels
+ ${CDO} -O ${SETTORANGE} -delvar,ps -ml2pl,1000,2000,3000,5000,7000,10000,15000,20000,25000,30000,40000,50000,60000,70000,85000,92500,100000 tmpin2 ${INFILE_CLOUD}_plevels
+ rm -f tmpin1 tmpin2
+ done
+
+ done
+
+done
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM3.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM3.sh
new file mode 100755
index 0000000000000000000000000000000000000000..fd5b8643090b64f0282da278b74fc1eafe36819c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM3.sh
@@ -0,0 +1,76 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_call_make-postvariables_Amon_Aday_A3hr_CAM3.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM3.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM3.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# we manually calculate those variables that are not part in the CAM3 raw output but can be calculated from other variables
+# this includes:
+# PR = PRECC + PRECL
+# PRSN = PRECSC + PRECSL
+# RLUS = FLDS + FLNS
+# RSUS = FSDS - FSNS
+# RSUSCS = FSDSC - FSNSC
+# RSUT = SOLIN - FSNT
+# RSUTCS = SOLIN - FSNTC
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM3 # model name at UoMiami server
+
+#for EXPID in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID in LandControl Land4xCO2 LandOrbit; do
+for STREAM in monthly daily 3hourly; do
+
+ cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID}/
+
+ # PR
+ ${CDO} -setname,PR -add -selvar,PRECC ${EXPID}_${STREAM}.nc -selvar,PRECL ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_PR.nc
+ ncatted -O -a longname,PR,o,c,precipitation -a long_name,PR,o,c,precipitation ${EXPID}_${STREAM}_PR.nc
+
+ # PRSN
+ ${CDO} -setname,PRSN -add -selvar,PRECSC ${EXPID}_${STREAM}.nc -selvar,PRECSL ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_PRSN.nc
+ ncatted -O -a longname,PRSN,o,c,"snow fall (water equivalent)" -a long_name,PRSN,o,c," snow fall (water equivalent)" ${EXPID}_${STREAM}_PRSN.nc
+
+ # RLUS
+ ${CDO} -setname,RLUS -add -selvar,FLDS ${EXPID}_${STREAM}.nc -selvar,FLNS ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_RLUS.nc
+ ncatted -O -a longname,RLUS,o,c,surface_upwelling_longwave_flux -a long_name,RLUS,o,c,surface_upwelling_longwave_flux ${EXPID}_${STREAM}_RLUS.nc
+
+ # RSUS
+ ${CDO} -setname,RSUS -add -selvar,FSDS ${EXPID}_${STREAM}.nc -mulc,-1 -selvar,FSNS ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_RSUS.nc
+ ncatted -O -a longname,RSUS,o,c,surface_upwelling_shortwave_flux -a long_name,RSUS,o,c,surface_upwelling_shortwave_flux ${EXPID}_${STREAM}_RSUS.nc
+
+ # RSUSCS
+ ${CDO} -setname,RSUSCS -add -selvar,FSDSC ${EXPID}_${STREAM}.nc -mulc,-1 -selvar,FSNSC ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_RSUSCS.nc
+ ncatted -O -a longname,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky -a long_name,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky ${EXPID}_${STREAM}_RSUSCS.nc
+
+ # RSUT
+ ${CDO} -setname,RSUT -add -selvar,SOLIN ${EXPID}_${STREAM}.nc -mulc,-1 -selvar,FSNT ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_RSUT.nc
+ ncatted -O -a longname,RSUT,o,c,top_upwelling_shortwave_flux -a long_name,RSUT,o,c,top_upwelling_shortwave_flux ${EXPID}_${STREAM}_RSUT.nc
+
+ # RSUTCS
+ ${CDO} -setname,RSUTCS -add -selvar,SOLIN ${EXPID}_${STREAM}.nc -mulc,-1 -selvar,FSNTC ${EXPID}_${STREAM}.nc ${EXPID}_${STREAM}_RSUTCS.nc
+ ncatted -O -a longname,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky -a long_name,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky ${EXPID}_${STREAM}_RSUTCS.nc
+
+done
+done
+
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM4.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM4.sh
new file mode 100755
index 0000000000000000000000000000000000000000..3d00eaef4310201947488bbb55324bce3e10d6ad
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM4.sh
@@ -0,0 +1,97 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_call_make-postvariables_Amon_Aday_A3hr_CAM4.sh
+#SBATCH --partition=compute,compute2
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM4.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_CAM4.sh.%j.o
+#SBATCH --exclusive
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# we manually calculate those variables that are not part in the CAM4 raw output but can be calculated from other variables
+# this includes (info from Brian Rose):
+#
+# Precipitation (all in kg/m2/s or equivalently in m/s):
+# pr = PRECC+PRECL
+# prsn = PRECSC+PRECSL
+# prc = PRECC
+#
+# Surface orography (in meters):
+# orog = PHIS / 9.81
+#
+# Radiative fluxes (all in W/m2):
+# Aiko: probably wrong:rlus = FLNS - FLDS (rlus is positive up)
+# must read: rlus = FLNS + FLDS (rlus is positive up)
+# rsus = FSDS - FSNS (rsus is positive up)
+# rsuscs = FSDSC - FSNSC (rsuscs is positive up)
+# rsut = SOLIN - FSNT (rsut is positive up)
+# rsutcs = SOLIN - FSNTC (rsutcs in positive up)
+# rtmt = FSNT - FLNT (rtmt is positive down)
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -ex
+
+module load nco
+
+CDO="cdo -P 8"
+CDO="cdo -P 16"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=CAM4 # model name at UoMiami server
+
+#for EXPID in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+for EXPID in Land4xCO2 LandOrbit; do
+for STREAM in monthly daily 3hourly; do
+
+ cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/
+
+ # pr
+ ${CDO} -setname,PR -add -selvar,PRECC ${EXPID}.${STREAM}.nc -selvar,PRECL ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.PR.nc
+ ncatted -O -a longname,PR,o,c,precipitation -a long_name,PR,o,c,precipitation ${EXPID}.${STREAM}.PR.nc
+
+ # prsn
+ ${CDO} -setname,PRSN -add -selvar,PRECSC ${EXPID}.${STREAM}.nc -selvar,PRECSL ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.PRSN.nc
+ ncatted -O -a longname,PRSN,o,c,"snow fall (water equivalent)" -a long_name,PRSN,o,c,"snow fall (water equivalent)" ${EXPID}.${STREAM}.PRSN.nc
+
+ # prc
+ ncks -O -v PRECC ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.PRC.nc
+ ncrename -O -v PRECC,PRC ${EXPID}.${STREAM}.PRC.nc
+ ncatted -O -a longname,PRC,o,c,convprecipitation -a long_name,PRC,o,c,"conv precipitation" ${EXPID}.${STREAM}.PRC.nc
+
+ # rlus
+ ${CDO} -setname,RLUS -add -selvar,FLNS ${EXPID}.${STREAM}.nc -selvar,FLDS ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RLUS.nc
+ ncatted -O -a longname,RLUS,o,c,surface_upwelling_longwave_flux -a long_name,RLUS,o,c,surface_upwelling_longwave_flux ${EXPID}.${STREAM}.RLUS.nc
+
+ # rsus
+ ${CDO} -setname,RSUS -add -selvar,FSDS ${EXPID}.${STREAM}.nc -mulc,-1 -selvar,FSNS ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RSUS.nc
+ ncatted -O -a longname,RSUS,o,c,surface_upwelling_shortwave_flux -a long_name,RSUS,o,c,surface_upwelling_shortwave_flux ${EXPID}.${STREAM}.RSUS.nc
+
+ # rsuscs
+ ${CDO} -setname,RSUSCS -add -selvar,FSDSC ${EXPID}.${STREAM}.nc -mulc,-1 -selvar,FSNSC ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RSUSCS.nc
+ ncatted -O -a longname,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky -a long_name,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky ${EXPID}.${STREAM}.RSUSCS.nc
+
+ # rsut
+ ${CDO} -setname,RSUT -add -selvar,SOLIN ${EXPID}.${STREAM}.nc -mulc,-1 -selvar,FSNT ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RSUT.nc
+ ncatted -O -a longname,RSUT,o,c,top_upwelling_shortwave_flux -a long_name,RSUT,o,c,top_upwelling_shortwave_flux ${EXPID}.${STREAM}.RSUT.nc
+
+ # rsutcs
+ ${CDO} -setname,RSUTCS -add -selvar,SOLIN ${EXPID}.${STREAM}.nc -mulc,-1 -selvar,FSNTC ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RSUTCS.nc
+ ncatted -O -a longname,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky -a long_name,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky ${EXPID}.${STREAM}.RSUTCS.nc
+
+ # rtmt
+ ${CDO} -setname,RTMT -add -selvar,FSNT ${EXPID}.${STREAM}.nc -mulc,-1 -selvar,FLNT ${EXPID}.${STREAM}.nc ${EXPID}.${STREAM}.RTMT.nc
+ ncatted -O -a longname,RTMT,o,c,top_net -a long_name,RTMT,o,c,top_net ${EXPID}.${STREAM}.RTMT.nc
+
+done
+done
+
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_MPAS.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_MPAS.sh
new file mode 100755
index 0000000000000000000000000000000000000000..b214d3717f05d891f68f436ea8166d487759cdca
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_MPAS.sh
@@ -0,0 +1,148 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_call_make-postvariables_Amon_Aday_A3hr_MPAS.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_MPAS.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_make-postvariables_Amon_Aday_A3hr_MPAS.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# we manually calculate those variables that are not part in the MPAS raw output but can be calculated from other variables
+# this includes:
+# PR = PRECC + PRECL
+# PRSN = PRECSC + PRECSL
+# RLUS = FLDS + FLNS
+# RSUS = FSDS - FSNS
+# RSUSCS = FSDSC - FSNSC
+# RSUT = SOLIN - FSNT
+# RSUTCS = SOLIN - FSNTC
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco/4.7.5-gcc64
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MPAS # model name at UoMiami server
+
+#for EXPID in AquaControl Aqua4xCO2; do # LandControl Land4xCO2 LandOrbit; do
+#for EXPID in LandControl Land4xCO2 LandOrbit; do
+for EXPID in LandOrbit; do
+#for STREAM in Amon Aday A3hr; do
+for STREAM in Amon Aday; do
+
+ case $EXPID in
+ AquaControl)
+ case $STREAM in
+ Amon)
+ FNAME="Aqua_SOM_newmpas_cam4_240km.cam.h0.001601-004512"
+ ;;
+ Aday)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.mergetime"
+ ;;
+ esac
+ ;;
+ Aqua4xCO2)
+ case $STREAM in
+ Amon)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_4xco2.cam.h0.004601-008512"
+ ;;
+ Aday)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_4xco2_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_4xco2_3hrly.cam.h0.mergetime"
+ ;;
+ esac
+ ;;
+ LandControl)
+ case $STREAM in
+ Amon)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_landcontrol.cam.h0.004601-008512"
+ ;;
+ Aday)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_landcontrol_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FNAME="MISSING"
+ ;;
+ esac
+ ;;
+ Land4xCO2)
+ case $STREAM in
+ Amon)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_land4xco2.cam.h0.008601-012512"
+ ;;
+ Aday)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_land4xco2_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FNAME="MISSING"
+ ;;
+ esac
+ ;;
+ LandOrbit)
+ case $STREAM in
+ Amon)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_landorbit.cam.h0.008601-012512"
+ ;;
+ Aday)
+ FNAME="Aqua_SOM_newmpas_cam4_240km_landorbit_daily.cam.h0.mergetime"
+ ;;
+ A3hr)
+ FNAME="MISSING"
+ ;;
+ esac
+ ;;
+ esac
+
+ echo $EXPID $STREAM $FNAME
+
+ cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}
+
+ # PR
+ ${CDO} -setname,PR -add -selvar,PRECC ${FNAME}.nc -selvar,PRECL ${FNAME}.nc ${FNAME}_PR.nc
+ ncatted -O -a longname,PR,o,c,precipitation -a long_name,PR,o,c,precipitation ${FNAME}_PR.nc
+
+ # PRSN
+ ${CDO} -setname,PRSN -add -selvar,PRECSC ${FNAME}.nc -selvar,PRECSL ${FNAME}.nc ${FNAME}_PRSN.nc
+ ncatted -O -a longname,PRSN,o,c,"snow fall (water equivalent)" -a long_name,PRSN,o,c,"snow fall (water equivalent)" ${FNAME}_PRSN.nc
+
+ # RLUS
+ ${CDO} -setname,RLUS -add -selvar,FLDS ${FNAME}.nc -selvar,FLNS ${FNAME}.nc ${FNAME}_RLUS.nc
+ ncatted -O -a longname,RLUS,o,c,surface_upwelling_longwave_flux -a long_name,RLUS,o,c,surface_upwelling_longwave_flux ${FNAME}_RLUS.nc
+
+ # RSUS
+ ${CDO} -setname,RSUS -add -selvar,FSDS ${FNAME}.nc -mulc,-1 -selvar,FSNS ${FNAME}.nc ${FNAME}_RSUS.nc
+ ncatted -O -a longname,RSUS,o,c,surface_upwelling_shortwave_flux -a long_name,RSUS,o,c,surface_upwelling_shortwave_flux ${FNAME}_RSUS.nc
+
+ # RSUSCS
+ ${CDO} -setname,RSUSCS -add -selvar,FSDSC ${FNAME}.nc -mulc,-1 -selvar,FSNSC ${FNAME}.nc ${FNAME}_RSUSCS.nc
+ ncatted -O -a longname,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky -a long_name,RSUSCS,o,c,surface_upwelling_shortwave_flux_clearsky ${FNAME}_RSUSCS.nc
+
+ # RSUT
+ ${CDO} -setname,RSUT -add -selvar,SOLIN ${FNAME}.nc -mulc,-1 -selvar,FSNT ${FNAME}.nc ${FNAME}_RSUT.nc
+ ncatted -O -a longname,RSUT,o,c,top_upwelling_shortwave_flux -a long_name,RSUT,o,c,top_upwelling_shortwave_flux ${FNAME}_RSUT.nc
+
+ # RSUTCS
+ ${CDO} -setname,RSUTCS -add -selvar,SOLIN ${FNAME}.nc -mulc,-1 -selvar,FSNTC ${FNAME}.nc ${FNAME}_RSUTCS.nc
+ ncatted -O -a longname,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky -a long_name,RSUTCS,o,c,top_upwelling_shortwave_flux_clearsky ${FNAME}_RSUTCS.nc
+
+done
+done
+
+cd /pf/b/b380459/TRACMIP_Cmorizing/cdoscripts
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MIROC5.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MIROC5.sh
new file mode 100755
index 0000000000000000000000000000000000000000..ac0e6c9c28e327089382230cfe9c5c5be27c5c4d
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MIROC5.sh
@@ -0,0 +1,195 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_mergetime_Aday_A3hr_MIROC5.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_mergetime_Aday_A3hr_MIROC5.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_mergetime_Aday_A3hr_MIROC5.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# 3d cloud fields are on hybrid sigma ("heta40" levels), before cmorizing we interpolate them to pressure levels
+# we ignore cmflx here and in the cmorizing as it has 41 heta levels, for which I do not have the hybrid sigma coefficients
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco
+
+CDO="cdo -P 8"
+CDOCMOR="/work/bm0021/cdo_incl_cmor/cdo_11_15_2017_cmor2/src/cdo -P 8"
+
+MODELUOM=MIROC5 # model name at UoMiami server
+
+YEARSTART_AquaControl_Amon=1016
+YEARSTART_Aqua4xCO2_Amon=1046
+YEARSTART_LandControl_Amon=1046
+YEARSTART_Land4xCO2_Amon=1086
+YEARSTART_LandOrbit_Amon=1086
+
+YEAREND_AquaControl_Amon=1045
+YEAREND_Aqua4xCO2_Amon=1085
+YEAREND_LandControl_Amon=1085
+YEAREND_Land4xCO2_Amon=1125
+YEAREND_LandOrbit_Amon=1125
+
+YEARSTART_AquaControl_Aday=1036
+YEARSTART_Aqua4xCO2_Aday=1076
+YEARSTART_LandControl_Aday=1076
+YEARSTART_Land4xCO2_Aday=1116
+YEARSTART_LandOrbit_Aday=1116
+
+YEAREND_AquaControl_Aday=1045
+YEAREND_Aqua4xCO2_Aday=1085
+YEAREND_LandControl_Aday=1085
+YEAREND_Land4xCO2_Aday=1125
+YEAREND_LandOrbit_Aday=1125
+
+YEARSTART_AquaControl_A3hr=1043
+YEARSTART_Aqua4xCO2_A3hr=1083
+YEARSTART_LandControl_A3hr=1083
+YEARSTART_Land4xCO2_A3hr=1123
+YEARSTART_LandOrbit_A3hr=1123
+
+YEAREND_AquaControl_A3hr=1045
+YEAREND_Aqua4xCO2_A3hr=1085
+YEAREND_LandControl_A3hr=1085
+YEAREND_Land4xCO2_A3hr=1125
+YEAREND_LandOrbit_A3hr=1125
+
+VARLIST2D="cct clivi clt clwvi evspsbl hfls hfss hurs huss pr prc prsn prw ps psl rlds rldscs rlus rlut rlutcs rsds rsdscs rsdt rsus rsuscs rsut rsutcs sfcWind tas tasmax tasmin tauu tauv ts uas vas"
+VARLIST3D="cl cli clw hur hus ta ua va wap zg"
+
+# AquaControl Aday
+EXPID1=AquaControl
+STREAM=Aday
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10360101-10361230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_103[6789]0101-103[6789]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_104[012345]0101-104[012345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10360101-10451230.nc
+ fi
+done
+
+# AquaControl A3hr
+EXPID1=AquaControl
+STREAM=A3hr
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10430101-10431230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_104[345]0101-104[345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10430101-10451230.nc
+ fi
+done
+
+# Aqua4xCO2 Aday
+EXPID1=Aqua4xCO2
+STREAM=Aday
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10760101-10761230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_107[6789]0101-107[6789]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_108[012345]0101-108[012345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10760101-10851230.nc
+ fi
+done
+
+# Aqua4xCO2 A3hr
+EXPID1=Aqua4xCO2
+STREAM=A3hr
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10830101-10831230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_108[345]0101-108[345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10830101-10851230.nc
+ fi
+done
+
+# LandControl Aday
+EXPID1=LandControl
+STREAM=Aday
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10760101-10761230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_107[6789]0101-107[6789]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_108[012345]0101-108[012345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10760101-10851230.nc
+ fi
+done
+
+# LandControl A3hr
+EXPID1=LandControl
+STREAM=A3hr
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10830101-10831230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_108[345]0101-108[345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_10830101-10851230.nc
+ fi
+done
+
+# Land4xCO2 Aday
+EXPID1=Land4xCO2
+STREAM=Aday
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11160101-11161230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_111[6789]0101-111[6789]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_112[012345]0101-112[012345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11160101-11251230.nc
+ fi
+done
+
+# Land4xCO2 A3hr
+EXPID1=Land4xCO2
+STREAM=A3hr
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11230101-11231230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_112[345]0101-112[345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11230101-11251230.nc
+ fi
+done
+
+# LandOrbit Aday
+EXPID1=LandOrbit
+STREAM=Aday
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11160101-11161230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_111[6789]0101-111[6789]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_112[012345]0101-112[012345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11160101-11251230.nc
+ fi
+done
+
+# LandOrbit A3hr
+EXPID1=LandOrbit
+STREAM=A3hr
+cd /work/bm0162/b380459/TRACMIP/${MODELUOM}/${EXPID1}/${STREAM}/
+for var in ${VARLIST2D} ${VARLIST3D}; do
+ echo "Currently merging:" ${MODELUOM} ${EXPID1} ${STREAM} ${var}
+ if [ -f ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11230101-11231230.nc ]; then
+ cdo -O mergetime ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_112[345]0101-112[345]1230.nc \
+ ${var}_${STREAM}_${MODELUOM}_${EXPID1}_r1i1p1_11230101-11251230.nc
+ fi
+done
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MPAS.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MPAS.sh
new file mode 100755
index 0000000000000000000000000000000000000000..114e02fb0f769071fc9e9cd33e37d842fd45ee77
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_mergetime_Aday_A3hr_MPAS.sh
@@ -0,0 +1,88 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_mergetime_Aday_A3hr_MPAS.sh
+#SBATCH --partition=prepost
+#SBATCH --ntasks=2
+#SBATCH --cpus-per-task=8 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_mergetime_Aday_A3hr_MPAS.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_mergetime_Aday_A3hr_MPAS.sh.%j.o
+#SBATCH --time=08:00:00
+#=============================================================================
+
+# note the following:
+# 3hourly data for the land simulations has only one timestep per day, so is not actually 3hourly
+# it is therefore not merged
+
+# Bind your OpenMP threads
+export OMP_NUM_THREADS=8
+export KMP_AFFINITY=verbose,granularity=thread,compact,1
+export KMP_STACKSIZE=64m
+
+set -e
+
+module load nco/4.7.5-gcc64
+
+MODELUOM=MPAS # model name at UoMiami server
+
+#EXPID="AquaControl"
+#STREAM="Aday"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_daily.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_daily.cam.h0.mergetime.nc
+
+#EXPID="AquaControl"
+#STREAM="A3hr"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.mergetime.nc
+
+#EXPID="Aqua4xCO2"
+#STREAM="Aday"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_4xco2_daily.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_4xco2_daily.cam.h0.mergetime.nc
+
+#EXPID="Aqua4xCO2"
+#STREAM="A3hr"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_4xco2_3hrly.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_4xco2_3hrly.cam.h0.mergetime.nc
+
+#EXPID="LandControl"
+#STREAM="Aday"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_landcontrol_daily.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_landcontrol_daily.cam.h0.mergetime.nc
+
+#EXPID="LandControl"
+#STREAM="A3hr"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_landcontrol_3hrly.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_landcontrol_3hrly.cam.h0.mergetime.nc
+
+EXPID="Land4xCO2"
+STREAM="Aday"
+cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+ncrcat Aqua_SOM_newmpas_cam4_240km_land4xco2_daily.cam.h0.0???-??-??-00000.nc Aqua_SOM_newmpas_cam4_240km_land4xco2_daily.cam.h0.mergetime.nc
+
+#EXPID="Land4xCO2"
+#STREAM="A3hr"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_land4xco2_3hrly.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_land4xco2_3hrly.cam.h0.mergetime.nc
+
+EXPID="LandOrbit"
+STREAM="Aday"
+cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+ncrcat Aqua_SOM_newmpas_cam4_240km_landorbit_daily.cam.h0.0???-??-??-00000.nc Aqua_SOM_newmpas_cam4_240km_landorbit_daily.cam.h0.mergetime.nc
+
+#EXPID="LandOrbit"
+#STREAM="A3hr"
+#cd /work/bm0834/b380459/TRACMIP/${MODELUOM}/${EXPID}/${STREAM}/
+#echo "Currently merging:" ${MODELUOM} ${EXPID} ${STREAM}
+#ncrcat Aqua_SOM_newmpas_cam4_240km_landorbit_3hrly.cam.h0.00*nc Aqua_SOM_newmpas_cam4_240km_landorbit_3hrly.cam.h0.mergetime.nc
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM3.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM3.sh
new file mode 100755
index 0000000000000000000000000000000000000000..3aed47a36f0a3c75726d7081f2f0a45bf00c19f0
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM3.sh
@@ -0,0 +1,122 @@
+#!/bin/bash
+# note the following:
+# we use python xarray and scipy interpolation to remap 3d data to 17 CMIP5 pressure levels
+
+set -e
+
+# we use the anaconda bleeding edge python version, as it contains cftime, which allows us to circumvent the dates issues that I saw with python/3.5.2
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f plev_interpolate_CAM3.py
+cat << 'EOF' >> plev_interpolate_CAM3.py
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+# check if variable is in data set: only in this case go ahead with the script
+if (varname in ds.keys()):
+
+ ntim = ds.time.size
+ nlat = ds.lat.size
+ nlon = ds.lon.size
+
+ plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+ # create new dataset with vertically interpolated 3d fields
+ ds_int = xr.Dataset()
+ ds_int.attrs = ds.attrs
+
+ var = ds[varname].values
+ ps = ds['PS'].values
+
+ # in some files, hyam, hybm and p0 are missing, so we set them manually here
+ #hyam = ds['hyam'].values
+ #hybm = ds['hybm'].values
+ #p0 = ds['P0'].values
+
+ hyam = np.array([ 0.00354464, 0.00738881, 0.01396721, 0.02394462, 0.03723029,
+ 0.05311461, 0.07005915, 0.07791257, 0.07660701, 0.07507109,
+ 0.07326415, 0.07113839, 0.06863753, 0.06569541, 0.06223416,
+ 0.05816217, 0.05337168, 0.04773593, 0.04110576, 0.0333057 ,
+ 0.02496844, 0.01709591, 0.01021471, 0.00480318, 0.00126068, 0. ])
+ hybm = np.array([ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0.00752655, 0.02390769, 0.04317925,
+ 0.06585125, 0.09252369, 0.1239024 , 0.16081785, 0.204247 ,
+ 0.2553391 , 0.3154463 , 0.3861593 , 0.4693495 , 0.5672185 ,
+ 0.67182785, 0.77060615, 0.85694605, 0.9248457 , 0.96929415,
+ 0.9925561 ])
+ p0 = 100000.0
+
+ pmid = np.zeros((ntim, 26, nlat, nlon)) + np.nan
+ for t in range(ntim):
+ for k in range(26):
+ pmid[t,k] = hyam[k]*p0 + hybm[k]*ps[t]
+
+ varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+ for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+ # if variable is cloud cover or relative humidity, then restrict to physical range of 0..1 for CLOUD, and 0..100 for RELHUM
+ if varname=='CLOUD':
+ varint = np.maximum(np.minimum(varint,1.0),0.0)
+ if varname=='RELHUM':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+
+
+ # convert varint into dataarray
+ da_varint = xr.DataArray(varint, name=varname, dims=('time','lev','lat','lon'), coords={'time': ds.time, 'lev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ ds_int[varname]=da_varint
+
+ ds_int.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.cmiplev.nc')
+
+EOF
+
+# note: 3hourly data missing for Aqua4xCO2
+# 3d cloud data missing for 3hourly land simulations
+# maybe more data is missing ... but this is caught in the python script
+
+#for EXPID in AquaControl; do
+#for VAR in CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3; do
+# python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_monthly" "${VAR}"
+# python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_daily" "${VAR}"
+# python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_3hourly" "${VAR}"
+#done
+#done
+
+#for EXPID in Aqua4xCO2; do
+#for VAR in CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3; do
+# python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_monthly" "${VAR}"
+# python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_daily" "${VAR}"
+#done
+#done
+
+for EXPID in LandControl Land4xCO2 LandOrbit; do
+for VAR in CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3; do
+ python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_monthly" "${VAR}"
+ python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_daily" "${VAR}"
+ python3 plev_interpolate_CAM3.py "/work/bm0162/b380459/TRACMIP/CAM3/${EXPID}/" "${EXPID}_3hourly" "${VAR}"
+done
+
+
+done
+
+
+rm -f plev_interpolate_CAM3.py
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM4.sh_EXPID_STREAM_VAR_commandline b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM4.sh_EXPID_STREAM_VAR_commandline
new file mode 100755
index 0000000000000000000000000000000000000000..c572afda70f9f69a64b0241069a82d8214b27255
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM4.sh_EXPID_STREAM_VAR_commandline
@@ -0,0 +1,95 @@
+#!/bin/bash
+#=============================================================================
+# btc batch job parameters
+#-----------------------------------------------------------------------------
+#SBATCH --account=bm0834
+#SBATCH --job-name=call_plevint_python_CAM4.sh
+#SBATCH --partition=compute2
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=1 # Specify number of CPUs per task
+#SBATCH --output=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_plevint_python_CAM4.sh.%j.o
+#SBATCH --error=/pf/b/b380459/TRACMIP_Cmorizing/cdoscripts/call_plevint_python_CAM4.sh.%j.o
+#SBATCH --exclusive
+#SBATCH --time=08:00:00
+#=============================================================================
+
+set -ex
+
+# note the following:
+# we use python xarray and scipy interpolation to remap 3d data to 17 CMIP5 pressure levels
+
+# we use the anaconda bleeding edge python version, as it contains cftime, which allows us to circumvent the dates issues that I saw with python/3.5.2
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f plev_interpolate_CAM4.py
+cat << 'EOF' >> plev_interpolate_CAM4.py_${1}_${2}_${3}
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+# check if variable is in data set: only in this case go ahead with the script
+if (varname in ds.keys()):
+
+ ntim = ds.time.size
+ nlat = ds.lat.size
+ nlon = ds.lon.size
+
+ plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+ # create new dataset with vertically interpolated 3d fields
+ ds_int = xr.Dataset()
+ ds_int.attrs = ds.attrs
+
+ var = ds[varname].values
+ ps = ds['PS'].values
+
+ hyam = ds['hyam'].values
+ hybm = ds['hybm'].values
+ p0 = ds['P0'].values
+
+ pmid = np.zeros((ntim, 26, nlat, nlon)) + np.nan
+ for t in range(ntim):
+ for k in range(26):
+ pmid[t,k] = hyam[k]*p0 + hybm[k]*ps[t]
+
+ varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+ for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+ # if variable is cloud cover or relative humidity, then restrict to physical range of 0..1 for CLOUD, and 0..100 for RELHUM
+ if varname=='CLOUD':
+ varint = np.maximum(np.minimum(varint,1.0),0.0)
+ if varname=='RELHUM':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+
+
+ # convert varint into dataarray
+ da_varint = xr.DataArray(varint, name=varname, dims=('time','lev','lat','lon'), coords={'time': ds.time, 'lev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ ds_int[varname]=da_varint
+ ds_int['time_bnds']=ds['time_bnds']
+
+ ds_int.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.cmiplev.nc')
+
+EOF
+
+python3 plev_interpolate_CAM4.py_${1}_${2}_${3} "/work/bm0162/b380459/TRACMIP/CAM4/" "${1}.$2" "${3}"
+
+rm -f plev_interpolate_CAM4.py_${1}_${2}_${3}
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM5Nor.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM5Nor.sh
new file mode 100755
index 0000000000000000000000000000000000000000..ea74b646b617e4972310bcf699f619ce41fe54f3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_CAM5Nor.sh
@@ -0,0 +1,103 @@
+#!/bin/bash
+# note the following:
+# we use python xarray and scipy interpolation to remap 3d data to 17 CMIP5 pressure levels
+
+set -e
+
+# we use the anaconda bleeding edge python version, as it contains cftime, which allows us to circumvent the dates issues that I saw with python/3.5.2
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f plev_interpolate_CAM5Nor.py
+cat << 'EOF' >> plev_interpolate_CAM5Nor.py
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+# check if variable is in data set: only in this case go ahead with the script
+if (varname in ds.keys()):
+
+ ntim = ds.time.size
+ nlat = ds.lat.size
+ nlon = ds.lon.size
+
+ plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+ # create new dataset with vertically interpolated 3d fields
+ ds_int = xr.Dataset()
+ ds_int.attrs = ds.attrs
+
+ var = ds[varname].values
+ ps = ds['ps'].values
+ a = ds['a'].values
+ b = ds['b'].values
+ p0 = ds['p0'].values
+
+ pmid = np.zeros((ntim, 30, nlat, nlon)) + np.nan
+ for t in range(ntim):
+ for k in range(30):
+ pmid[t,k] = a[k]*p0 + b[k]*ps[t]
+
+ varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+ for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+ # if variable is cloud cover or relative humidity, then restrict to physical range of 0...100
+ if varname=='cl':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+ if varname=='hur':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+
+
+ # convert varint into dataarray
+ da_varint = xr.DataArray(varint, name=varname, dims=('time','plev','lat','lon'), coords={'time': ds.time, 'plev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ ds_int[varname]=da_varint
+ # add time_bnds if available in original file
+ if ('time_bnds' in ds.keys()):
+ ds_int['time_bnds'] = ds['time_bnds']
+ ds_int['lon_bnds'] = ds['lon_bnds']
+ ds_int['lat_bnds'] = ds['lat_bnds']
+
+ ds_int.to_netcdf(path=fpath+'/'+fname+'.cmiplev.nc')
+
+EOF
+
+# monthly fields
+#for var in cl cli clw; do
+# python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/mon/atmos/${var}/r1i1p1/" "${var}_Amon_AquaControl_amip_r1i1p1_000201-004512" "${var}"
+# python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/Amon/" "${var}_Amon_Aqua4xCO2_amip_r1i1p1_004601-008612" "${var}"
+# python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/mon/atmos/${var}/r1i1p1/" "${var}_Amon_LandControl_amip_r1i1p1_004603-008512" "${var}"
+# python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/Amon/" "${var}_Amon_Land4xCO2_amip_r1i1p1_008601-012602" "${var}"
+#done
+
+# note: there is no daily 3d cloud data, so no interpolation needed
+# daily 3d wind, humidity, geopot and temp fields are already on cmip levels
+
+# UPDATE: 6hourly data was found to be all 0/nan, so not used further here ...
+
+# 6 hourly 3d data
+for var in hus ta ua va; do
+ python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/6hr/atmos/${var}/r1i1p1/" "${var}_6hrLev_AquaControl_amip_r1i1p1_year0036-year0045" "${var}"
+ python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/A6hr/" "${var}_6hrLev_Aqua4xCO2_amip_r1i1p1_year0077-year0086" "${var}"
+ python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/6hr/atmos/${var}/r1i1p1/" "${var}_6hrLev_LandControl_amip_r1i1p1_year0076-year0085" "${var}"
+ python3 plev_interpolate_CAM5Nor.py "/work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/A6hr/" "${var}_6hrLev_Land4xCO2_amip_r1i1p1_year0116-year0125" "${var}"
+done
+
+rm -f plev_interpolate_CAM5Nor.py
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_GISS-ModelE2.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_GISS-ModelE2.sh
new file mode 100755
index 0000000000000000000000000000000000000000..04a0d899900afd9e7135ee6ae9eacc29fdb7aae4
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_GISS-ModelE2.sh
@@ -0,0 +1,85 @@
+#!/bin/bash
+# note the following:
+# we use python xarray and scipy interpolation to remap 3d data to 17 CMIP5 pressure levels
+
+set -e
+
+# we use the anaconda bleeding edge python version, as it contains cftime, which allows us to circumvent the dates issues that I saw with python/3.5.2
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f plev_interpolate_GISS-ModelE2.py
+cat << 'EOF' >> plev_interpolate_GISS-ModelE2.py
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+# check if variable is in data set: only in this case go ahead with the script
+if (varname in ds.keys()):
+
+ ntim = ds.time.size
+ nlat = ds.lat.size
+ nlon = ds.lon.size
+
+ plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+ # create new dataset with vertically interpolated 3d fields
+ ds_int = xr.Dataset()
+ ds_int.attrs = ds.attrs
+
+ var = ds[varname].values
+ ps = ds['ps'].values
+ a = ds['a'].values
+ b = ds['b'].values
+ p0 = ds['p0'].values
+
+ pmid = np.zeros((ntim, 29, nlat, nlon)) + np.nan
+ for t in range(ntim):
+ for k in range(29):
+ pmid[t,k] = a[k]*p0 + b[k]*ps[t]
+
+ varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+ for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+ # if variable is cloud cover, then restrict to physical range of 0...100
+ if varname=='cl':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+
+ # convert varint into dataarray
+ da_varint = xr.DataArray(varint, name=varname, dims=('time','plev','lat','lon'), coords={'time': ds.time, 'plev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ ds_int[varname]=da_varint
+ # add time_bnds if available in original file
+ if ('time_bnds' in ds.keys()):
+ ds_int['time_bnds'] = ds['time_bnds']
+ ds_int['lon_bnds'] = ds['lon_bnds']
+ ds_int['lat_bnds'] = ds['lat_bnds']
+
+ ds_int.to_netcdf(path=fpath+'/'+fname+'.cmiplev.nc')
+
+EOF
+
+# monthly fields
+for var in cl cli clw; do
+ python3 plev_interpolate_GISS-ModelE2.py "/work/bm0834/b380459/TRACMIP/GISS_ModelE/AquaControl/Amon/" "${var}_Amon_GISS-E2-R_aquaControl_r1i1p1011_196901-199912" "${var}"
+ python3 plev_interpolate_GISS-ModelE2.py "/work/bm0834/b380459/TRACMIP/GISS_ModelE/Aqua4xCO2/Amon/" "${var}_Amon_GISS-E2-R_aqua4xCO2_r1i1p1011_197901-201912" "${var}"
+done
+
+rm -f plev_interpolate_GISS-ModelE2.py
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_MPAS.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_MPAS.sh
new file mode 100755
index 0000000000000000000000000000000000000000..a774cac9586ff7eb9a73716b5da4f202d91256df
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_plevint_python_MPAS.sh
@@ -0,0 +1,92 @@
+#!/bin/bash
+# note the following:
+# we use python xarray and scipy interpolation to remap 3d data to 17 CMIP5 pressure levels
+
+set -e
+
+# we use the anaconda bleeding edge python version, as it contains cftime, which allows us to circumvent the dates issues that I saw with python/3.5.2
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f plev_interpolate_MPAS.py
+cat << 'EOF' >> plev_interpolate_MPAS.py
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+ntim = ds.time.size
+nlat = ds.lat.size
+nlon = ds.lon.size
+
+plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+# create new dataset with vertically interpolated 3d fields
+ds_int = xr.Dataset()
+ds_int.attrs = ds.attrs
+
+var = ds[varname].values
+pmid = ds['PMID'].values
+
+varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+# if variable is cloud cover or relative humidity, then restrict to physical range of 0..1 for CLOUD, and 0..100 for RELHUM
+if varname=='CLOUD':
+ varint = np.maximum(np.minimum(varint,1.0),0.0)
+if varname=='RELHUM':
+ varint = np.maximum(np.minimum(varint,100.0),0.0)
+
+
+# convert varint into dataarray
+da_varint = xr.DataArray(varint, name=varname, dims=('time','lev','lat','lon'), coords={'time': ds.time, 'lev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ds_int[varname]=da_varint
+
+ds_int.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.cmiplev.nc')
+
+EOF
+
+for VAR in CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3; do
+
+# AquaControl
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/AquaControl/Amon/" "Aqua_SOM_newmpas_cam4_240km.cam.h0.001601-004512" "${VAR}"
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/AquaControl/Aday/" "Aqua_SOM_newmpas_cam4_240km_daily.cam.h0.mergetime" "${VAR}"
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/AquaControl/A3hr/" "Aqua_SOM_newmpas_cam4_240km_3hrly.cam.h0.mergetime" "${VAR}"
+
+# Aqua4xCO2
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/Aqua4xCO2/Amon/" "Aqua_SOM_newmpas_cam4_240km_4xco2.cam.h0.004601-008512" "${VAR}"
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/Aqua4xCO2/Aday/" "Aqua_SOM_newmpas_cam4_240km_4xco2_daily.cam.h0.mergetime" "${VAR}"
+#python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/Aqua4xCO2/A3hr/" "Aqua_SOM_newmpas_cam4_240km_4xco2_3hrly.cam.h0.mergetime" "${VAR}"
+
+# LandControl
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/LandControl/Amon/" "Aqua_SOM_newmpas_cam4_240km_landcontrol.cam.h0.004601-008512" "${VAR}"
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/LandControl/Aday/" "Aqua_SOM_newmpas_cam4_240km_landcontrol_daily.cam.h0.mergetime" "${VAR}"
+
+# Land4xCO2
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/Land4xCO2/Amon/" "Aqua_SOM_newmpas_cam4_240km_land4xco2.cam.h0.008601-012512" "${VAR}"
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/Land4xCO2/Aday/" "Aqua_SOM_newmpas_cam4_240km_land4xco2_daily.cam.h0.mergetime" "${VAR}"
+
+# LandOrbit
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/LandOrbit/Amon/" "Aqua_SOM_newmpas_cam4_240km_landorbit.cam.h0.008601-012512" "${VAR}"
+python3 plev_interpolate_MPAS.py "/work/bm0834/b380459/TRACMIP/MPAS/LandOrbit/Aday/" "Aqua_SOM_newmpas_cam4_240km_landorbit_daily.cam.h0.mergetime" "${VAR}"
+
+done
+
+rm -f plev_interpolate_MPAS.py
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_python_fixoutput_AM21.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_python_fixoutput_AM21.sh
new file mode 100755
index 0000000000000000000000000000000000000000..7a87282e12ee11198ade938aba5e19c5ef1bf44f
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_python_fixoutput_AM21.sh
@@ -0,0 +1,140 @@
+#!/bin/bash
+# note the following:
+# we use python xarray to fix dimensions of AM21 output fields
+
+set -e
+
+# we use the anaconda bleeding edge python version
+module unload netcdf_c/4.3.2-gcc48
+module load anaconda3/bleeding_edge
+
+rm -f fixdimensions_AM21.py
+cat << 'EOF' >> fixdimensions_AM21.py
+
+import xarray as xr
+import numpy as np
+import sys
+import cftime
+import os
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+freq=sys.argv[3] # for time axis, depends on whether data is monthly, daily, or 8xdaily
+print(fpath,fname)
+
+# grid info for AM2 is missing in umiami files and thus is stored here
+lat = np.array([-89.49438, -87.97753, -85.95506, -83.93259, -81.91011, -79.88764, \
+ -77.86517, -75.8427, -73.82022, -71.79775, -69.77528, -67.75281, \
+ -65.73034, -63.70787, -61.68539, -59.66292, -57.64045, -55.61798, \
+ -53.5955, -51.57303, -49.55056, -47.52809, -45.50562, -43.48315, \
+ -41.46067, -39.4382, -37.41573, -35.39326, -33.37078, -31.34831, \
+ -29.32584, -27.30337, -25.2809, -23.25843, -21.23595, -19.21348, \
+ -17.19101, -15.16854, -13.14607, -11.1236, -9.101124, -7.078652, \
+ -5.05618, -3.033708, -1.011236, 1.011236, 3.033708, 5.05618, 7.078652, \
+ 9.101124, 11.1236, 13.14607, 15.16854, 17.19101, 19.21348, 21.23595, \
+ 23.25843, 25.2809, 27.30337, 29.32584, 31.34831, 33.37078, 35.39326, \
+ 37.41573, 39.4382, 41.46067, 43.48315, 45.50562, 47.52809, 49.55056, \
+ 51.57303, 53.5955, 55.61798, 57.64045, 59.66292, 61.68539, 63.70787, \
+ 65.73034, 67.75281, 69.77528, 71.79775, 73.82022, 75.8427, 77.86517, \
+ 79.88764, 81.91011, 83.93259, 85.95506, 87.97753, 89.49438])
+lon = np.array([1.25, 3.75, 6.25, 8.75, 11.25, 13.75, 16.25, 18.75, 21.25, 23.75, \
+ 26.25, 28.75, 31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, \
+ 51.25, 53.75, 56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, \
+ 76.25, 78.75, 81.25, 83.75, 86.25, 88.75, 91.25, 93.75, 96.25, 98.75, \
+ 101.25, 103.75, 106.25, 108.75, 111.25, 113.75, 116.25, 118.75, 121.25, \
+ 123.75, 126.25, 128.75, 131.25, 133.75, 136.25, 138.75, 141.25, 143.75, \
+ 146.25, 148.75, 151.25, 153.75, 156.25, 158.75, 161.25, 163.75, 166.25, \
+ 168.75, 171.25, 173.75, 176.25, 178.75, 181.25, 183.75, 186.25, 188.75, \
+ 191.25, 193.75, 196.25, 198.75, 201.25, 203.75, 206.25, 208.75, 211.25, \
+ 213.75, 216.25, 218.75, 221.25, 223.75, 226.25, 228.75, 231.25, 233.75, \
+ 236.25, 238.75, 241.25, 243.75, 246.25, 248.75, 251.25, 253.75, 256.25, \
+ 258.75, 261.25, 263.75, 266.25, 268.75, 271.25, 273.75, 276.25, 278.75, \
+ 281.25, 283.75, 286.25, 288.75, 291.25, 293.75, 296.25, 298.75, 301.25, \
+ 303.75, 306.25, 308.75, 311.25, 313.75, 316.25, 318.75, 321.25, 323.75, \
+ 326.25, 328.75, 331.25, 333.75, 336.25, 338.75, 341.25, 343.75, 346.25, \
+ 348.75, 351.25, 353.75, 356.25, 358.75])
+plev = np.array([1000.0, 2000.0, 3000.0, 5000.0, 7000.0, 10000.0, 15000.0, 20000.0, 25000.0, 30000.0,
+ 40000.0, 50000.0, 60000.0, 70000.0, 85000.0, 92500.0, 100000.0])
+
+# dictionary of variables' units
+dict_units={'tas':'K', 'clivi':'kg m-2', 'clt':'%', 'clwi':'kg m-2', 'evspsbl':'kg m-2 s-1', 'hfls':'W m-2', 'hfss':'W m-2',
+ 'hurs':'%', 'huss':'kg/kg', 'pr':'kg m-2 s-1', 'prc':'kg m-2 s-1', 'prsn':'kg m-2 s-1','prw':'kg m-2', 'ps':'Pa',
+ 'psl':'Pa', 'rlds':'W m-2', 'rldscs':'W m-2', 'rlus':'W m-2', 'rlut':'W m-2', 'rlutcs':'W m-2', 'rsds':'W m-2',
+ 'rsdscs':'W m-2', 'rsdt':'W m-2', 'rsus':'W m-2', 'rsuscs':'W m-2',
+ 'rsut':'W m-2', 'rsutcs':'W m-2', 'rtmt':'W m-2', 'sfcWind':'m/s', 'tauu':'Pa', 'tauv':'Pa', 'ts':'K',
+ 'uas':'m/s', 'vas':'m/s',
+ 'hur':'%','hus':'kg/kg', 'ta':'K', 'ua':'m/s', 'va':'m/s', 'wap':'Pa/s', 'zg':'m', 'cl':'1', 'cli':'kg m-2', 'clw':'kg m-2'}
+
+# dictionary of variables' directon
+dict_direct={'tas':' ', 'clivi':' ', 'clt':' ', 'clwi':' ', 'evspsbl':' ', 'hfls':'u', 'hfss':'u',
+ 'hurs':' ', 'huss':' ', 'pr':' ', 'prc':' ', 'prsn':' ','prw':' ', 'ps':' ',
+ 'psl':' ', 'rlds':'d', 'rldscs':'d', 'rlus':'u', 'rlut':'u', 'rlutcs':'u', 'rsds':'d',
+ 'rsdscs':'d', 'rsdt':'d', 'rsus':'u', 'rsuscs':'u',
+ 'rsut':'u', 'rsutcs':'u', 'rtmt':'d', 'sfcWind':' ', 'tauu':'d', 'tauv':'d', 'ts':' ',
+ 'uas':' ', 'vas':' ',
+ 'hur':' ','hus':' ', 'ta':' ', 'ua':' ', 'va':' ', 'wap':' ', 'zg':' ', 'cl':' ', 'cli':' ', 'clw':' '}
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+varname_list2d=['tas', 'clivi', 'clt', 'clwi', 'evspsbl', 'hfls', 'hfss', 'hurs', 'huss', 'pr', 'prc', 'prsn', 'prw', 'ps',
+ 'psl', 'rlds', 'rldscs', 'rlus', 'rlut', 'rlutcs', 'rsds', 'rsdscs', 'rsdt', 'rsus', 'rsuscs',
+ 'rsut', 'rsutcs', 'rtmt', 'sfcWind', 'tauu', 'tauv', 'ts', 'uas', 'vas']
+
+varname_list3d=['hur', 'hus', 'ta', 'ua', 'va', 'wap', 'zg', 'cl', 'cli', 'clw']
+
+for varname in varname_list2d:
+
+ # check if variable is in data set: only in this case go ahead with the script
+ if (varname in ds.keys()):
+
+ #ntim = ds['time'].values.size
+ ntim = ds[varname].values.shape[0]
+ if freq=='month':
+ time = cftime.num2date(30*np.arange(ntim), units='days since 0001-01-16,00:00:00', calendar='360_day')
+ elif freq=='daily':
+ time = cftime.num2date(np.arange(ntim), units='days since 0001-01-01,12:00:00', calendar='360_day')
+ elif freq=='8xdaily':
+ time = cftime.num2date(np.arange(ntim), units='hours since 0001-01-01,01:30:00', calendar='360_day')
+
+ # create new dataset with variable having fixed dimensions, and save to disk as netcdf
+ ds_new = xr.Dataset()
+ # convert varint into dataarray
+ da_varnew = xr.DataArray(ds[varname].values, name=varname, dims=('time','lat','lon'),
+ coords={'time': time, 'lat': lat, 'lon': lon},
+ attrs={'units': dict_units.get(varname), 'p': dict_direct.get(varname)})
+ ds_new[varname]=da_varnew
+ ds_new.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.fixed_dimensions.nc')
+
+for varname in varname_list3d:
+
+ # check if variable is in data set: only in this case go ahead with the script
+ if (varname in ds.keys()):
+
+ #ntim = ds['time'].values.size
+ ntim = ds[varname].values.shape[0]
+ if freq=='month':
+ time = cftime.num2date(30*np.arange(ntim), units='days since 0001-01-16,00:00:00', calendar='360_day')
+ elif freq=='daily':
+ time = cftime.num2date(np.arange(ntim), units='days since 0001-01-01,12:00:00', calendar='360_day')
+ elif freq=='8xdaily':
+ time = cftime.num2date(np.arange(ntim), units='hours since 0001-01-01,01:30:00', calendar='360_day')
+
+ # create new dataset with variable having fixed dimensions, and save to disk as netcdf
+ ds_new = xr.Dataset()
+ # convert varint into dataarray
+ da_varnew = xr.DataArray(ds[varname].values, name=varname, dims=('time','plev','lat','lon'), coords={'time': time, 'plev': plev, 'lat': lat, 'lon': lon})
+ ds_new[varname]=da_varnew
+ ds_new.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.fixed_dimensions.nc')
+
+EOF
+
+# there is no LandOrbit data
+for EXPID in AquaControl Aqua4xCO2 LandControl Land4xCO2; do
+
+ python3 fixdimensions_AM21.py "/work/bm0834/b380459/TRACMIP/AM2/${EXPID}" "${EXPID}_month" "month"
+ python3 fixdimensions_AM21.py "/work/bm0834/b380459/TRACMIP/AM2/${EXPID}" "${EXPID}_daily" "daily"
+ python3 fixdimensions_AM21.py "/work/bm0834/b380459/TRACMIP/AM2/${EXPID}" "${EXPID}_8xdaily" "8xdaily"
+
+done
+
+rm -f fixdimensions_AM21.py
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_select10years_6hrlydata_CAM5Nor.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_select10years_6hrlydata_CAM5Nor.sh
new file mode 100755
index 0000000000000000000000000000000000000000..e22f01d7a3b3306a2d515554d36cd96edce2b03c
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/call_select10years_6hrlydata_CAM5Nor.sh
@@ -0,0 +1,32 @@
+#!/bin/bash
+
+echo "UPDATE: 6hourly data is all 0/nan, so not used further ... but 6hrly Cam5Nor scripts kept for reference ..."
+
+set -xe
+
+# daily data: select only last 10 years via ncks
+module load nco/4.7.5-gcc64
+
+#for var in hus ps ta ua va; do
+#
+# ncks -O -d time,'0036-01-01','0045-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/6hr/atmos/${var}/r1i1p1/${var}_6hrLev_AquaControl_amip_r1i1p1_0002010103-0045123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/6hr/atmos/${var}/r1i1p1/${var}_6hrLev_AquaControl_amip_r1i1p1_year0036-year0045.nc
+#
+# ncks -O -d time,'0077-01-01','0086-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/A6hr/${var}_6hrLev_Aqua4xCO2_amip_r1i1p1_0046010103-0086123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/A6hr/${var}_6hrLev_Aqua4xCO2_amip_r1i1p1_year0077-year0086.nc
+#
+# ncks -O -d time,'0076-01-01','0085-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/6hr/atmos/${var}/r1i1p1/${var}_6hrLev_LandControl_amip_r1i1p1_0046030121-0085123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/6hr/atmos/${var}/r1i1p1/${var}_6hrLev_LandControl_amip_r1i1p1_year0076-year0085.nc
+#
+# ncks -O -d time,'0116-01-01','0125-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/A6hr/${var}_6hrLev_Land4xCO2_amip_r1i1p1_0086010103-0126022821.nc /work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/A6hr/${var}_6hrLev_Land4xCO2_amip_r1i1p1_year0116-year0125.nc
+#
+#done
+
+for var in psl; do
+
+ ncks -O -d time,'0036-01-01','0045-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/6hr/atmos/psl/r1i1p1/psl_6hrPlev_AquaControl_amip_r1i1p1_0002010103-0045123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/AquaControl/amip/6hr/atmos/psl/r1i1p1/psl_6hrPlev_AquaControl_amip_r1i1p1_year0036-year0045.nc
+
+ ncks -O -d time,'0077-01-01','0086-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/A6hr/psl_6hrPlev_Aqua4xCO2_amip_r1i1p1_0046010103-0086123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/Aqua4xCO2/A6hr/psl_6hrPlev_Aqua4xCO2_amip_r1i1p1_year0077-year0086.nc
+
+ ncks -O -d time,'0076-01-01','0085-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/6hr/atmos/psl/r1i1p1/psl_6hrPlev_LandControl_amip_r1i1p1_0046030121-0085123121.nc /work/bm0162/b380459/TRACMIP/NorESM2/LandControl/amip/6hr/atmos/psl/r1i1p1/psl_6hrPlev_LandControl_amip_r1i1p1_year0076-year0085.nc
+
+ ncks -O -d time,'0116-01-01','0125-12-31' /work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/A6hr/psl_6hrPlev_Land4xCO2_amip_r1i1p1_0086010103-0126022821.nc /work/bm0162/b380459/TRACMIP/NorESM2/Land4xCO2/A6hr/psl_6hrPlev_Land4xCO2_amip_r1i1p1_year0116-year0125.nc
+
+done
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/interpolate.py b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/interpolate.py
new file mode 100644
index 0000000000000000000000000000000000000000..a69ea38e781c4efd2f57c091191ac6969e7f2e22
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/interpolate.py
@@ -0,0 +1,44 @@
+
+import xarray as xr
+import numpy as np
+from scipy import interpolate
+import sys
+
+fpath=sys.argv[1]
+fname=sys.argv[2]
+varname=sys.argv[3]
+print(fpath,fname)
+
+ds = xr.open_dataset(fpath+'/'+fname+'.nc')
+
+ntim = ds.time.size
+nlat = ds.lat.size
+nlon = ds.lon.size
+
+plev_int = ( [100000.0, 92500.0, 85000.0, 70000.0, 60000.0, 50000.0, 40000.0, 30000.0, 25000.0, 20000.0, 15000.0, 10000.0,
+ 7000.0, 5000.0, 3000.0, 2000.0, 1000.0] )
+
+# create new dataset with vertically interpolated 3d fields
+ds_int = xr.Dataset()
+ds_int.attrs = ds.attrs
+
+var = ds[varname].values
+pmid = ds['PMID'].values
+
+varint = np.zeros((ntim, 17, nlat, nlon)) + np.nan
+
+for t in range(ntim):
+ if (t%100==0):
+ print(fname, varname, t)
+ for j in range(nlat):
+ for i in range(nlon):
+ f_int = interpolate.interp1d(pmid[t,:,j,i], var[t,:,j,i], bounds_error=False, kind='linear', fill_value='extrapolate')
+ varint[t,:,j,i] = f_int(plev_int)
+
+# convert varint into dataarray
+da_varint = xr.DataArray(varint, name=varname, dims=('time','lev','lat','lon'), coords={'time': ds.time, 'lev': plev_int, 'lat': ds.lat, 'lon': ds.lon})
+
+ds_int[varname]=da_varint
+
+ds_int.to_netcdf(path=fpath+'/'+fname+'.'+varname+'.cmiplev.nc')
+
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_cdocmor_CAM4.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_cdocmor_CAM4.sh
new file mode 100755
index 0000000000000000000000000000000000000000..e0b98ad036172db49c0c147621fef063c9bb4cb3
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_cdocmor_CAM4.sh
@@ -0,0 +1,5 @@
+for EXPID in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+ for STREAM in Amon Aday A3hr; do
+ sbatch call_cdocmor_CAM4.sh ${EXPID} ${STREAM}
+ done
+done
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_plevint_python_CAM4.sh b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_plevint_python_CAM4.sh
new file mode 100755
index 0000000000000000000000000000000000000000..9e04b3ca25769b0002d45e94bdb249f2f5db8bf5
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/launch_subjobs_plevint_python_CAM4.sh
@@ -0,0 +1,7 @@
+for EXPID in AquaControl Aqua4xCO2 LandControl Land4xCO2 LandOrbit; do
+ for STREAM in monthly daily 3hourly; do
+ for VAR in CLOUD CLDICE CLDLIQ RELHUM Q T U V OMEGA Z3; do
+ sbatch call_plevint_python_CAM4.sh_EXPID_STREAM_VAR_commandline ${EXPID} ${STREAM} ${VAR}
+ done
+ done
+done
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/zaxisdes_cmiplev.txt b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/zaxisdes_cmiplev.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5aeac8dd63135cb0f1faa43fca8ee2130c7338e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/cdoscripts/zaxisdes_cmiplev.txt
@@ -0,0 +1,10 @@
+#
+# zaxisID 1
+#
+zaxistype = pressure
+size = 17
+name = plev
+longname = "pressure"
+units = "Pa"
+levels = 100000 92500 85000 70000 60000 50000 40000 30000 25000 20000 15000 10000
+ 7000 5000 3000 2000 1000
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/.ipynb_checkpoints/MIROC5_check_ml2pl_3dclouds-checkpoint.ipynb b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/.ipynb_checkpoints/MIROC5_check_ml2pl_3dclouds-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..7bf070c9d9de38349b502fed09b2c91a623d947e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/.ipynb_checkpoints/MIROC5_check_ml2pl_3dclouds-checkpoint.ipynb
@@ -0,0 +1,215 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Check 3d cloud ml2pl interpolation for MIROC5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import xarray as xr\n",
+ "import matplotlib\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# mathematical and physical constants\n",
+ "rad2deg = 180.0/np.pi\n",
+ "deg2rad = np.pi/180"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path = '/work/bm0162/b380459/TRACMIP/MIROC5/AquaControl/Aday/'\n",
+ "\n",
+ "ds_cl_eta = ( xr.open_dataset(path+'cl_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc', decode_times=False).\n",
+ " isel(time=[0])['cl'] )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds_ps = ( xr.open_dataset(path+'ps_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc', decode_times=False).\n",
+ " isel(time=[0])['cl'] )['ps']\n",
+ "\n",
+ "ds_vct= xr.open_dataset('/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/MIROC5/miroc5_tracmip_hybrid_coef.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds_cl_plev = ( xr.open_dataset(path+'cl_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc_plevels', decode_times=False).\n",
+ " isel(time=[0])['cl'] )['cl']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.DataArray 'cl' (time: 360, HETA40: 40, lat: 128, lon: 256)>\n",
+ "[471859200 values with dtype=float64]\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 0.0 1.406 2.812 4.219 5.625 7.031 8.438 9.844 ...\n",
+ " * lat (lat) float64 88.93 87.54 86.14 84.74 83.34 81.94 80.54 79.14 ...\n",
+ " * HETA40 (HETA40) float64 0.9975 0.9915 0.983 0.972 0.9585 0.942 0.9225 ...\n",
+ " * time (time) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 ...\n",
+ "Attributes:\n",
+ " units: 1\n",
+ " grid_type: gaussian\n",
+ " orignal_name: CLDFRC"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_cl_eta"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.DataArray 'cl' (time: 360, lev: 17, lat: 128, lon: 256)>\n",
+ "[200540160 values with dtype=float64]\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 0.0 1.406 2.812 4.219 5.625 7.031 8.438 9.844 ...\n",
+ " * lat (lat) float64 88.93 87.54 86.14 84.74 83.34 81.94 80.54 79.14 ...\n",
+ " * lev (lev) float64 1e+03 2e+03 3e+03 5e+03 7e+03 1e+04 1.5e+04 2e+04 ...\n",
+ " * time (time) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 ...\n",
+ "Attributes:\n",
+ " units: 1\n",
+ " grid_type: gaussian\n",
+ " orignal_name: CLDFRC"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_cl_plev"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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HXEmIN9TkDznr1sHhw7ntq1Tx31vjfTRqVIb2RrTWpbPbb3fTqRo3dmNo7dq5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\n1J883sOTLhEAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x2adb103084a8>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "itim=3\n",
+ "ilat=67\n",
+ "ilon=54\n",
+ "\n",
+ "plt.plot(ds_cl_eta[itim ,::-1,ilat,ilon], 100*ds_ps[itim,ilat,ilon].values*ds_vct['hybm'].values+ds_vct['hyam'].values, 'rx-')\n",
+ "plt.plot(ds_cl_plev[itim,: ,ilat,ilon], ds_cl_plev.lev, 'bx-')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (ncl0: 40, ncl1: 40)\n",
+ "Dimensions without coordinates: ncl0, ncl1\n",
+ "Data variables:\n",
+ " hyam (ncl0) float32 290.47 1060.3 1861.3 2659.3 3361.3 4015.8 4693.7 ...\n",
+ " hybm (ncl1) float32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ..."
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_vct"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0.0274995 , 0.10264 , 0.18492 , 0.27908 , 0.3847 ,\n",
+ " 0.48374999, 0.56483001, 0.63428003, 0.69215 , 0.73987001,\n",
+ " 0.78178 , 0.82080001, 0.85620999, 0.88800001, 0.91618001,\n",
+ " 0.94002998, 0.95954001, 0.97543001, 0.98772001, 0.99638999], dtype=float32)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_vct['hybm'].values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (using the module python/3.5.2)",
+ "language": "python",
+ "name": "python_3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/MIROC5_check_ml2pl_3dclouds.ipynb b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/MIROC5_check_ml2pl_3dclouds.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..7bf070c9d9de38349b502fed09b2c91a623d947e
--- /dev/null
+++ b/cmorizing/TRACMIP_Cmorizing_Mistral_20191009/python3/MIROC5_check_ml2pl_3dclouds.ipynb
@@ -0,0 +1,215 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Check 3d cloud ml2pl interpolation for MIROC5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import xarray as xr\n",
+ "import matplotlib\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# mathematical and physical constants\n",
+ "rad2deg = 180.0/np.pi\n",
+ "deg2rad = np.pi/180"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path = '/work/bm0162/b380459/TRACMIP/MIROC5/AquaControl/Aday/'\n",
+ "\n",
+ "ds_cl_eta = ( xr.open_dataset(path+'cl_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc', decode_times=False).\n",
+ " isel(time=[0])['cl'] )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds_ps = ( xr.open_dataset(path+'ps_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc', decode_times=False).\n",
+ " isel(time=[0])['cl'] )['ps']\n",
+ "\n",
+ "ds_vct= xr.open_dataset('/pf/b/b380459/TRACMIP_Cmorizing/cdocmor_input/MIROC5/miroc5_tracmip_hybrid_coef.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds_cl_plev = ( xr.open_dataset(path+'cl_Aday_MIROC5_AquaControl_r1i1p1_10360101-10451230.nc_plevels', decode_times=False).\n",
+ " isel(time=[0])['cl'] )['cl']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.DataArray 'cl' (time: 360, HETA40: 40, lat: 128, lon: 256)>\n",
+ "[471859200 values with dtype=float64]\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 0.0 1.406 2.812 4.219 5.625 7.031 8.438 9.844 ...\n",
+ " * lat (lat) float64 88.93 87.54 86.14 84.74 83.34 81.94 80.54 79.14 ...\n",
+ " * HETA40 (HETA40) float64 0.9975 0.9915 0.983 0.972 0.9585 0.942 0.9225 ...\n",
+ " * time (time) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 ...\n",
+ "Attributes:\n",
+ " units: 1\n",
+ " grid_type: gaussian\n",
+ " orignal_name: CLDFRC"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_cl_eta"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.DataArray 'cl' (time: 360, lev: 17, lat: 128, lon: 256)>\n",
+ "[200540160 values with dtype=float64]\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 0.0 1.406 2.812 4.219 5.625 7.031 8.438 9.844 ...\n",
+ " * lat (lat) float64 88.93 87.54 86.14 84.74 83.34 81.94 80.54 79.14 ...\n",
+ " * lev (lev) float64 1e+03 2e+03 3e+03 5e+03 7e+03 1e+04 1.5e+04 2e+04 ...\n",
+ " * time (time) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 ...\n",
+ "Attributes:\n",
+ " units: 1\n",
+ " grid_type: gaussian\n",
+ " orignal_name: CLDFRC"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_cl_plev"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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HXEmIN9TkDznr1sHhw7ntq1Tx31vjfTRqVIb2RrTWpbPbb3fTqRo3dmNo7dq5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\n1J883sOTLhEAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x2adb103084a8>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "itim=3\n",
+ "ilat=67\n",
+ "ilon=54\n",
+ "\n",
+ "plt.plot(ds_cl_eta[itim ,::-1,ilat,ilon], 100*ds_ps[itim,ilat,ilon].values*ds_vct['hybm'].values+ds_vct['hyam'].values, 'rx-')\n",
+ "plt.plot(ds_cl_plev[itim,: ,ilat,ilon], ds_cl_plev.lev, 'bx-')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (ncl0: 40, ncl1: 40)\n",
+ "Dimensions without coordinates: ncl0, ncl1\n",
+ "Data variables:\n",
+ " hyam (ncl0) float32 290.47 1060.3 1861.3 2659.3 3361.3 4015.8 4693.7 ...\n",
+ " hybm (ncl1) float32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ..."
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_vct"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0. , 0. , 0. , 0. , 0. ,\n",
+ " 0.0274995 , 0.10264 , 0.18492 , 0.27908 , 0.3847 ,\n",
+ " 0.48374999, 0.56483001, 0.63428003, 0.69215 , 0.73987001,\n",
+ " 0.78178 , 0.82080001, 0.85620999, 0.88800001, 0.91618001,\n",
+ " 0.94002998, 0.95954001, 0.97543001, 0.98772001, 0.99638999], dtype=float32)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds_vct['hybm'].values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (using the module python/3.5.2)",
+ "language": "python",
+ "name": "python_3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
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diff --git a/ramadda/calc_clt_latlontimemean.py b/ramadda/calc_clt_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..b9a3f6dea0fbc94a25966b98b22b74d75a82c706
--- /dev/null
+++ b/ramadda/calc_clt_latlontimemean.py
@@ -0,0 +1,29 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+clt_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'clt')
+clt_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'clt')
+clt_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'clt')
+clt_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'clt')
+clt_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'clt')
+
+# clt needs to be in units of 0-100%, so we need to convert from fraction to percent for
+# CAM3, CAM4, LMDz5A, MIROC5, and MPAS
+clt_aqct[[3,6,8,9,10]]=100*clt_aqct[[3,6,8,9,10]]
+clt_aq4x[[3,6,8,9,10]]=100*clt_aq4x[[3,6,8,9,10]]
+clt_ldct[[3,6,8,9,10]]=100*clt_ldct[[3,6,8,9,10]]
+clt_ld4x[[3,6,8,9,10]]=100*clt_ld4x[[3,6,8,9,10]]
+clt_ldor[[3,6,8,9,10]]=100*clt_ldor[[3,6,8,9,10]]
+
+# saving data for later use
+print('Saving lat-lon time mean total cloud cover')
+np.savez('clt_latlontimemean.npz', \
+ **{'clt_aqct':clt_aqct, 'clt_aq4x':clt_aq4x, 'clt_ldct':clt_ldct, \
+ 'clt_ld4x':clt_ld4x, 'clt_ldor':clt_ldor, 'lat':lat, 'lon':lon})
diff --git a/ramadda/calc_postdata.py b/ramadda/calc_postdata.py
new file mode 100644
index 0000000000000000000000000000000000000000..e1e98a75968bc588a6f1df297d7feda3b33102ac
--- /dev/null
+++ b/ramadda/calc_postdata.py
@@ -0,0 +1,24 @@
+# load modules
+
+# load own modules
+#import sys
+#sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import calc_pr_globaltimemean
+import calc_pr_zonaltimemean
+import calc_pr_zonalmonthmean
+import calc_pr_latlontimemean
+import calc_pr_latlonmonthmean
+import calc_ts_globaltimemean
+import calc_ts_zonaltimemean
+import calc_ts_zonalmonthmean
+import calc_ts_latlontimemean
+import calc_rsdt_zonalmonthmean
+import calc_rsdscs_zonaltimemean
+import calc_rsdscs_latlontimemean
+import calc_rsuscs_zonaltimemean
+import calc_rsuscs_latlontimemean
+import calc_ua_zonaltimemean_plevels
+import calc_va_zonaltimemean_plevels
+
diff --git a/ramadda/calc_pr_globaltimemean.py b/ramadda/calc_pr_globaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..3162d6e83f3e8c0a1a858ec1fe255c2661c6be92
--- /dev/null
+++ b/ramadda/calc_pr_globaltimemean.py
@@ -0,0 +1,54 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+pr_aqct = loaddata.get_data_gmtm('AQUA' , 'pr')
+pr_aq4x = loaddata.get_data_gmtm('AQUACO2', 'pr')
+pr_ldct = loaddata.get_data_gmtm('LAND' , 'pr')
+pr_ld4x = loaddata.get_data_gmtm('LANDCO2', 'pr')
+pr_ldor = loaddata.get_data_gmtm('LORBIT' , 'pr')
+
+# for cam3, cam4 and mpas precip must be reconstructed from convective and large-scale components
+# convective precip
+prc_aqct = loaddata.get_data_gmtm('AQUA' , 'prc')
+prc_aq4x = loaddata.get_data_gmtm('AQUACO2', 'prc')
+prc_ldct = loaddata.get_data_gmtm('LAND' , 'prc')
+prc_ld4x = loaddata.get_data_gmtm('LANDCO2', 'prc')
+prc_ldor = loaddata.get_data_gmtm('LORBIT' , 'prc')
+# large-scale precip
+prl_aqct = loaddata.get_data_gmtm('AQUA' , 'prl')
+prl_aq4x = loaddata.get_data_gmtm('AQUACO2', 'prl')
+prl_ldct = loaddata.get_data_gmtm('LAND' , 'prl')
+prl_ld4x = loaddata.get_data_gmtm('LANDCO2', 'prl')
+prl_ldor = loaddata.get_data_gmtm('LORBIT' , 'prl')
+# cam3, cam4 and mpas have model indices 8, 9, 10
+pr_aqct[8:11] = prc_aqct[8:11] + prl_aqct[8:11]
+pr_aq4x[8:11] = prc_aq4x[8:11] + prl_aq4x[8:11]
+pr_ldct[8:11] = prc_ldct[8:11] + prl_ldct[8:11]
+pr_ld4x[8:11] = prc_ld4x[8:11] + prl_ld4x[8:11]
+pr_ldor[8:11] = prc_ldor[8:11] + prl_ldor[8:11]
+
+# convert precip to mm/day
+pr_aqct = 86400 * pr_aqct
+pr_aq4x = 86400 * pr_aq4x
+pr_ldct = 86400 * pr_ldct
+pr_ld4x = 86400 * pr_ld4x
+pr_ldor = 86400 * pr_ldor
+# for cam3, cam4 and mpas we also need to multiply by 1000
+pr_aqct[8:11] = 1000*pr_aqct[8:11]
+pr_aq4x[8:11] = 1000*pr_aq4x[8:11]
+pr_ldct[8:11] = 1000*pr_ldct[8:11]
+pr_ld4x[8:11] = 1000*pr_ld4x[8:11]
+pr_ldor[8:11] = 1000*pr_ldor[8:11]
+
+# saving data for later use
+print('Saving global time mean pr')
+np.savez('pr_globaltimemean.npz', \
+ **{'pr_aqct':pr_aqct, 'pr_aq4x':pr_aq4x, 'pr_ldct':pr_ldct, \
+ 'pr_ld4x':pr_ld4x, 'pr_ldor':pr_ldor} )
diff --git a/ramadda/calc_pr_latlonmonthmean.py b/ramadda/calc_pr_latlonmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c9ef2a87912b944b03dbcf0563f8c956a43e1b6
--- /dev/null
+++ b/ramadda/calc_pr_latlonmonthmean.py
@@ -0,0 +1,55 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+pr_aqct, lat, lon = loaddata.get_data_latlonmm('AQUA' , 'pr')
+pr_aq4x, _ , _ = loaddata.get_data_latlonmm('AQUACO2', 'pr')
+pr_ldct, _ , _ = loaddata.get_data_latlonmm('LAND' , 'pr')
+pr_ld4x, _ , _ = loaddata.get_data_latlonmm('LANDCO2', 'pr')
+pr_ldor, _ , _ = loaddata.get_data_latlonmm('LORBIT' , 'pr')
+
+# for cam3, cam4 and mpas precip must be reconstructed from convective and large-scale components
+# convective precip
+prc_aqct, _, _ = loaddata.get_data_latlonmm('AQUA' , 'prc')
+prc_aq4x, _, _ = loaddata.get_data_latlonmm('AQUACO2', 'prc')
+prc_ldct, _, _ = loaddata.get_data_latlonmm('LAND' , 'prc')
+prc_ld4x, _, _ = loaddata.get_data_latlonmm('LANDCO2', 'prc')
+prc_ldor, _, _ = loaddata.get_data_latlonmm('LORBIT' , 'prc')
+# large-scale precip
+prl_aqct, _, _ = loaddata.get_data_latlonmm('AQUA' , 'prl')
+prl_aq4x, _, _ = loaddata.get_data_latlonmm('AQUACO2', 'prl')
+prl_ldct, _, _ = loaddata.get_data_latlonmm('LAND' , 'prl')
+prl_ld4x, _, _ = loaddata.get_data_latlonmm('LANDCO2', 'prl')
+prl_ldor, _, _ = loaddata.get_data_latlonmm('LORBIT' , 'prl')
+# cam3, cam4 and mpas have model indices 8, 9, 10
+pr_aqct[8:11, :, :] = prc_aqct[8:11, :, :] + prl_aqct[8:11, :, :]
+pr_aq4x[8:11, :, :] = prc_aq4x[8:11, :, :] + prl_aq4x[8:11, :, :]
+pr_ldct[8:11, :, :] = prc_ldct[8:11, :, :] + prl_ldct[8:11, :, :]
+pr_ld4x[8:11, :, :] = prc_ld4x[8:11, :, :] + prl_ld4x[8:11, :, :]
+pr_ldor[8:11, :, :] = prc_ldor[8:11, :, :] + prl_ldor[8:11, :, :]
+
+# convert precip to mm/day
+pr_aqct = 86400 * pr_aqct
+pr_aq4x = 86400 * pr_aq4x
+pr_ldct = 86400 * pr_ldct
+pr_ld4x = 86400 * pr_ld4x
+pr_ldor = 86400 * pr_ldor
+# for cam3, cam4 and mpas we also need to multiply by 1000
+pr_aqct[8:11, :, :] = 1000*pr_aqct[8:11, :, :]
+pr_aq4x[8:11, :, :] = 1000*pr_aq4x[8:11, :, :]
+pr_ldct[8:11, :, :] = 1000*pr_ldct[8:11, :, :]
+pr_ld4x[8:11, :, :] = 1000*pr_ld4x[8:11, :, :]
+pr_ldor[8:11, :, :] = 1000*pr_ldor[8:11, :, :]
+
+# saving data for later use
+print('Saving lat-lon monthly mean pr')
+np.savez('pr_latlonmonthmean.npz', \
+ **{'pr_aqct':pr_aqct, 'pr_aq4x':pr_aq4x, 'pr_ldct':pr_ldct, \
+ 'pr_ld4x':pr_ld4x, 'pr_ldor':pr_ldor, 'lat':lat, 'lon':lon} )
diff --git a/ramadda/calc_pr_latlontimemean.py b/ramadda/calc_pr_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..fa52f6287dbacaf32554764e343c6a600402ba70
--- /dev/null
+++ b/ramadda/calc_pr_latlontimemean.py
@@ -0,0 +1,55 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+pr_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'pr')
+pr_aq4x, _ , _ = loaddata.get_data_latlontm('AQUACO2', 'pr')
+pr_ldct, _ , _ = loaddata.get_data_latlontm('LAND' , 'pr')
+pr_ld4x, _ , _ = loaddata.get_data_latlontm('LANDCO2', 'pr')
+pr_ldor, _ , _ = loaddata.get_data_latlontm('LORBIT' , 'pr')
+
+# for cam3, cam4 and mpas precip must be reconstructed from convective and large-scale components
+# convective precip
+prc_aqct, _, _ = loaddata.get_data_latlontm('AQUA' , 'prc')
+prc_aq4x, _, _ = loaddata.get_data_latlontm('AQUACO2', 'prc')
+prc_ldct, _, _ = loaddata.get_data_latlontm('LAND' , 'prc')
+prc_ld4x, _, _ = loaddata.get_data_latlontm('LANDCO2', 'prc')
+prc_ldor, _, _ = loaddata.get_data_latlontm('LORBIT' , 'prc')
+# large-scale precip
+prl_aqct, _, _ = loaddata.get_data_latlontm('AQUA' , 'prl')
+prl_aq4x, _, _ = loaddata.get_data_latlontm('AQUACO2', 'prl')
+prl_ldct, _, _ = loaddata.get_data_latlontm('LAND' , 'prl')
+prl_ld4x, _, _ = loaddata.get_data_latlontm('LANDCO2', 'prl')
+prl_ldor, _, _ = loaddata.get_data_latlontm('LORBIT' , 'prl')
+# cam3, cam4 and mpas have model indices 8, 9, 10
+pr_aqct[8:11, :, :] = prc_aqct[8:11, :, :] + prl_aqct[8:11, :, :]
+pr_aq4x[8:11, :, :] = prc_aq4x[8:11, :, :] + prl_aq4x[8:11, :, :]
+pr_ldct[8:11, :, :] = prc_ldct[8:11, :, :] + prl_ldct[8:11, :, :]
+pr_ld4x[8:11, :, :] = prc_ld4x[8:11, :, :] + prl_ld4x[8:11, :, :]
+pr_ldor[8:11, :, :] = prc_ldor[8:11, :, :] + prl_ldor[8:11, :, :]
+
+# convert precip to mm/day
+pr_aqct = 86400 * pr_aqct
+pr_aq4x = 86400 * pr_aq4x
+pr_ldct = 86400 * pr_ldct
+pr_ld4x = 86400 * pr_ld4x
+pr_ldor = 86400 * pr_ldor
+# for cam3, cam4 and mpas we also need to multiply by 1000
+pr_aqct[8:11, :, :] = 1000*pr_aqct[8:11, :, :]
+pr_aq4x[8:11, :, :] = 1000*pr_aq4x[8:11, :, :]
+pr_ldct[8:11, :, :] = 1000*pr_ldct[8:11, :, :]
+pr_ld4x[8:11, :, :] = 1000*pr_ld4x[8:11, :, :]
+pr_ldor[8:11, :, :] = 1000*pr_ldor[8:11, :, :]
+
+# saving data for later use
+print('Saving lat-lon time mean pr')
+np.savez('pr_latlontimemean.npz', \
+ **{'pr_aqct':pr_aqct, 'pr_aq4x':pr_aq4x, 'pr_ldct':pr_ldct, \
+ 'pr_ld4x':pr_ld4x, 'pr_ldor':pr_ldor, 'lat':lat, 'lon':lon} )
diff --git a/ramadda/calc_pr_zonalmonthmean.py b/ramadda/calc_pr_zonalmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..425ed9bb11de5a0d738fd895320c924c681f852e
--- /dev/null
+++ b/ramadda/calc_pr_zonalmonthmean.py
@@ -0,0 +1,55 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+pr_aqct, lat = loaddata.get_data_zmmm('AQUA' , 'pr')
+pr_aq4x, _ = loaddata.get_data_zmmm('AQUACO2', 'pr')
+pr_ldct, _ = loaddata.get_data_zmmm('LAND' , 'pr')
+pr_ld4x, _ = loaddata.get_data_zmmm('LANDCO2', 'pr')
+pr_ldor, _ = loaddata.get_data_zmmm('LORBIT' , 'pr')
+
+# for cam3 and cam4 precip must be reconstructed from convective and large-scale components
+# convective precip
+prc_aqct, _ = loaddata.get_data_zmmm('AQUA' , 'prc')
+prc_aq4x, _ = loaddata.get_data_zmmm('AQUACO2', 'prc')
+prc_ldct, _ = loaddata.get_data_zmmm('LAND' , 'prc')
+prc_ld4x, _ = loaddata.get_data_zmmm('LANDCO2', 'prc')
+prc_ldor, _ = loaddata.get_data_zmmm('LORBIT' , 'prc')
+# large-scale precip
+prl_aqct, _ = loaddata.get_data_zmmm('AQUA' , 'prl')
+prl_aq4x, _ = loaddata.get_data_zmmm('AQUACO2', 'prl')
+prl_ldct, _ = loaddata.get_data_zmmm('LAND' , 'prl')
+prl_ld4x, _ = loaddata.get_data_zmmm('LANDCO2', 'prl')
+prl_ldor, _ = loaddata.get_data_zmmm('LORBIT' , 'prl')
+# cam3, cam4 and mpas have model indices 8, 9, 10
+pr_aqct[8:11] = prc_aqct[8:11] + prl_aqct[8:11]
+pr_aq4x[8:11] = prc_aq4x[8:11] + prl_aq4x[8:11]
+pr_ldct[8:11] = prc_ldct[8:11] + prl_ldct[8:11]
+pr_ld4x[8:11] = prc_ld4x[8:11] + prl_ld4x[8:11]
+pr_ldor[8:11] = prc_ldor[8:11] + prl_ldor[8:11]
+
+# convert precip to mm/day
+pr_aqct = 86400 * pr_aqct
+pr_aq4x = 86400 * pr_aq4x
+pr_ldct = 86400 * pr_ldct
+pr_ld4x = 86400 * pr_ld4x
+pr_ldor = 86400 * pr_ldor
+# for cam3, cam4 and mpas we also need to multiply by 1000
+pr_aqct[8:11] = 1000*pr_aqct[8:11]
+pr_aq4x[8:11] = 1000*pr_aq4x[8:11]
+pr_ldct[8:11] = 1000*pr_ldct[8:11]
+pr_ld4x[8:11] = 1000*pr_ld4x[8:11]
+pr_ldor[8:11] = 1000*pr_ldor[8:11]
+
+# saving data for later use
+print('Saving zonal month mean pr')
+np.savez('pr_zonalmonthmean.npz', \
+ **{'pr_aqct':pr_aqct, 'pr_aq4x':pr_aq4x, 'pr_ldct':pr_ldct, \
+ 'pr_ld4x':pr_ld4x, 'pr_ldor':pr_ldor, 'lat':lat} )
diff --git a/ramadda/calc_pr_zonaltimemean.py b/ramadda/calc_pr_zonaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..ca34ee87a5d5b457cb8bcd821d2b09ef7dc548a8
--- /dev/null
+++ b/ramadda/calc_pr_zonaltimemean.py
@@ -0,0 +1,55 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+pr_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'pr')
+pr_aq4x, _ = loaddata.get_data_zmtm('AQUACO2', 'pr')
+pr_ldct, _ = loaddata.get_data_zmtm('LAND' , 'pr')
+pr_ld4x, _ = loaddata.get_data_zmtm('LANDCO2', 'pr')
+pr_ldor, _ = loaddata.get_data_zmtm('LORBIT' , 'pr')
+
+# for cam3, cam4 and mpas precip must be reconstructed from convective and large-scale components
+# convective precip
+prc_aqct, _ = loaddata.get_data_zmtm('AQUA' , 'prc')
+prc_aq4x, _ = loaddata.get_data_zmtm('AQUACO2', 'prc')
+prc_ldct, _ = loaddata.get_data_zmtm('LAND' , 'prc')
+prc_ld4x, _ = loaddata.get_data_zmtm('LANDCO2', 'prc')
+prc_ldor, _ = loaddata.get_data_zmtm('LORBIT' , 'prc')
+# large-scale precip
+prl_aqct, _ = loaddata.get_data_zmtm('AQUA' , 'prl')
+prl_aq4x, _ = loaddata.get_data_zmtm('AQUACO2', 'prl')
+prl_ldct, _ = loaddata.get_data_zmtm('LAND' , 'prl')
+prl_ld4x, _ = loaddata.get_data_zmtm('LANDCO2', 'prl')
+prl_ldor, _ = loaddata.get_data_zmtm('LORBIT' , 'prl')
+# cam3, cam4 and mpas have model indices 8, 9, 10
+pr_aqct[8:11] = prc_aqct[8:11] + prl_aqct[8:11]
+pr_aq4x[8:11] = prc_aq4x[8:11] + prl_aq4x[8:11]
+pr_ldct[8:11] = prc_ldct[8:11] + prl_ldct[8:11]
+pr_ld4x[8:11] = prc_ld4x[8:11] + prl_ld4x[8:11]
+pr_ldor[8:11] = prc_ldor[8:11] + prl_ldor[8:11]
+
+# convert precip to mm/day
+pr_aqct = 86400 * pr_aqct
+pr_aq4x = 86400 * pr_aq4x
+pr_ldct = 86400 * pr_ldct
+pr_ld4x = 86400 * pr_ld4x
+pr_ldor = 86400 * pr_ldor
+# for cam3, cam4 and mpas we also need to multiply by 1000
+pr_aqct[8:11] = 1000*pr_aqct[8:11]
+pr_aq4x[8:11] = 1000*pr_aq4x[8:11]
+pr_ldct[8:11] = 1000*pr_ldct[8:11]
+pr_ld4x[8:11] = 1000*pr_ld4x[8:11]
+pr_ldor[8:11] = 1000*pr_ldor[8:11]
+
+# saving data for later use
+print('Saving zonal time mean pr')
+np.savez('pr_zonaltimemean.npz', \
+ **{'pr_aqct':pr_aqct, 'pr_aq4x':pr_aq4x, 'pr_ldct':pr_ldct, \
+ 'pr_ld4x':pr_ld4x, 'pr_ldor':pr_ldor, 'lat':lat} )
diff --git a/ramadda/calc_rsdscs_latlontimemean.py b/ramadda/calc_rsdscs_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..0e44313330a33806d8491a7e6532da725080f743
--- /dev/null
+++ b/ramadda/calc_rsdscs_latlontimemean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsdscs_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'rsdscs')
+rsdscs_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'rsdscs')
+rsdscs_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'rsdscs')
+rsdscs_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'rsdscs')
+rsdscs_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'rsdscs')
+
+# saving data for later use
+print('Saving lat-lon time mean rsdscs')
+np.savez('rsdscs_latlontimemean.npz', \
+ **{'rsdscs_aqct':rsdscs_aqct, 'rsdscs_aq4x':rsdscs_aq4x, 'rsdscs_ldct':rsdscs_ldct, \
+ 'rsdscs_ld4x':rsdscs_ld4x, 'rsdscs_ldor':rsdscs_ldor, 'lat':lat, 'lon':lon})
\ No newline at end of file
diff --git a/ramadda/calc_rsdscs_zonaltimemean.py b/ramadda/calc_rsdscs_zonaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..18f81762c9d0a06acb8069bd8da8cbb4bbea6d6b
--- /dev/null
+++ b/ramadda/calc_rsdscs_zonaltimemean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsdscs_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'rsdscs')
+rsdscs_aq4x, lat = loaddata.get_data_zmtm('AQUACO2', 'rsdscs')
+rsdscs_ldct, lat = loaddata.get_data_zmtm('LAND' , 'rsdscs')
+rsdscs_ld4x, lat = loaddata.get_data_zmtm('LANDCO2', 'rsdscs')
+rsdscs_ldor, lat = loaddata.get_data_zmtm('LORBIT' , 'rsdscs')
+
+# saving data for later use
+print('Saving zonal time mean rsdscs')
+np.savez('rsdscs_zonaltimemean.npz', \
+ **{'rsdscs_aqct':rsdscs_aqct, 'rsdscs_aq4x':rsdscs_aq4x, 'rsdscs_ldct':rsdscs_ldct, \
+ 'rsdscs_ld4x':rsdscs_ld4x, 'rsdscs_ldor':rsdscs_ldor, 'lat':lat})
\ No newline at end of file
diff --git a/ramadda/calc_rsdt_latlonmonthmean.py b/ramadda/calc_rsdt_latlonmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d6f4e31e6d051c408aac1f84962569fd783ee07
--- /dev/null
+++ b/ramadda/calc_rsdt_latlonmonthmean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsdt_aqct, lat, lon = loaddata.get_data_latlonmm('AQUA' , 'rsdt')
+rsdt_aq4x, lat, lon = loaddata.get_data_latlonmm('AQUACO2', 'rsdt')
+rsdt_ldct, lat, lon = loaddata.get_data_latlonmm('LAND' , 'rsdt')
+rsdt_ld4x, lat, lon = loaddata.get_data_latlonmm('LANDCO2', 'rsdt')
+rsdt_ldor, lat, lon = loaddata.get_data_latlonmm('LORBIT' , 'rsdt')
+
+# saving data for later use
+print('Saving lat-lon month mean rsdt')
+np.savez('rsdt_latlonmonthmean.npz', \
+ **{'rsdt_aqct':rsdt_aqct, 'rsdt_aq4x':rsdt_aq4x, 'rsdt_ldct':rsdt_ldct, \
+ 'rsdt_ld4x':rsdt_ld4x, 'rsdt_ldor':rsdt_ldor, 'lat':lat, 'lon':lon})
\ No newline at end of file
diff --git a/ramadda/calc_rsdt_zonalmonthmean.py b/ramadda/calc_rsdt_zonalmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..b9b925aa2fa1c83af1ea3dbf298f24e50c504f88
--- /dev/null
+++ b/ramadda/calc_rsdt_zonalmonthmean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsdt_aqct, lat = loaddata.get_data_zmmm('AQUA' , 'rsdt')
+rsdt_aq4x, lat = loaddata.get_data_zmmm('AQUACO2', 'rsdt')
+rsdt_ldct, lat = loaddata.get_data_zmmm('LAND' , 'rsdt')
+rsdt_ld4x, lat = loaddata.get_data_zmmm('LANDCO2', 'rsdt')
+rsdt_ldor, lat = loaddata.get_data_zmmm('LORBIT' , 'rsdt')
+
+# saving data for later use
+print('Saving zonal month mean rsdt')
+np.savez('rsdt_zonalmonthmean.npz', \
+ **{'rsdt_aqct':rsdt_aqct, 'rsdt_aq4x':rsdt_aq4x, 'rsdt_ldct':rsdt_ldct, \
+ 'rsdt_ld4x':rsdt_ld4x, 'rsdt_ldor':rsdt_ldor, 'lat':lat})
\ No newline at end of file
diff --git a/ramadda/calc_rsuscs_latlontimemean.py b/ramadda/calc_rsuscs_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a6fa3a92a0af83cd6df58b27f533fe1bbc9e31a
--- /dev/null
+++ b/ramadda/calc_rsuscs_latlontimemean.py
@@ -0,0 +1,41 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsuscs_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'rsuscs')
+rsuscs_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'rsuscs')
+rsuscs_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'rsuscs')
+rsuscs_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'rsuscs')
+rsuscs_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'rsuscs')
+
+# we also need rsdscs and rsnscs to reconstruct rsuscs for cam3, cam4 and mpas
+rsdscs_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'rsdscs')
+rsdscs_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'rsdscs')
+rsdscs_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'rsdscs')
+rsdscs_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'rsdscs')
+rsdscs_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'rsdscs')
+
+rsnscs_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'rsnscs')
+rsnscs_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'rsnscs')
+rsnscs_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'rsnscs')
+rsnscs_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'rsnscs')
+rsnscs_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'rsnscs')
+
+# for cam3, cam4 and mpas, rsuscs is negative because it is upward
+rsuscs_aqct[8:11, :, :] = (np.abs(rsdscs_aqct[8:11, :, :]) - np.abs(rsnscs_aqct[8:11, :, :]))
+rsuscs_aq4x[8:11, :, :] = (np.abs(rsdscs_aq4x[8:11, :, :]) - np.abs(rsnscs_aq4x[8:11, :, :]))
+rsuscs_ldct[8:11, :, :] = (np.abs(rsdscs_ldct[8:11, :, :]) - np.abs(rsnscs_ldct[8:11, :, :]))
+rsuscs_ld4x[8:11, :, :] = (np.abs(rsdscs_ld4x[8:11, :, :]) - np.abs(rsnscs_ld4x[8:11, :, :]))
+rsuscs_ldor[8:11, :, :] = (np.abs(rsdscs_ldor[8:11, :, :]) - np.abs(rsnscs_ldor[8:11, :, :]))
+
+# saving data for later use
+print('Saving lat-lon time mean rsuscs')
+np.savez('rsuscs_latlontimemean.npz', \
+ **{'rsuscs_aqct':rsuscs_aqct, 'rsuscs_aq4x':rsuscs_aq4x, 'rsuscs_ldct':rsuscs_ldct, \
+ 'rsuscs_ld4x':rsuscs_ld4x, 'rsuscs_ldor':rsuscs_ldor, 'lat':lat, 'lon': lon})
\ No newline at end of file
diff --git a/ramadda/calc_rsuscs_zonaltimemean.py b/ramadda/calc_rsuscs_zonaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..c3b335384a1b2276abfa5b3ac0f0f7b4b4c123dd
--- /dev/null
+++ b/ramadda/calc_rsuscs_zonaltimemean.py
@@ -0,0 +1,41 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+rsuscs_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'rsuscs')
+rsuscs_aq4x, lat = loaddata.get_data_zmtm('AQUACO2', 'rsuscs')
+rsuscs_ldct, lat = loaddata.get_data_zmtm('LAND' , 'rsuscs')
+rsuscs_ld4x, lat = loaddata.get_data_zmtm('LANDCO2', 'rsuscs')
+rsuscs_ldor, lat = loaddata.get_data_zmtm('LORBIT' , 'rsuscs')
+
+# we also need rsdscs and rsnscs to reconstruct rsuscs for cam3, cam4 and mpas
+rsdscs_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'rsdscs')
+rsdscs_aq4x, lat = loaddata.get_data_zmtm('AQUACO2', 'rsdscs')
+rsdscs_ldct, lat = loaddata.get_data_zmtm('LAND' , 'rsdscs')
+rsdscs_ld4x, lat = loaddata.get_data_zmtm('LANDCO2', 'rsdscs')
+rsdscs_ldor, lat = loaddata.get_data_zmtm('LORBIT' , 'rsdscs')
+
+rsnscs_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'rsnscs')
+rsnscs_aq4x, lat = loaddata.get_data_zmtm('AQUACO2', 'rsnscs')
+rsnscs_ldct, lat = loaddata.get_data_zmtm('LAND' , 'rsnscs')
+rsnscs_ld4x, lat = loaddata.get_data_zmtm('LANDCO2', 'rsnscs')
+rsnscs_ldor, lat = loaddata.get_data_zmtm('LORBIT' , 'rsnscs')
+
+# for cam3, cam4 and mpas, rsuscs is negative because it is upward
+rsuscs_aqct[8:11, :] = (np.abs(rsdscs_aqct[8:11, :]) - np.abs(rsnscs_aqct[8:11, :]))
+rsuscs_aq4x[8:11, :] = (np.abs(rsdscs_aq4x[8:11, :]) - np.abs(rsnscs_aq4x[8:11, :]))
+rsuscs_ldct[8:11, :] = (np.abs(rsdscs_ldct[8:11, :]) - np.abs(rsnscs_ldct[8:11, :]))
+rsuscs_ld4x[8:11, :] = (np.abs(rsdscs_ld4x[8:11, :]) - np.abs(rsnscs_ld4x[8:11, :]))
+rsuscs_ldor[8:11, :] = (np.abs(rsdscs_ldor[8:11, :]) - np.abs(rsnscs_ldor[8:11, :]))
+
+# saving data for later use
+print('Saving zonal time mean rsuscs')
+np.savez('rsuscs_zonaltimemean.npz', \
+ **{'rsuscs_aqct':rsuscs_aqct, 'rsuscs_aq4x':rsuscs_aq4x, 'rsuscs_ldct':rsuscs_ldct, \
+ 'rsuscs_ld4x':rsuscs_ld4x, 'rsuscs_ldor':rsuscs_ldor, 'lat':lat})
\ No newline at end of file
diff --git a/ramadda/calc_ts_globalmean_allmonths.py b/ramadda/calc_ts_globalmean_allmonths.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e75ba13915fcf372f8e37915956d2ab3a1590df
--- /dev/null
+++ b/ramadda/calc_ts_globalmean_allmonths.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ts_aqct = loaddata.get_data_gmallmonths('AQUA' , 'ts')
+ts_aq4x = loaddata.get_data_gmallmonths('AQUACO2', 'ts')
+ts_ldct = loaddata.get_data_gmallmonths('LAND' , 'ts')
+ts_ld4x = loaddata.get_data_gmallmonths('LANDCO2', 'ts')
+ts_ldor = loaddata.get_data_gmallmonths('LORBIT' , 'ts')
+
+# saving data for later use
+print('Saving global mean ts for all available months')
+np.savez('ts_globalmean_allmonths.npz', \
+ **{'ts_aqct':ts_aqct, 'ts_aq4x':ts_aq4x, 'ts_ldct':ts_ldct, \
+ 'ts_ld4x':ts_ld4x, 'ts_ldor':ts_ldor} )
diff --git a/ramadda/calc_ts_globaltimemean.py b/ramadda/calc_ts_globaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..89227e7f8c8913a0f89ffdf4f3500b143805b1e9
--- /dev/null
+++ b/ramadda/calc_ts_globaltimemean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ts_aqct = loaddata.get_data_gmtm('AQUA' , 'ts')
+ts_aq4x = loaddata.get_data_gmtm('AQUACO2', 'ts')
+ts_ldct = loaddata.get_data_gmtm('LAND' , 'ts')
+ts_ld4x = loaddata.get_data_gmtm('LANDCO2', 'ts')
+ts_ldor = loaddata.get_data_gmtm('LORBIT' , 'ts')
+
+# saving data for later use
+print('Saving global time mean ts')
+np.savez('ts_globaltimemean.npz', \
+ **{'ts_aqct':ts_aqct, 'ts_aq4x':ts_aq4x, 'ts_ldct':ts_ldct, \
+ 'ts_ld4x':ts_ld4x, 'ts_ldor':ts_ldor} )
diff --git a/ramadda/calc_ts_latlontimemean.py b/ramadda/calc_ts_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..3a89f1e0d95bf2e2e2b442d5168b3462a475f64f
--- /dev/null
+++ b/ramadda/calc_ts_latlontimemean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ts_aqct, lat, lon = loaddata.get_data_latlontm('AQUA' , 'ts')
+ts_aq4x, lat, lon = loaddata.get_data_latlontm('AQUACO2', 'ts')
+ts_ldct, lat, lon = loaddata.get_data_latlontm('LAND' , 'ts')
+ts_ld4x, lat, lon = loaddata.get_data_latlontm('LANDCO2', 'ts')
+ts_ldor, lat, lon = loaddata.get_data_latlontm('LORBIT' , 'ts')
+
+# saving data for later use
+print('Saving lat-lon time mean ts')
+np.savez('ts_latlontimemean.npz', \
+ **{'ts_aqct':ts_aqct, 'ts_aq4x':ts_aq4x, 'ts_ldct':ts_ldct, \
+ 'ts_ld4x':ts_ld4x, 'ts_ldor':ts_ldor, 'lat':lat, 'lon':lon})
diff --git a/ramadda/calc_ts_zonalmonthmean.py b/ramadda/calc_ts_zonalmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..d524b40918b91b733c7be2d56b3418073032a67b
--- /dev/null
+++ b/ramadda/calc_ts_zonalmonthmean.py
@@ -0,0 +1,21 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ts_aqct, lat = loaddata.get_data_zmmm('AQUA' , 'ts')
+ts_aq4x, lat = loaddata.get_data_zmmm('AQUACO2', 'ts')
+ts_ldct, lat = loaddata.get_data_zmmm('LAND' , 'ts')
+ts_ld4x, lat = loaddata.get_data_zmmm('LANDCO2', 'ts')
+ts_ldor, lat = loaddata.get_data_zmmm('LORBIT' , 'ts')
+
+# saving data for later use
+print('Saving zonal month mean ts')
+np.savez('ts_zonalmonthmean.npz', \
+ **{'ts_aqct':ts_aqct, 'ts_aq4x':ts_aq4x, 'ts_ldct':ts_ldct, \
+ 'ts_ld4x':ts_ld4x, 'ts_ldor':ts_ldor, 'lat':lat})
\ No newline at end of file
diff --git a/ramadda/calc_ts_zonaltimemean.py b/ramadda/calc_ts_zonaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..4006d82a16426a93863bee347ad84858c3f4a65c
--- /dev/null
+++ b/ramadda/calc_ts_zonaltimemean.py
@@ -0,0 +1,22 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ts_aqct, lat = loaddata.get_data_zmtm('AQUA' , 'ts')
+ts_aq4x, _ = loaddata.get_data_zmtm('AQUACO2', 'ts')
+ts_ldct, _ = loaddata.get_data_zmtm('LAND' , 'ts')
+ts_ld4x, _ = loaddata.get_data_zmtm('LANDCO2', 'ts')
+ts_ldor, _ = loaddata.get_data_zmtm('LORBIT' , 'ts')
+
+# saving data for later use
+print('Saving zonal time mean ts')
+np.savez('ts_zonaltimemean.npz', \
+ **{'ts_aqct':ts_aqct, 'ts_aq4x':ts_aq4x, 'ts_ldct':ts_ldct, \
+ 'ts_ld4x':ts_ld4x, 'ts_ldor':ts_ldor, 'lat':lat} )
diff --git a/ramadda/calc_ua_zonaltimemean_plevels.py b/ramadda/calc_ua_zonaltimemean_plevels.py
new file mode 100644
index 0000000000000000000000000000000000000000..97933e5969f06b7f02a6a0da8761b5ed5a606dd6
--- /dev/null
+++ b/ramadda/calc_ua_zonaltimemean_plevels.py
@@ -0,0 +1,23 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+ua_aqct, lev, lat = loaddata.get_data_zmtm_plevels('AQUA' , 'ua')
+ua_aq4x, _ , _ = loaddata.get_data_zmtm_plevels('AQUACO2', 'ua')
+ua_ldct, _ , _ = loaddata.get_data_zmtm_plevels('LAND' , 'ua')
+ua_ld4x, _ , _ = loaddata.get_data_zmtm_plevels('LANDCO2', 'ua')
+ua_ldor, _ , _ = loaddata.get_data_zmtm_plevels('LORBIT' , 'ua')
+
+# saving data for later use
+print('Saving zonal time mean ua on pressure levels')
+np.savez('ua_zonaltimemean_plevels.npz', \
+ **{'ua_aqct':ua_aqct, 'ua_aq4x':ua_aq4x, 'ua_ldct':ua_ldct, \
+ 'ua_ld4x':ua_ld4x, 'ua_ldor':ua_ldor, 'lev':lev, 'lat':lat} )
+
\ No newline at end of file
diff --git a/ramadda/calc_va_zonaltimemean_plevels.py b/ramadda/calc_va_zonaltimemean_plevels.py
new file mode 100644
index 0000000000000000000000000000000000000000..42f858c6b23db1bdec24ce1ce8d2f8637ff68b60
--- /dev/null
+++ b/ramadda/calc_va_zonaltimemean_plevels.py
@@ -0,0 +1,23 @@
+# load modules
+import numpy as np
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+import loaddata as loaddata
+
+# load data from ramadda server
+va_aqct, lev, lat = loaddata.get_data_zmtm_plevels('AQUA' , 'va')
+va_aq4x, _ , _ = loaddata.get_data_zmtm_plevels('AQUACO2', 'va')
+va_ldct, _ , _ = loaddata.get_data_zmtm_plevels('LAND' , 'va')
+va_ld4x, _ , _ = loaddata.get_data_zmtm_plevels('LANDCO2', 'va')
+va_ldor, _ , _ = loaddata.get_data_zmtm_plevels('LORBIT' , 'va')
+
+# saving data for later use
+print('Saving zonal time mean va on pressure levels')
+np.savez('va_zonaltimemean_plevels.npz', \
+ **{'va_aqct':va_aqct, 'va_aq4x':va_aq4x, 'va_ldct':va_ldct, \
+ 'va_ld4x':va_ld4x, 'va_ldor':va_ldor, 'lev':lev, 'lat':lat} )
+
\ No newline at end of file
diff --git a/ramadda/climatesensitivity.py b/ramadda/climatesensitivity.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a59af930ee543fbd4b82356cf708030e64d6c55
--- /dev/null
+++ b/ramadda/climatesensitivity.py
@@ -0,0 +1,108 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# loading data
+print('Load global time mean ts')
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+
+print(ts_aqct)
+
+nmod = ts_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# plotting
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for i in range(0, nmod):
+ plt.text(ts_aqct[i], 0.5*(ts_aq4x - ts_aqct)[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.xlim(291, 302), plt.ylim(0.9, 5.7)
+corr, r = spstats.spearmanr(ts_aqct, 0.5*(ts_aq4x - ts_aqct))
+print(corr, r)
+plt.text(298, 1.1, ' corr=0.27, p=0.40')
+plt.title('Aquaplanet', fontsize=14)
+plt.xlabel('Global surface temperature (K)', fontsize=12)
+plt.ylabel('Climate sensitivity (K)', fontsize=12)
+ax.xaxis.set_ticks([292, 294, 296, 298, 300, 302])
+ax.xaxis.set_ticklabels([292, 294, 296, 298, 300, 302], fontsize=10)
+ax.yaxis.set_ticks([2, 3, 4, 5])
+ax.yaxis.set_ticklabels([2, 3, 4, 5], fontsize=10)
+
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for i in range (1, nmod-1):
+ plt.text(ts_ldct[i], 0.5*(ts_ld4x - ts_ldct)[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.xlim(291, 302), plt.ylim(0.9, 5.7)
+corr, r = spstats.spearmanr(ts_ldct, 0.5*(ts_ld4x - ts_ldct))
+print(corr, r)
+plt.text(298, 1.1, ' corr=0.54, p=0.07')
+plt.title('With continent', fontsize=14)
+plt.xlabel('Global surface temperature (K)', fontsize=12)
+ax.xaxis.set_ticks([292, 294, 296, 298, 300, 302])
+ax.xaxis.set_ticklabels([292, 294, 296, 298, 300, 302], fontsize=10)
+ax.yaxis.set_ticks([2, 3, 4, 5])
+ax.yaxis.set_ticklabels([2, 3, 4, 5], fontsize=10)
+
+plt.tight_layout
+plt.savefig('figs/climatesensitivity.pdf')
+
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+plt.subplot(1, 2, 1)
+plt.plot([1, 6], [1, 6], 'k--')
+for i in range (1, nmod-1):
+ plt.text(0.5*(ts_aq4x-ts_aqct)[i], 0.5*(ts_ld4x - ts_ldct)[i],
+ modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.xlabel('Aquaplanet')
+plt.ylabel('With land')
+plt.title('Climate Sensitivity')
+
+plt.subplot(1, 2, 2)
+plt.plot([1, 6], [0, 0], 'k--'), plt.ylim(-1, 1)
+for i in range (1, nmod-1):
+ plt.text(0.5*(ts_aq4x-ts_aqct)[i], 0.5*(ts_ld4x - ts_ldct)[i] - 0.5*(ts_aq4x-ts_aqct)[i],
+ modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.xlabel('Aquaplanet')
+plt.ylabel('Land-Aquaplanet')
+plt.title('Climate Sensitivity')
+
+print(0.5*np.nanmedian(ts_aq4x - ts_aqct))
+print(0.5*np.nanmin(ts_aq4x - ts_aqct))
+print(0.5*np.nanmax(ts_aq4x - ts_aqct))
+
+print(0.5*np.nanmedian(ts_ld4x - ts_ldct))
+print(0.5*np.nanmin(ts_ld4x - ts_ldct))
+print(0.5*np.nanmax(ts_ld4x - ts_ldct))
+
+
+
+plt.show()
+
+#load_data('MetENT','AQUA', 'pr')
diff --git a/ramadda/climatesensitivity_hydrologicalsensitivity.py b/ramadda/climatesensitivity_hydrologicalsensitivity.py
new file mode 100644
index 0000000000000000000000000000000000000000..08be401d53fb8d2419d6a4c99fd561641eba26be
--- /dev/null
+++ b/ramadda/climatesensitivity_hydrologicalsensitivity.py
@@ -0,0 +1,142 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+#sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+#sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+sys.path.append('/home/fd8940/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# loading data
+print('Load global time mean ts and pr')
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+file = np.load('pr_globaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_aq4x = file['pr_aq4x']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+pr_ldor = file['pr_ldor']
+
+nmod = ts_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+
+# plotting
+plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for i in modlist_aq4x:
+ plt.text(ts_aqct[i], 0.5*(ts_aq4x - ts_aqct)[i], modelnumbers[i], fontweight='normal', color=modelcolors[i], ha='center', va='center', fontsize=14)
+for i in modlist_ld4x:
+ plt.text(ts_ldct[i], 0.5*(ts_ld4x - ts_ldct)[i], modelnumbers[i], fontweight='normal', color=modelcolors[i], ha='center', va='center', fontsize=14)
+ plt.text(ts_ldct[i], 0.5*(ts_ld4x - ts_ldct)[i] - 0.17, '_', fontweight='normal', color=modelcolors[i], ha='center', va='bottom', fontsize=14)
+plt.xlim(288, 302), plt.ylim(0.5, 5.7)
+corr, r = spstats.spearmanr(ts_aqct[modlist_aq4x], 0.5*((ts_aq4x - ts_aqct)[modlist_aq4x]))
+print(corr, r)
+corr, r = spstats.spearmanr(ts_ldct[modlist_ld4x], 0.5*((ts_ld4x - ts_ldct)[modlist_ld4x]))
+print(corr, r)
+# do aquaplanet fit without mpas model
+modlist_aq4x_nompas = [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14]
+corr, r = spstats.spearmanr(ts_aqct[modlist_aq4x_nompas], 0.5*((ts_aq4x - ts_aqct)[modlist_aq4x_nompas]))
+print(corr, r)
+plt.text(302, 1.0, 'Aqua: corr=0.31, p=0.27', ha='right', fontsize=12, fontstyle='italic')
+plt.text(302, 0.7, 'Land: corr=0.47, p=0.10', ha='right', fontsize=12, fontstyle='italic')
+plt.xlabel('Global surface temperature (K)', fontsize=12)
+plt.ylabel('Climate sensitivity (K)', fontsize=12)
+ax.xaxis.set_ticks([289, 291, 293, 295, 297, 299, 301])
+ax.xaxis.set_ticklabels([289, 291, 293, 295, 297, 299, 301], fontsize=10)
+ax.yaxis.set_ticks([1, 2, 3, 4, 5])
+ax.yaxis.set_ticklabels([1, 2, 3, 4, 5], fontsize=10)
+plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+
+ax = plt.subplot(2, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+xfit = np.linspace(0, 15, 100)
+yfit = 2.2*xfit; plt.plot(xfit, yfit, 'k')
+for i in modlist_aq4x:
+ plt.text((ts_aq4x-ts_aqct)[i], 100*(pr_aq4x[i] - pr_aqct[i])/pr_aqct[i], modelnumbers[i], fontweight='normal', color=modelcolors[i], ha='center', va='center', fontsize=14)
+for i in modlist_ld4x:
+ plt.text((ts_ld4x-ts_ldct)[i], 100*((pr_ld4x - pr_ldct)/pr_ldct)[i], modelnumbers[i], fontweight='normal', color=modelcolors[i], ha='center', va='center', fontsize=14)
+ plt.text((ts_ld4x-ts_ldct)[i], 100*((pr_ld4x - pr_ldct)/pr_ldct)[i] - 0.7, '_', fontweight='normal', color=modelcolors[i], ha='center', va='bottom', fontsize=14)
+
+plt.xlim(0, 10), plt.ylim(0, 22)
+
+plt.xlabel('Global surface temperature increase (K)', fontsize=12)
+plt.ylabel('Precipitation increase (%)', fontsize=12)
+ax.xaxis.set_ticks([0, 2, 4, 6, 8, 10])
+ax.xaxis.set_ticklabels([0, 2, 4, 6, 8, 10], fontsize=10)
+ax.yaxis.set_ticks([0, 5, 10, 15, 20])
+ax.yaxis.set_ticklabels([0, 5, 10, 15, 20], fontsize=10)
+plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+plt.text(8.1, 21, '2.2%/K', fontsize=12, fontstyle='italic', rotation=90/2.5)
+
+ax = plt.subplot(2, 2, 3)
+plt.xlim(0, 1), plt.ylim(0, 1)
+plt.axis('off')
+ystart=1.0
+delta=0.0666
+for m in modlist_aqct:
+ if np.int(modelnumbers[m])<4:
+ plt.text(0.1, ystart-delta*np.float(modelnumbers[m]), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.15, ystart-delta*np.float(modelnumbers[m]), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<7:
+ plt.text(0.5, ystart-delta*(np.float(modelnumbers[m])-3), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.55, ystart-delta*(np.float(modelnumbers[m])-3), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<10:
+ plt.text(0.9, ystart-delta*(np.float(modelnumbers[m])-6), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.95, ystart-delta*(np.float(modelnumbers[m])-6), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<13:
+ plt.text(1.3, ystart-delta*(np.float(modelnumbers[m])-9), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.4, ystart-delta*(np.float(modelnumbers[m])-9), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<15:
+ plt.text(1.7, ystart-delta*(np.float(modelnumbers[m])-12), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.8, ystart-delta*(np.float(modelnumbers[m])-12), modelnames[m], color=modelcolors[m], fontsize=14)
+# plt.text(1.75, ystart-delta*3, 'Model median', color='k', fontweight='bold', fontsize=14)
+
+plt.tight_layout()
+plt.savefig('figs/climatesensitivity_hydrologicalsensitivity.pdf')
+
+# fit of dpr vs dts under 4xco2
+r, _, corr, p, _ = spstats.linregress((ts_aq4x - ts_aqct)[modlist_aq4x], ((pr_aq4x - pr_aqct)/pr_aqct)[modlist_aq4x])
+print(r, corr, p)
+
+r, _, corr, p, _ = spstats.linregress((ts_ld4x - ts_ldct)[modlist_ld4x], ((pr_ld4x - pr_ldct)/pr_ldct)[modlist_ld4x])
+print(r, corr, p)
+
+#print(np.nanmin(ts_aqct), np.nanmax(ts_aqct),np.nanmedian(ts_aqct))
+#print(np.nanmin(pr_aqct), np.nanmax(pr_aqct),np.nanmedian(pr_aqct))
+
+#print(np.nanmin(ts_aq4x-ts_aqct)/2, np.nanmax(ts_aq4x-ts_aqct)/2,np.nanmedian(ts_aq4x-ts_aqct)/2)
+#print(np.nanmin(ts_ld4x-ts_ldct)/2, np.nanmax(ts_ld4x-ts_ldct)/2,np.nanmedian(ts_ld4x-ts_ldct)/2)
+
+plt.show()
+
diff --git a/ramadda/clt_AquaControl_LandControl_latlontimemean.py b/ramadda/clt_AquaControl_LandControl_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..10a9599a2c9a70fbb25767aeb56d24e74c10b786
--- /dev/null
+++ b/ramadda/clt_AquaControl_LandControl_latlontimemean.py
@@ -0,0 +1,182 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+import tracmipmodels as tracmipmodels
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.98, 0.98)
+
+# load ts data
+file = np.load('clt_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+clt_aqct = file['clt_aqct']
+clt_ldct = file['clt_ldct']
+
+nmod = clt_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# plotting
+
+# AquaControl
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k' )
+clev = np.array([10,20,30,40,50,60,70,80,90])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((clt_aqct)[modlist_aqct], axis=0), clev, extend='both', cmap=cm.Blues)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=11)
+plt.text(1, -0.17, '%', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ pdata = clt_aqct[m]
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL':
+ msubplot = 11; print('MetUM-CTL, clt AquaControl:', np.max(pdata))
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, pdata, clev, extend='both', cmap=cm.Blues)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/clt_latlontimemean_AquaControl_allmodels.pdf')
+
+# LandControl
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k' )
+clev = np.array([10,20,30,40,50,60,70,80,90])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((clt_ldct)[modlist_ldct], axis=0), clev, extend='both', cmap=cm.Blues)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=11)
+plt.text(1, -0.17, '%', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL': msubplot = 11
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (clt_ldct)[m, :, :], clev, extend='both', cmap=cm.Blues)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/clt_latlontimemean_LandControl_allmodels.pdf')
+
+# LandControl-AquaControl
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k' )
+clev = np.array([-25,-20,-15,-10,-5,0,5,10,15,20,25])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((clt_ldct-clt_aqct)[modlist_ldct], axis=0), clev, extend='both', cmap=cm.RdBu_r)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=11)
+plt.text(1, -0.17, '%', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL': msubplot = 11
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (clt_ldct-clt_aqct)[m, :, :], clev, extend='both', cmap=cm.RdBu_r)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/clt_latlontimemean_LandControl_minus_AquaControl_allmodels.pdf')
+
+plt.show()
diff --git a/ramadda/dpr_Land4xCO2_minus_LandControl_latlontimemean.py b/ramadda/dpr_Land4xCO2_minus_LandControl_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..d73ec4d10dc18d0385837adec2bc03c9c91d7270
--- /dev/null
+++ b/ramadda/dpr_Land4xCO2_minus_LandControl_latlontimemean.py
@@ -0,0 +1,104 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)
+
+# load pr data
+file = np.load('pr_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+
+nmod = pr_ldct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+
+# itcz position at each longitude
+itcz_ldct = np.zeros((nmod, nlon)) + np.nan
+itcz_ld4x = np.zeros((nmod, nlon)) + np.nan
+for m in modlist_ldct:
+ for i in range(0, nlon):
+ itcz_ldct[m, i] = atm.get_itczposition(pr_ldct[m, :, i], lat, 30.0, 0.1)
+for m in modlist_ld4x:
+ for i in range(0, nlon):
+ itcz_ld4x[m, i] = atm.get_itczposition(pr_ld4x[m, :, i], lat, 30.0, 0.1)
+
+# plotting
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k')
+clev = np.array([-6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((pr_ld4x-pr_ldct)[modlist_ldct], axis=0), clev, extend='both', cmap=cm.BrBG)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(np.nanmedian(itcz_ldct[modlist_ldct], axis=0)*np.pi/180), 'royalblue', linewidth=2)
+plt.plot(lon, np.sin(np.nanmedian(itcz_ld4x[modlist_ld4x], axis=0)*np.pi/180), 'firebrick', linewidth=2)
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-6, -4, -2, 0, 2, 4, 6], orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, 'mm/day', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL': msubplot = 11
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (pr_ld4x-pr_ldct)[m, :, :], clev, extend='both', cmap=cm.BrBG)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ plt.plot(lon, np.sin(itcz_ldct[m, :]*np.pi/180), 'royalblue', linewidth=2)
+ plt.plot(lon, np.sin(itcz_ld4x[m, :]*np.pi/180), 'firebrick', linewidth=2)
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dpr_latlontimemean_Land4xCO2_minus_LandControl_allmodels.pdf')
+
+plt.show()
diff --git a/ramadda/dpr_LandControl_minus_AquaControl_latlontimemean.py b/ramadda/dpr_LandControl_minus_AquaControl_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..8d9d8abbf1e75d8bc488f0d37eacbaf1eca3f804
--- /dev/null
+++ b/ramadda/dpr_LandControl_minus_AquaControl_latlontimemean.py
@@ -0,0 +1,103 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)
+
+# load pr data
+file = np.load('pr_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_aqct = file['pr_aqct']
+pr_ldct = file['pr_ldct']
+
+nmod = pr_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# itcz position at each longitude, for aqct we use zonal-mean precip for ITCZ
+itcz_aqct = np.zeros((nmod, nlon)) + np.nan
+itcz_ldct = np.zeros((nmod, nlon)) + np.nan
+for m in modlist_aqct:
+ itcz_aqct[m, :] = atm.get_itczposition(np.nanmean(pr_aqct[m, :, :], axis=1), lat, 30.0, 0.1)
+for m in modlist_ldct:
+ for i in range(0, nlon):
+ itcz_ldct[m, i] = atm.get_itczposition(pr_ldct[m, :, i], lat, 30.0, 0.1)
+
+# plotting
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k')
+clev = np.array([-6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((pr_ldct-pr_aqct)[modlist_ldct], axis=0), clev, extend='both', cmap=cm.BrBG)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(np.nanmedian(itcz_aqct[modlist_ldct], axis=0)*np.pi/180), 'royalblue', linewidth=2)
+plt.plot(lon, np.sin(np.nanmedian(itcz_ldct[modlist_ldct], axis=0)*np.pi/180), 'firebrick', linewidth=2)
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-6, -4, -2, 0, 2, 4, 6], orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, 'mm/day', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL': msubplot = 11
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (pr_ldct-pr_aqct)[m, :, :], clev, extend='both', cmap=cm.BrBG)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ plt.plot(lon, np.sin(itcz_aqct[m, :]*np.pi/180), 'royalblue', linewidth=2)
+ plt.plot(lon, np.sin(itcz_ldct[m, :]*np.pi/180), 'firebrick', linewidth=2)
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dpr_latlontimemean_LandControl_minus_AquaControl_allmodels.pdf')
+
+plt.show()
diff --git a/ramadda/dpr_LandOrbit_minus_LandControl_latlontimemean.py b/ramadda/dpr_LandOrbit_minus_LandControl_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..05736388e18b595825e6c99709987f8641927153
--- /dev/null
+++ b/ramadda/dpr_LandOrbit_minus_LandControl_latlontimemean.py
@@ -0,0 +1,97 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)
+
+# load pr data
+file = np.load('pr_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_ldct = file['pr_ldct']
+pr_ldor = file['pr_ldor']
+
+nmod = pr_ldct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# itcz position at each longitude, for aqct we use zonal-mean precip for ITCZ
+itcz_ldct = np.zeros((nmod, nlon)) + np.nan
+itcz_ldor = np.zeros((nmod, nlon)) + np.nan
+for m in range(0, nmod):
+ itcz_ldct[m, :] = atm.get_itczposition(np.nanmean(pr_ldct[m, :, :], axis=1), lat, 30.0, 1)#0.1)
+ for i in range(0, nlon):
+ itcz_ldor[m, i] = atm.get_itczposition(pr_ldor[m, :, i], lat, 30.0, 1) #0.1)
+
+# plotting
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k')
+clev = 0.5*np.array([-2.2, -1.8, -1.4, -1.0, -0.6, -0.2, 0.2, 0.6, 1.0, 1.4, 1.8, 2.2])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian(pr_ldor-pr_ldct, axis=0), clev, extend='both', cmap=cm.BrBG)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(np.nanmedian(itcz_ldct, axis=0)*np.pi/180), 'royalblue', linewidth=2)
+plt.plot(lon, np.sin(np.nanmedian(itcz_ldor, axis=0)*np.pi/180), 'firebrick', linewidth=2)
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c)#, ticks=[-6, -4, -2, 0, 2, 4, 6], orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, 'mm/day', fontsize=11, ha='right')
+
+for m in range(1, nmod-1):
+ if modelnames[m] == 'AM2' : msubplot = 4
+ if modelnames[m] == 'CAM3' : msubplot = 5
+ if modelnames[m] == 'CAM4' : msubplot = 6
+ if modelnames[m] == 'ECHAM61': msubplot = 7
+ if modelnames[m] == 'ECHAM63': msubplot = 8
+ if modelnames[m] == 'IPSL' : msubplot = 9
+ if modelnames[m] == 'MetCTL' : msubplot = 10
+ if modelnames[m] == 'MetENT' : msubplot = 11
+ if modelnames[m] == 'MIROC5' : msubplot = 12
+ if modelnames[m] == 'MPAS' : msubplot = 13
+ if (modelnames[m] != 'AM2') and (modelnames[m] != 'CAM3'):
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (pr_ldor-pr_ldct)[m, :, :], clev, extend='both', cmap=cm.BrBG)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ plt.plot(lon, np.sin(itcz_ldct[m, :]*np.pi/180), 'royalblue', linewidth=2)
+ plt.plot(lon, np.sin(itcz_ldor[m, :]*np.pi/180), 'firebrick', linewidth=2)
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 11) or (msubplot == 12) or (msubplot ==13):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=11)
+
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dpr_latlontimemean_LandOrbit_minus_LandControl_allmodels.pdf')
+
+plt.show()
diff --git a/ramadda/dpr_ditcz_co2sensitivity_to_presence_of_land.py b/ramadda/dpr_ditcz_co2sensitivity_to_presence_of_land.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce4055512a5127519125028bb916acc1369d0891
--- /dev/null
+++ b/ramadda/dpr_ditcz_co2sensitivity_to_presence_of_land.py
@@ -0,0 +1,129 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_niceplot1(ax):
+ ax.spines['right'].set_color('none')
+ ax.spines['top'].set_color('none')
+ ax.xaxis.set_ticks_position('bottom')
+ ax.yaxis.set_ticks_position('left')
+ ax.xaxis.set_ticks([-8, -6, -4, -2, 0, 2, 4, 6, 8])
+ ax.xaxis.set_ticklabels(['-8', '', '-4', '', '0', '', '4', '', '8'], fontsize=10)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+ plt.xlim(-8, 8), plt.ylim(-0.6, 0.6)
+
+
+def make_niceplot2(ax):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=10)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=10)
+ plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)
+
+# load pr data
+file = np.load('pr_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_aqct = file['pr_aqct']
+pr_aq4x = file['pr_aq4x']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+
+nmod = pr_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+
+# itcz position for precip averaged over land and ocean
+itcz_ldct = np.zeros((nmod, nlon)) + np.nan
+#itcz_ld4x = np.zeros((nmod, nlon)) + np.nan
+for m in modlist_ldct:
+ for i in range(0, nlon):
+ itcz_ldct[m, i] = atm.get_itczposition(pr_ldct[m, :, i], lat, 30.0, 0.1)
+# itcz_ld4x[m, i] = atm.get_itczposition(pr_ld4x[m, :, i], lat, 30.0, 0.1)
+
+# plotting
+plt.figure(figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k')
+#clev = np.array([-4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5])
+clev = np.array([-3.25, -2.75, -2.25, -1.75, -1.25, -0.75, -0.25, 0.25, 0.75, 1.25, 1.75, 2.25, 2.75, 3.25])
+
+ax = plt.subplot2grid((2, 6), (0, 0))
+for m in modlist_aq4x:
+ plt.plot(np.nanmean((pr_aq4x-pr_aqct)[m, :, :], axis=1), sinlat, color=modelcolors[m])
+plt.plot(np.nanmedian(np.nanmean(((pr_aq4x-pr_aqct)[modlist_aq4x]), axis=2), axis=0), sinlat, color='k', linewidth=3)
+make_niceplot1(ax)
+plt.text(0.05, 0.94, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+plt.xlabel('mm/day', fontsize=12)
+plt.title('Aqua', fontsize=14)
+
+ax = plt.subplot2grid((2, 6), (0, 1), colspan=3)
+c = plt.contourf(lon, sinlat, np.nanmedian((pr_ld4x-pr_ldct)[modlist_ldct],axis=0), clev, extend='both', cmap=cm.BrBG)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(np.nanmedian(itcz_ldct[modlist_ldct], axis=0)*np.pi/180.0), 'k', linewidth=2)
+make_niceplot2(ax)
+plt.text(0.02, 0.94, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+plt.title('Land', fontsize=14)
+
+
+ax = plt.subplot2grid((2, 6), (1, 1), colspan=3)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-3, -2, -1, 0, 1, 2, 3], orientation='horizontal', aspect=40)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, 'mm/day', fontsize=10, ha='right')
+
+ax = plt.subplot2grid((2, 6), (0, 4))
+for m in modlist_ld4x:
+ plt.plot(np.nanmean((pr_ld4x-pr_ldct)[m, :, :], axis=1), sinlat, color=modelcolors[m])
+plt.plot(np.nanmedian(np.nanmean(((pr_ld4x-pr_ldct)[modlist_ld4x]), axis=2), axis=0), sinlat, color='k', linewidth=3)
+make_niceplot1(ax)
+ax.spines['left'].set_color('none')
+ax.yaxis.set_ticks_position('none')
+ax.yaxis.set_ticklabels([''], fontsize=10)
+plt.text(0.05, 0.94, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+plt.xlabel('mm/day', fontsize=12)
+plt.title('Land', fontsize=14)
+
+ax = plt.subplot2grid((2, 6), (0, 5))
+for m in modlist_ld4x:
+ plt.plot(np.nanmean((pr_ld4x-pr_ldct)[m, :, :], axis=1) - np.nanmean((pr_aq4x-pr_aqct)[m, :, :], axis=1), sinlat, color=modelcolors[m])
+plt.plot(np.nanmedian(np.nanmean((pr_ld4x-pr_ldct)[modlist_ld4x], axis=2)-np.nanmean((pr_aq4x-pr_aqct)[modlist_ld4x], axis=2), axis=0), sinlat, color='k', linewidth=3)
+make_niceplot1(ax)
+ax.yaxis.set_ticks_position('right')
+ax.spines['right'].set_color('k')
+ax.spines['left'].set_color('none')
+plt.text(0.05, 0.94, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='none')
+plt.xlabel('mm/day', fontsize=12)
+plt.title('Land-Aqua', fontsize=14)
+ax.xaxis.set_ticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
+ax.xaxis.set_ticklabels(['-4', '', '-2', '', '0', '', '2', '', '4'], fontsize=10)
+plt.xlim(-4, 4)
+
+#plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dpr_ditcz_co2sensitivity_to_presence_of_land.pdf')
+
+plt.show()
diff --git a/ramadda/dpr_ditcz_land_ocean_seasonalcycle_LandOrbit_minus_LandControl.py b/ramadda/dpr_ditcz_land_ocean_seasonalcycle_LandOrbit_minus_LandControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..a44ff9461e0523049d9072051fbb335729710edf
--- /dev/null
+++ b/ramadda/dpr_ditcz_land_ocean_seasonalcycle_LandOrbit_minus_LandControl.py
@@ -0,0 +1,181 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)
+
+# load pr data
+file = np.load('pr_latlonmonthmean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_ldct = file['pr_ldct']
+pr_ldor = file['pr_ldor']
+
+nmod = pr_ldct[:, 0, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+print('Number of available models:', nmod)
+
+# list of available models
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# precip over land and ocean separately
+#print(lon[90:112])
+pr_land_ldct = np.nanmedian(pr_ldct[:, :, :, 90:112], axis=3)
+pr_land_ldor = np.nanmedian(pr_ldor[:, :, :, 90:112], axis=3)
+pr_ocea_ldct = np.nanmedian(np.concatenate((pr_ldct[:, :, :, 0:90], pr_ldct[:, :, :, 112:]), axis=3), axis=3)
+pr_ocea_ldor = np.nanmedian(np.concatenate((pr_ldor[:, :, :, 0:90], pr_ldor[:, :, :, 112:]), axis=3), axis=3)
+
+# itcz position for precip averaged over land and ocean
+itcz_land_ldct = np.zeros((nmod, nmonth)) + np.nan
+itcz_land_ldor = np.zeros((nmod, nmonth)) + np.nan
+itcz_ocea_ldct = np.zeros((nmod, nmonth)) + np.nan
+itcz_ocea_ldor = np.zeros((nmod, nmonth)) + np.nan
+for m in range(0, nmod):
+ for i in range(0, nmonth):
+ itcz_land_ldct[m, i] = atm.get_itczposition(pr_land_ldct[m, i, :], lat, 30.0, 0.1)
+ itcz_land_ldor[m, i] = atm.get_itczposition(pr_land_ldor[m, i, :], lat, 30.0, 0.1)
+ itcz_ocea_ldct[m, i] = atm.get_itczposition(pr_ocea_ldct[m, i, :], lat, 30.0, 0.1)
+ itcz_ocea_ldor[m, i] = atm.get_itczposition(pr_ocea_ldor[m, i, :], lat, 30.0, 0.1)
+
+# plotting
+plt.figure(figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')
+clev = np.array([-1.8, -1.4, -1.0, -0.6, -0.2, 0.2, 0.6, 1.0, 1.4, 1.8])
+
+ax = plt.subplot(3, 2, 1)
+c = plt.contourf(month, sinlat, np.transpose(np.nanmedian((pr_ocea_ldor-pr_ocea_ldct)[modlist_ldor], axis=0)), clev, extend='both', cmap=cm.BrBG)
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(month, np.sin(np.nanmedian(itcz_ocea_ldor, axis=0)*np.pi/180), 'k', linewidth=3)
+plt.title('Over ocean', fontsize=14)
+plt.xlim(1, 12), plt.ylim(-0.6, 0.6)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+plt.text(0.02, 0.92, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-1.8, -1.0, -0.2, 0.2, 1.0, 1.8], orientation='vertical', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+ax.text(1, 1, 'mm/day', fontsize=10)
+
+ax = plt.subplot(3, 2, 2)
+plt.contourf(month, sinlat, np.transpose(np.nanmedian((pr_land_ldor-pr_land_ldct)[modlist_ldor], axis=0)), clev, extend='both', cmap=cm.BrBG)
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(month, np.sin(np.nanmedian(itcz_land_ldct, axis=0)*np.pi/180), 'k', linewidth=3)
+plt.title('Over land', fontsize=14)
+plt.xlim(1, 12), plt.ylim(-0.6, 0.6)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+plt.text(0.02, 0.92, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-100, 100], [0, 0], 'k--')
+for m in modlist_ldor:
+ plt.plot(month, (itcz_ocea_ldor-itcz_ocea_ldct)[m,:], color=modelcolors[m])
+plt.plot(month, np.nanmedian((itcz_ocea_ldor-itcz_ocea_ldct)[modlist_ldor], axis=0), 'k', linewidth=3)
+plt.xlabel('month')
+plt.ylabel('ITCZ shift (deg lat)')
+plt.xlim(1, 12), plt.ylim(-3, 3)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-3, -2, -1, 0, 1, 2, 3])
+ax.yaxis.set_ticklabels([-3, -2, -1, 0, 1, 2, 3], fontsize=10)
+plt.text(0.02, 0.95, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-100, 100], [0, 0], 'k--')
+for m in modlist_ldor:
+ plt.plot(month, (itcz_land_ldor-itcz_land_ldct)[m,:], color=modelcolors[m])
+plt.plot(month, np.nanmedian((itcz_land_ldor-itcz_land_ldct)[modlist_ldor], axis=0), 'k', linewidth=3)
+plt.xlabel('month')
+plt.xlim(1, 12), plt.ylim(-3, 3)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-3, -2, -1, 0, 1, 2, 3])
+ax.yaxis.set_ticklabels([-3, -2, -1, 0, 1, 2, 3], fontsize=10)
+plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+#plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dpr_ditcz_land_ocean_seasonalcycle_LandOrbit_minus_LandControl.pdf')
+
+# time mean ITCZ over land and ocean
+# itcz position for precip averaged over land and ocean
+itcz_tm_land_ldct = np.zeros(nmod) + np.nan
+itcz_tm_land_ldor = np.zeros(nmod) + np.nan
+itcz_tm_ocea_ldct = np.zeros(nmod) + np.nan
+itcz_tm_ocea_ldor = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ itcz_tm_land_ldct[m] = atm.get_itczposition(np.nanmean(pr_land_ldct[m, :, :], axis=0), lat, 30.0, 0.1)
+ itcz_tm_land_ldor[m] = atm.get_itczposition(np.nanmean(pr_land_ldor[m, :, :], axis=0), lat, 30.0, 0.1)
+ itcz_tm_ocea_ldct[m] = atm.get_itczposition(np.nanmean(pr_ocea_ldct[m, :, :], axis=0), lat, 30.0, 0.1)
+ itcz_tm_ocea_ldor[m] = atm.get_itczposition(np.nanmean(pr_ocea_ldor[m, :, :], axis=0), lat, 30.0, 0.1)
+
+print(np.nanmedian((itcz_tm_ocea_ldor-itcz_tm_ocea_ldct)[modlist_ldor]))
+print(np.nanmax((itcz_tm_ocea_ldor-itcz_tm_ocea_ldct)[modlist_ldor]))
+print(np.nanmin((itcz_tm_ocea_ldor-itcz_tm_ocea_ldct)[modlist_ldor]))
+
+print(np.nanmedian((itcz_tm_land_ldor-itcz_tm_land_ldct)[modlist_ldor]))
+print(np.nanmax((itcz_tm_land_ldor-itcz_tm_land_ldct)[modlist_ldor]))
+print(np.nanmin((itcz_tm_land_ldor-itcz_tm_land_ldct)[modlist_ldor]))
+
+#print('Diagnostics for cam3')
+#print('itcz_ocea_ldct:', itcz_ocea_ldct[8, :])
+#print('itcz_land_ldct:', itcz_land_ldct[8, :])
+#print('itcz_ocea_ldor:', itcz_ocea_ldor[8, :])
+#print('itcz_land_ldor:', itcz_land_ldor[8, :])
+#print(np.nanmean(pr_land_ldct[8, :, :], axis=0))
+#print(pr_ldct[8, 0, :, :])
+
+#print('Diagnostics for cam4')
+#print('itcz_ocea_ldct:', itcz_ocea_ldct[9, :])
+#print('itcz_land_ldct:', itcz_land_ldct[9, :])
+#print('itcz_ocea_ldor:', itcz_ocea_ldor[9, :])
+#print('itcz_land_ldor:', itcz_land_ldor[9, :])
+#print(np.nanmean(pr_land_ldct[9, :, :], axis=0))
+#print(pr_ldct[9, 0, :, :])
+
+
+plt.show()
diff --git a/ramadda/dts_LandControl_minus_AquaControl_latlontimemean.py b/ramadda/dts_LandControl_minus_AquaControl_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd647d4da9b39c386f585b5a99b330c83d0d8e30
--- /dev/null
+++ b/ramadda/dts_LandControl_minus_AquaControl_latlontimemean.py
@@ -0,0 +1,88 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+import tracmipmodels as tracmipmodels
+
+def make_niceplot(ax, modelname):
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''], fontsize=11)
+ ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.yaxis.set_ticklabels([''], fontsize=11)
+ plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \
+ transform=ax.transAxes, backgroundcolor='white')
+ plt.xlim(-175, 175), plt.ylim(-0.98, 0.98)
+
+# load ts data
+file = np.load('ts_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+ts_aqct = file['ts_aqct']
+ts_ldct = file['ts_ldct']
+
+nmod = ts_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# plotting
+plt.figure(figsize=(18, 20), dpi=80, facecolor='w', edgecolor='k' )
+clev = np.array([-3.5, -3.0, -2.5, -2.0, -1.5, -1.0, -0.5, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5])
+
+ax = plt.subplot(5, 3, 1)
+c = plt.contourf(lon, sinlat, np.nanmedian((ts_ldct-ts_aqct)[modlist_ldct], axis=0), clev, extend='both', cmap=cm.RdBu_r)
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.plot([-200, 200], [0, 0], 'k--')
+make_niceplot(ax, 'Model median')
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+ax = plt.subplot(5, 3, 2)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-3, -2, -1, 0, 1, 2, 3], orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=11)
+plt.text(1, -0.17, 'K', fontsize=11, ha='right')
+
+for m in modlist_ldct:
+ if modelnames[m] == 'AM2.1' : msubplot = 3
+ if modelnames[m] == 'CAM3' : msubplot = 4
+ if modelnames[m] == 'CAM4' : msubplot = 5
+ if modelnames[m] == 'CAM5Nor' : msubplot = 6
+ if modelnames[m] == 'CNRM-AM5' : msubplot = 7
+ if modelnames[m] == 'ECHAM6.1' : msubplot = 8
+ if modelnames[m] == 'ECHAM6.3' : msubplot = 9
+ if modelnames[m] == 'LMDZ5A' : msubplot = 10
+ if modelnames[m] == 'MetUM-CTL': msubplot = 11
+ if modelnames[m] == 'MetUM-ENT': msubplot = 12
+ if modelnames[m] == 'MIROC5' : msubplot = 13
+ if modelnames[m] == 'MPAS' : msubplot = 14
+ if modelnames[m] == 'CALTECH' : msubplot = 15
+ ax = plt.subplot(5, 3, msubplot)
+ c = plt.contourf(lon, sinlat, (ts_ldct-ts_aqct)[m, :, :], clev, extend='both', cmap=cm.RdBu_r)
+ ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ plt.plot([-200, 200], [0, 0], 'k--')
+ make_niceplot(ax, modelnames[m])
+ if (msubplot == 13) or (msubplot == 14) or (msubplot ==15):
+ ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11)
+ if msubplot in [1, 4, 7, 10, 13]:
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)
+
+plt.subplots_adjust(wspace=0.04, hspace=0.05)
+plt.tight_layout
+
+plt.savefig('figs/dts_latlontimemean_LandControl_minus_AquaControl_allmodels.pdf')
+
+plt.show()
diff --git a/ramadda/figs/climatesensitivity.pdf b/ramadda/figs/climatesensitivity.pdf
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diff --git a/ramadda/hydrologicalsensitivity.py b/ramadda/hydrologicalsensitivity.py
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index 0000000000000000000000000000000000000000..0e4d47b1c2a351880edd298c06f8b767dc4df697
--- /dev/null
+++ b/ramadda/hydrologicalsensitivity.py
@@ -0,0 +1,92 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# load global mean pr and ts data
+file = np.load('pr_globaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_aq4x = file['pr_aq4x']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+pr_ldor = file['pr_ldor']
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+
+nmod = pr_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# plotting
+fig = plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+plt.plot(273.15+14.3, 2.67, 'kx', ms=12, mew=3)
+xfit = np.linspace(286, 310, 100)
+yfit = 2.67 + 0.02*(xfit - (273.15+14.3) )*2.7; plt.plot(xfit, yfit, 'k')
+for i in range(0, nmod):
+ plt.text(ts_aqct[i], pr_aqct[i], modelnumbers[i], ha='center', va='center', color='royalblue', fontsize=14, fontweight='bold')
+for i in range(1, nmod-1):
+ plt.text(ts_ldct[i], pr_ldct[i], modelnumbers[i], ha='center', va='center', color='chocolate', fontsize=14, fontweight='bold')
+plt.xlim(287, 302), plt.ylim(2.6, 4.5)
+plt.xlabel('Surface temperature (K)')
+plt.ylabel('Precipitation (mm/day)')
+plt.text(1, 0.12, 'AquaControl', color='royalblue' , fontsize=12, fontweight='normal', ha='right', transform=ax.transAxes)
+plt.text(1, 0.05, 'LandControl', color='chocolate', fontsize=12, fontweight='normal', ha='right', transform=ax.transAxes)
+plt.text(0.02, 1.0, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+plt.title('Control climate', fontsize=14)
+plt.text(300, 3.3, '2%/K', fontsize=12)
+plt.text(289, 2.7, 'present-day', fontsize=12, fontstyle='italic')
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+xfit = np.linspace(0, 15, 100)
+yfit = 2*xfit; plt.plot(xfit, yfit, 'k')
+plt.xlim(0, 12), plt.ylim(0, 22)
+for i in range(0, nmod):
+ plt.text(ts_aq4x[i] - ts_aqct[i], 100*(pr_aq4x[i] - pr_aqct[i])/pr_aqct[i], \
+ modelnumbers[i], color='royalblue', fontsize=14, fontweight='bold')
+for i in range(1, nmod-1):
+ plt.text(ts_ld4x[i] - ts_ldct[i], 100*(pr_ld4x[i] - pr_ldct[i])/pr_ldct[i], \
+ modelnumbers[i], color='chocolate', fontsize=14, fontweight='bold')
+plt.xlabel('Surface temperature change (K)')
+plt.ylabel('Precipitation change (%)')
+plt.text(1, 0.12, 'Aqua4xCO2 - AquaControl', ha='right', va='center', color='royalblue' , fontsize=12, fontweight='normal', transform=ax.transAxes)
+plt.text(1, 0.05, 'Land4xCO2 - LandControl', ha='right', va='center', color='chocolate', fontsize=12, fontweight='normal', transform=ax.transAxes)
+plt.text(0.02, 1.0, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+plt.title('4xCO2', fontsize=14)
+plt.text(10, 20, '2%/K', fontsize=12)
+
+plt.tight_layout
+
+plt.savefig('figs/hydrologicalsensitivity.pdf')
+
+print(np.nanmedian(pr_aqct))
+print(pr_aqct)
+
+r, _, corr, p, _ = spstats.linregress(ts_aq4x - ts_aqct, (pr_aq4x - pr_aqct)/pr_aqct)
+print(r, corr, p)
+
+r, _, corr, p, _ = spstats.linregress(ts_ld4x[1:11] - ts_ldct[1:11], (pr_ld4x[1:11] - pr_ldct[1:11])/pr_ldct[1:11])
+print(r, corr, p)
+
+plt.show()
diff --git a/ramadda/itcz_AquaControl_vs_LandControl_vs_LandOrbit.py b/ramadda/itcz_AquaControl_vs_LandControl_vs_LandOrbit.py
new file mode 100644
index 0000000000000000000000000000000000000000..bf6a1d9990e804f74367a501ae89ee527b74a921
--- /dev/null
+++ b/ramadda/itcz_AquaControl_vs_LandControl_vs_LandOrbit.py
@@ -0,0 +1,158 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+
+# load pr and ts data
+file = np.load('pr_zonaltimemean.npz')
+lat = file['lat']
+pr_aqct_tm = file['pr_aqct']
+pr_ldct_tm = file['pr_ldct']
+pr_ldor_tm = file['pr_ldor']
+
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_ldct_mm = file['pr_ldct']
+pr_ldor_mm = file['pr_ldor']
+
+nmod = pr_aqct_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_ldct_tm = np.zeros(nmod)
+itcz_ldor_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+ itcz_ldct_tm[i] = atm.get_itczposition(pr_ldct_tm[i, :], lat, 30, 0.1)
+ itcz_ldor_tm[i] = atm.get_itczposition(pr_ldor_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_ldct_mm = np.zeros((nmod, 12))
+itcz_ldor_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_ldct_mm[i, t] = atm.get_itczposition(pr_ldct_mm[i, t, :], lat, 30, 0.1)
+ itcz_ldor_mm[i, t] = atm.get_itczposition(pr_ldor_mm[i, t, :], lat, 30, 0.1)
+
+
+# plotting
+fig = plt.figure( figsize=(13, 7), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 3, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(lat, pr_aqct_tm[m, :], 'gray')
+plt.plot(lat, np.nanmedian(pr_aqct_tm, axis=0), 'k', linewidth=2)
+plt.xlim(-40, 40), plt.ylim(0, 18)
+ax.xaxis.set_ticks([-30, -15, 0, 15, 30])
+ax.xaxis.set_ticklabels([r'30$^o$S', r'15$^o$S', 'Eq', r'15$^o$S', r'30$^o$S'], fontsize=10)
+ax.yaxis.set_ticks([0, 4, 8, 12, 16])
+ax.yaxis.set_ticklabels([0, 4, 8, 12, 16], fontsize=10)
+plt.title('AquaControl', fontsize=14)
+plt.xlabel('latitude', fontsize=12)
+plt.ylabel('annual precipitation (mm/day)', fontsize=12)
+
+ax = plt.subplot(2, 3, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(lat, (pr_ldct_tm-pr_aqct_tm)[m, :], 'gray')
+plt.plot(lat, np.nanmedian(pr_ldct_tm-pr_aqct_tm, axis=0), 'k', linewidth=2)
+plt.xlim(-40, 40), plt.ylim(-2.5, 2.5)
+ax.xaxis.set_ticks([-30, -15, 0, 15, 30])
+ax.xaxis.set_ticklabels([r'30$^o$S', r'15$^o$S', 'Eq', r'15$^o$S', r'30$^o$S'], fontsize=10)
+ax.yaxis.set_ticks([-2, -1, 0, 1, 2])
+ax.yaxis.set_ticklabels([-2, -1, 0, 1, 2], fontsize=10)
+plt.title('LandControl - AquaControl')
+plt.xlabel('latitude', fontsize=12)
+
+ax = plt.subplot(2, 3, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(lat, (pr_ldor_tm-pr_ldct_tm)[m, :], 'gray')
+plt.plot(lat, np.nanmedian(pr_ldor_tm-pr_ldct_tm, axis=0), 'k', linewidth=2)
+plt.xlim(-40, 40), plt.ylim(-0.8, 0.8)
+ax.xaxis.set_ticks([-30, -15, 0, 15, 30])
+ax.xaxis.set_ticklabels([r'30$^o$S', r'15$^o$S', 'Eq', r'15$^o$S', r'30$^o$S'], fontsize=10)
+ax.yaxis.set_ticks([-0.6, -0.3, 0, 0.3, 0.6])
+ax.yaxis.set_ticklabels([-0.6, -0.3, 0, 0.3, 0.6], fontsize=10)
+plt.title('LandOrbit- LandControl', fontsize=14)
+plt.xlabel('latitude', fontsize=12)
+
+ax = plt.subplot(2, 3, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(month, itcz_aqct_mm[m, :], 'gray')
+plt.plot(month, np.nanmedian(itcz_aqct_mm, axis=0), 'k', linewidth=2)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10])
+ax.yaxis.set_ticklabels([r'10$^o$S', r'5$^o$S', 'Eq', r'5$^o$S', r'10$^o$S'], fontsize=10)
+plt.xlabel('month')
+plt.ylabel('ITCZ position (deg lat)')
+
+ax = plt.subplot(2, 3, 5)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(month, (itcz_ldct_mm-itcz_aqct_mm)[m, :], 'gray')
+plt.plot(month, np.nanmedian(itcz_ldct_mm-itcz_aqct_mm, axis=0), 'k', linewidth=2)
+plt.xlim(1, 12), plt.ylim(-10, 10)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10])
+ax.yaxis.set_ticklabels([r'10$^o$S', r'5$^o$S', 'Eq', r'5$^o$S', r'10$^o$S'], fontsize=10)
+plt.xlabel('month')
+
+ax = plt.subplot(2, 3, 6)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(month, (itcz_ldor_mm-itcz_ldct_mm)[m, :], 'gray')
+plt.plot(month, np.nanmedian(itcz_ldor_mm-itcz_ldct_mm, axis=0), 'k', linewidth=2)
+plt.xlim(1, 12), plt.ylim(-2, 2)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-2, -1, 0, 1, 2])
+ax.yaxis.set_ticklabels([r'2$^o$S', r'1$^o$S', 'Eq', r'1$^o$S', r'2$^o$S'], fontsize=10)
+plt.xlabel('month')
+
+plt.tight_layout
+plt.savefig('figs/itcz_AquaControl_vs_LandControl_vs_LandOrbit.pdf')
+
+print(np.nanmedian(itcz_aqct_tm-itcz_ldct_tm))
+print(itcz_aqct_tm-itcz_ldct_tm)
+
+
+plt.show()
diff --git a/ramadda/itcz_LandControl_vs_LandOrbit.py b/ramadda/itcz_LandControl_vs_LandOrbit.py
new file mode 100644
index 0000000000000000000000000000000000000000..c32ce9b26d6bbc3cb910e0206b99168bd5466b4d
--- /dev/null
+++ b/ramadda/itcz_LandControl_vs_LandOrbit.py
@@ -0,0 +1,133 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load pr and ts data
+file = np.load('pr_zonaltimemean.npz')
+lat = file['lat']
+pr_ldct_tm = file['pr_ldct']
+pr_ldor_tm = file['pr_ldor']
+
+file = np.load('pr_zonalmonthmean.npz')
+pr_ldct_mm = file['pr_ldct']
+pr_ldor_mm = file['pr_ldor']
+
+nmod = pr_ldct_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_ldct_tm = np.zeros(nmod)
+itcz_ldor_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_ldct_tm[i] = atm.get_itczposition(pr_ldct_tm[i, :], lat, 30, 0.1)
+ itcz_ldor_tm[i] = atm.get_itczposition(pr_ldor_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_ldct_mm = np.zeros((nmod, 12))
+itcz_ldor_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_ldct_mm[i, t] = atm.get_itczposition(pr_ldct_mm[i, t, :], lat, 30, 0.1)
+ itcz_ldor_mm[i, t] = atm.get_itczposition(pr_ldor_mm[i, t, :], lat, 30, 0.1)
+
+
+# plotting
+fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(lat, pr_ldct_tm[m, :], color=modelcolors[m])
+plt.plot(lat, np.nanmedian(pr_ldct_tm, axis=0), 'k', linewidth=2)
+plt.xlim(-40, 40), plt.ylim(0, 12)
+ax.xaxis.set_ticks([-30, -15, 0, 15, 30])
+ax.xaxis.set_ticklabels(['30S', '15S', 'Eq', '15N', '30N'], fontsize=10)
+ax.yaxis.set_ticks([0, 4, 8, 12])
+ax.yaxis.set_ticklabels([0, 4, 8, 12], fontsize=10)
+plt.title('LandControl')
+#plt.xlabel('latitude', fontsize=12)
+plt.ylabel('precipitation (mm/day)', fontsize=12)
+
+ax = plt.subplot(2, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(lat, (pr_ldor_tm-pr_ldct_tm)[m, :], color=modelcolors[m])
+plt.plot(lat, np.nanmedian(pr_ldor_tm-pr_ldct_tm, axis=0), 'k', linewidth=2)
+plt.xlim(-40, 40), plt.ylim(-0.8, 0.8)
+ax.xaxis.set_ticks([-30, -15, 0, 15, 30])
+ax.xaxis.set_ticklabels(['30S', '15S', 'Eq', '15N', '30N'], fontsize=10)
+ax.yaxis.set_ticks([-0.6, -0.3, 0, 0.3, 0.6])
+ax.yaxis.set_ticklabels([-0.6, -0.3, 0, 0.3, 0.6], fontsize=10)
+plt.title('LandOrbit-LandControl', fontsize=14)
+#plt.xlabel('latitude', fontsize=12)
+plt.ylabel('precipitation change (mm/day)', fontsize=12)
+
+ax = plt.subplot(2, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, itcz_ldct_mm[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_ldct_mm, axis=0), 'k', linewidth=2)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5S', '10S'], fontsize=10)
+plt.xlabel('month')
+plt.ylabel('ITCZ position (deg lat)')
+
+ax = plt.subplot(2, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, (itcz_ldor_mm-itcz_ldct_mm)[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_ldor_mm-itcz_ldct_mm, axis=0), 'k', linewidth=2)
+plt.xlim(1, 12), plt.ylim(-2, 2)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-2, -1, 0, 1, 2])
+ax.yaxis.set_ticklabels([-2, -1, 0, 1, 2], fontsize=10)
+plt.xlabel('month')
+plt.ylabel('ITCZ shift (deg lat)')
+
+plt.tight_layout
+plt.savefig('figs/itcz_LandControl_vs_LandOrbit.pdf')
+
+
+print(itcz_ldor_tm - itcz_ldct_tm)
+print(np.nanmax(itcz_ldor_tm - itcz_ldct_tm))
+print(np.nanmin(itcz_ldor_tm - itcz_ldct_tm))
+print(np.nanmedian(itcz_ldor_tm - itcz_ldct_tm))
+
+plt.show()
diff --git a/ramadda/itcz_versus_tropicalts.py b/ramadda/itcz_versus_tropicalts.py
new file mode 100644
index 0000000000000000000000000000000000000000..a74de219b85281abb3e06ae94482119dae1ce527
--- /dev/null
+++ b/ramadda/itcz_versus_tropicalts.py
@@ -0,0 +1,191 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+# load pr and ts data
+file = np.load('pr_zonaltimemean.npz')
+lat = file['lat']
+pr_aqct_tm = file['pr_aqct']
+pr_aq4x_tm = file['pr_aq4x']
+pr_ldct_tm = file['pr_ldct']
+pr_ld4x_tm = file['pr_ld4x']
+
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_aq4x_mm = file['pr_aq4x']
+pr_ldct_mm = file['pr_ldct']
+pr_ld4x_mm = file['pr_ld4x']
+
+file = np.load('ts_zonaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+
+print(ts_aqct.shape)
+
+nmod = ts_aqct[:, 0].size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+
+# analysis
+#tropical temperature
+area = np.cos(lat*np.pi/180.0)
+area[np.abs(lat)>30]=np.nan
+tstrop_aqct = np.zeros(nmod) + np.nan
+tstrop_aq4x = np.zeros(nmod) + np.nan
+tstrop_ldct = np.zeros(nmod) + np.nan
+tstrop_ld4x = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ print(m)
+ tstrop_aqct[m] = np.nansum(ts_aqct[m, :]*area)/np.nansum(area)
+ tstrop_aq4x[m] = np.nansum(ts_aq4x[m, :]*area)/np.nansum(area)
+ tstrop_ldct[m] = np.nansum(ts_ldct[m, :]*area)/np.nansum(area)
+ tstrop_ld4x[m] = np.nansum(ts_ld4x[m, :]*area)/np.nansum(area)
+
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_aq4x_tm = np.zeros(nmod)
+itcz_ldct_tm = np.zeros(nmod)
+itcz_ld4x_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+ itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], lat, 30, 0.1)
+ itcz_ldct_tm[i] = atm.get_itczposition(pr_ldct_tm[i, :], lat, 30, 0.1)
+ itcz_ld4x_tm[i] = atm.get_itczposition(pr_ld4x_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_aq4x_mm = np.zeros((nmod, 12))
+itcz_ldct_mm = np.zeros((nmod, 12))
+itcz_ld4x_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, 12):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], lat, 30, 0.1)
+ itcz_ldct_mm[i, t] = atm.get_itczposition(pr_ldct_mm[i, t, :], lat, 30, 0.1)
+ itcz_ld4x_mm[i, t] = atm.get_itczposition(pr_ld4x_mm[i, t, :], lat, 30, 0.1)
+
+# plotting
+fig = plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+#ax.spines['bottom'].set_position('zero')
+
+plt.plot([200, 400], [0, 0], 'k:')
+# crosses for seasonal excursions
+for i in modlist_aqct:
+ plt.plot(tstrop_aqct[i], np.min(itcz_aqct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(tstrop_aqct[i], np.max(itcz_aqct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+for i in modlist_aq4x:
+ plt.plot(tstrop_aq4x[i], np.min(itcz_aq4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(tstrop_aq4x[i], np.max(itcz_aq4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+# model numbers
+for i in modlist_aqct:
+ plt.text(tstrop_aqct[i], itcz_aqct_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='bold', ha='center', va='center', backgroundcolor='none')
+for i in modlist_aq4x:
+ plt.text(tstrop_aq4x[i], itcz_aq4x_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='bold', ha='center', va='center', backgroundcolor='none')
+
+plt.xlim(288, 308), plt.ylim(-11, 21)
+plt.xlabel('Surface temperature (K)', fontsize=12)
+plt.ylabel('ITCZ (deg lat)', fontsize=12)
+plt.title('Aquaplanet simulations', fontsize=14)
+ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])
+ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])
+ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)
+plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+# fit through annual-mean itcz and northern and southern seasonal excursions
+# with respect to surface temperature
+xfit = np.linspace(280, 320, 100)
+xdata = np.concatenate((tstrop_aqct[modlist_aqct], tstrop_aq4x[modlist_aq4x]))
+ydata = np.concatenate((itcz_aqct_tm[modlist_aqct], itcz_aq4x_tm[modlist_aq4x]))
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)
+print('Aqua, annual-mean:', r, p)
+xdata = np.concatenate((tstrop_aqct[modlist_aqct], tstrop_aq4x[modlist_aq4x]))
+ydata =np.nanmin(np.concatenate((itcz_aqct_mm[modlist_aqct], itcz_aq4x_mm[modlist_aq4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Aqua, southern edge:', r, p)
+xdata = np.concatenate((tstrop_aqct[modlist_aqct], tstrop_aq4x[modlist_aq4x]))
+ydata =np.nanmax(np.concatenate((itcz_aqct_mm[modlist_aqct], itcz_aq4x_mm[modlist_aq4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Aqua, northern edge:', r, p)
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+#ax.spines['bottom'].set_position('zero')
+
+plt.plot([200, 400], [0, 0], 'k:')
+# crosses for seasonal excursions
+for i in modlist_ldct:
+ plt.plot(tstrop_ldct[i], np.min(itcz_ldct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(tstrop_ldct[i], np.max(itcz_ldct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+for i in modlist_ld4x:
+ plt.plot(tstrop_ld4x[i], np.min(itcz_ld4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(tstrop_ld4x[i], np.max(itcz_ld4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+# model numbers
+for i in modlist_ldct:
+ plt.text(tstrop_ldct[i], itcz_ldct_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='bold', ha='center', va='center', backgroundcolor='none')
+for i in modlist_ld4x:
+ plt.text(tstrop_ld4x[i], itcz_ld4x_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='bold', ha='center', va='center', backgroundcolor='none')
+
+plt.xlim(288, 308), plt.ylim(-11, 21)
+plt.xlabel('Surface temperature (K)', fontsize=12)
+#plt.ylabel('ITCZ (deg lat)', fontsize=12)
+plt.title('Land simulations', fontsize=14)
+ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])
+ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])
+ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)
+plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+# fit through annual-mean itcz and northern and southern seasonal excursions
+# with respect to surface temperature
+xfit = np.linspace(280, 320, 100)
+xdata = np.concatenate((tstrop_ldct[modlist_ldct], tstrop_ld4x[modlist_ld4x]))
+ydata = np.concatenate((itcz_ldct_tm[modlist_ldct], itcz_ld4x_tm[modlist_ld4x]))
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)
+print('Land, annual-mean:', r, p)
+xdata = np.concatenate((tstrop_ldct[modlist_ldct], tstrop_ld4x[modlist_ld4x]))
+ydata =np.nanmin(np.concatenate((itcz_ldct_mm[modlist_ldct], itcz_ld4x_mm[modlist_ld4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Land, southern edge:', r, p)
+xdata = np.concatenate((tstrop_ldct[modlist_ldct], tstrop_ld4x[modlist_ld4x]))
+ydata =np.nanmax(np.concatenate((itcz_ldct_mm[modlist_ldct], itcz_ld4x_mm[modlist_ld4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Land, northern edge:', r, p)
+
+plt.tight_layout
+
+plt.savefig('figs/itcz_versus_tropicalts_aqua_land.pdf')
+
+plt.show()
diff --git a/ramadda/itcz_versus_ts.py b/ramadda/itcz_versus_ts.py
new file mode 100644
index 0000000000000000000000000000000000000000..adf5c167e883430453d33aeb799516fd0d0deeb9
--- /dev/null
+++ b/ramadda/itcz_versus_ts.py
@@ -0,0 +1,199 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+# load pr and ts data
+file = np.load('pr_zonaltimemean.npz')
+lat = file['lat']
+pr_aqct_tm = file['pr_aqct']
+pr_aq4x_tm = file['pr_aq4x']
+pr_ldct_tm = file['pr_ldct']
+pr_ld4x_tm = file['pr_ld4x']
+
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_aq4x_mm = file['pr_aq4x']
+pr_ldct_mm = file['pr_ldct']
+pr_ld4x_mm = file['pr_ld4x']
+
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+
+nmod = ts_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+
+# analysis
+
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_aq4x_tm = np.zeros(nmod)
+itcz_ldct_tm = np.zeros(nmod)
+itcz_ld4x_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+ itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], lat, 30, 0.1)
+ itcz_ldct_tm[i] = atm.get_itczposition(pr_ldct_tm[i, :], lat, 30, 0.1)
+ itcz_ld4x_tm[i] = atm.get_itczposition(pr_ld4x_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_aq4x_mm = np.zeros((nmod, 12))
+itcz_ldct_mm = np.zeros((nmod, 12))
+itcz_ld4x_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, 12):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], lat, 30, 0.1)
+ itcz_ldct_mm[i, t] = atm.get_itczposition(pr_ldct_mm[i, t, :], lat, 30, 0.1)
+ itcz_ld4x_mm[i, t] = atm.get_itczposition(pr_ld4x_mm[i, t, :], lat, 30, 0.1)
+
+# plotting
+fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+#ax.spines['bottom'].set_position('zero')
+
+plt.plot([200, 400], [0, 0], 'k:')
+# crosses for seasonal excursions
+for i in modlist_aqct:
+ plt.plot(ts_aqct[i], np.min(itcz_aqct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(ts_aqct[i], np.max(itcz_aqct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+for i in modlist_aq4x:
+ plt.plot(ts_aq4x[i], np.min(itcz_aq4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(ts_aq4x[i], np.max(itcz_aq4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+# model numbers
+for i in modlist_aqct:
+ plt.text(ts_aqct[i], itcz_aqct_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='normal', ha='center', va='center', backgroundcolor='none')
+for i in modlist_aq4x:
+ plt.text(ts_aq4x[i], itcz_aq4x_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='normal', ha='center', va='center', backgroundcolor='none')
+
+plt.xlim(288, 308), plt.ylim(-11, 21)
+plt.xlabel('Surface temperature (K)', fontsize=12)
+plt.ylabel('ITCZ (deg lat)', fontsize=12)
+plt.title('Aquaplanet simulations', fontsize=14)
+ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])
+ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])
+ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)
+plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+# fit through annual-mean itcz and northern and southern seasonal excursions
+# with respect to surface temperature
+xfit = np.linspace(280, 320, 100)
+xdata = np.concatenate((ts_aqct[modlist_aqct], ts_aq4x[modlist_aq4x]))
+ydata = np.concatenate((itcz_aqct_tm[modlist_aqct], itcz_aq4x_tm[modlist_aq4x]))
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)
+print('Aqua, annual-mean:', r, p)
+xdata = np.concatenate((ts_aqct[modlist_aqct], ts_aq4x[modlist_aq4x]))
+ydata =np.nanmin(np.concatenate((itcz_aqct_mm[modlist_aqct], itcz_aq4x_mm[modlist_aq4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Aqua, southern edge:', r, p)
+xdata = np.concatenate((ts_aqct[modlist_aqct], ts_aq4x[modlist_aq4x]))
+ydata =np.nanmax(np.concatenate((itcz_aqct_mm[modlist_aqct], itcz_aq4x_mm[modlist_aq4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Aqua, northern edge:', r, p)
+
+ax = plt.subplot(2, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+#ax.spines['bottom'].set_position('zero')
+
+plt.plot([200, 400], [0, 0], 'k:')
+# crosses for seasonal excursions
+for i in modlist_ldct:
+ plt.plot(ts_ldct[i], np.min(itcz_ldct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(ts_ldct[i], np.max(itcz_ldct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+for i in modlist_ld4x:
+ plt.plot(ts_ld4x[i], np.min(itcz_ld4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)
+ plt.plot(ts_ld4x[i], np.max(itcz_ld4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)
+# model numbers
+for i in modlist_ldct:
+ plt.text(ts_ldct[i], itcz_ldct_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='normal', ha='center', va='center', backgroundcolor='none')
+for i in modlist_ld4x:
+ plt.text(ts_ld4x[i], itcz_ld4x_tm[i], modelnumbers[i], color=modelcolors[i], fontsize=14, \
+ fontweight='normal', ha='center', va='center', backgroundcolor='none')
+
+plt.xlim(288, 308), plt.ylim(-11, 21)
+plt.xlabel('Surface temperature (K)', fontsize=12)
+#plt.ylabel('ITCZ (deg lat)', fontsize=12)
+plt.title('Land simulations', fontsize=14)
+ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])
+ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])
+ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)
+plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+# fit through annual-mean itcz and northern and southern seasonal excursions
+# with respect to surface temperature
+xfit = np.linspace(280, 320, 100)
+xdata = np.concatenate((ts_ldct[modlist_ldct], ts_ld4x[modlist_ld4x]))
+ydata = np.concatenate((itcz_ldct_tm[modlist_ldct], itcz_ld4x_tm[modlist_ld4x]))
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)
+print('Land, annual-mean:', r, p)
+xdata = np.concatenate((ts_ldct[modlist_ldct], ts_ld4x[modlist_ld4x]))
+ydata =np.nanmin(np.concatenate((itcz_ldct_mm[modlist_ldct], itcz_ld4x_mm[modlist_ld4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Land, southern edge:', r, p)
+xdata = np.concatenate((ts_ldct[modlist_ldct], ts_ld4x[modlist_ld4x]))
+ydata =np.nanmax(np.concatenate((itcz_ldct_mm[modlist_ldct], itcz_ld4x_mm[modlist_ld4x])), axis=1)
+r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)
+print('Land, northern edge:', r, p)
+
+ax = plt.subplot(2, 2, 3)
+plt.xlim(0, 1), plt.ylim(0, 1)
+plt.axis('off')
+ystart=1.0
+delta=0.0666
+for m in modlist_aqct:
+ if np.int(modelnumbers[m])<4:
+ plt.text(0.1, ystart-delta*np.float(modelnumbers[m]), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.15, ystart-delta*np.float(modelnumbers[m]), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<7:
+ plt.text(0.5, ystart-delta*(np.float(modelnumbers[m])-3), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.55, ystart-delta*(np.float(modelnumbers[m])-3), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<10:
+ plt.text(0.9, ystart-delta*(np.float(modelnumbers[m])-6), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.95, ystart-delta*(np.float(modelnumbers[m])-6), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<13:
+ plt.text(1.3, ystart-delta*(np.float(modelnumbers[m])-9), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.4, ystart-delta*(np.float(modelnumbers[m])-9), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<15:
+ plt.text(1.7, ystart-delta*(np.float(modelnumbers[m])-12), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.8, ystart-delta*(np.float(modelnumbers[m])-12), modelnames[m], color=modelcolors[m], fontsize=14)
+
+
+plt.tight_layout
+
+plt.savefig('figs/itcz_versus_ts_aqua_land.pdf')
+
+plt.show()
diff --git a/ramadda/itcz_zonaltimemean_AquaControl_vs_LandControl.py b/ramadda/itcz_zonaltimemean_AquaControl_vs_LandControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..b7db7618bf5c661b0161d06076d066831d1e087c
--- /dev/null
+++ b/ramadda/itcz_zonaltimemean_AquaControl_vs_LandControl.py
@@ -0,0 +1,73 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+# loading data
+print('Load zonal time mean pr')
+file = np.load('pr_zonaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_ldct = file['pr_ldct']
+lat = file['lat']
+
+nmod = pr_aqct[:, 0].size
+nlat = lat.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_aqct = np.zeros(nmod)
+itcz_ldct = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct[i] = atm.get_itczposition(pr_aqct[i, :], lat, 30, 0.1)
+ itcz_ldct[i] = atm.get_itczposition(pr_ldct[i, :], lat, 30, 0.1)
+
+# plotting
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [-20, 20], 'k--')
+for i in range(1, 11):
+ plt.text(itcz_aqct[i], itcz_ldct[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('Zonal time mean ITCZ (deg lat)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl', fontsize=12)
+plt.xlim(1, 12), plt.ylim(1, 12)
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for i in range(1, 11):
+ plt.text(itcz_aqct[i], (itcz_ldct-itcz_aqct)[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('ITCZ change (deg lat)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl - AquaControl', fontsize=12)
+plt.xlim(1, 12), plt.ylim(-5, 1)
+
+plt.tight_layout
+plt.savefig('figs/itcz_zonaltimemean_AquaControl_LandControl.pdf')
+
+print(np.nanmedian(itcz_ldct-itcz_aqct))
+
+print(itcz_ldct-itcz_aqct)
+
+plt.show()
diff --git a/ramadda/mymodules/__pycache__/loaddata.cpython-34.pyc b/ramadda/mymodules/__pycache__/loaddata.cpython-34.pyc
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diff --git a/ramadda/mymodules/__pycache__/tracmipmodels.cpython-36.pyc b/ramadda/mymodules/__pycache__/tracmipmodels.cpython-36.pyc
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diff --git a/ramadda/mymodules/csv/AM2_AQUA.csv b/ramadda/mymodules/csv/AM2_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..ba4fda5808e166ff2101a3e1748a417f638f4a16
--- /dev/null
+++ b/ramadda/mymodules/csv/AM2_AQUA.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaControl_month.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0FNMi9BcXVhQ29udHJvbC9BcXVhQ29udHJvbF9tb250aC5uYw==,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9BcXVhQ29udHJvbC9BcXVhQ29udHJvbF9tb250aC5uYw%3D%3D,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaControl_month.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9BcXVhQ29udHJvbC9BcXVhQ29udHJvbF9tb250aC5uYw%3D%3D,
diff --git a/ramadda/mymodules/csv/AM2_AQUACO2.csv b/ramadda/mymodules/csv/AM2_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..4953faff333163de4977b00cb435d496388f7ffb
--- /dev/null
+++ b/ramadda/mymodules/csv/AM2_AQUACO2.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+Aqua4xCO2_month.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0FNMi9BcXVhNHhDTzIvQXF1YTR4Q08yX21vbnRoLm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9BcXVhNHhDTzIvQXF1YTR4Q08yX21vbnRoLm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/Aqua4xCO2_month.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9BcXVhNHhDTzIvQXF1YTR4Q08yX21vbnRoLm5j,
diff --git a/ramadda/mymodules/csv/AM2_LAND.csv b/ramadda/mymodules/csv/AM2_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..9152e23c895e6e03a802f768e1c2d3972d089550
--- /dev/null
+++ b/ramadda/mymodules/csv/AM2_LAND.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+LandControl_month.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0FNMi9MYW5kQ29udHJvbC9MYW5kQ29udHJvbF9tb250aC5uYw==,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9MYW5kQ29udHJvbC9MYW5kQ29udHJvbF9tb250aC5uYw%3D%3D,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/LandControl_month.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9MYW5kQ29udHJvbC9MYW5kQ29udHJvbF9tb250aC5uYw%3D%3D,
diff --git a/ramadda/mymodules/csv/AM2_LANDCO2.csv b/ramadda/mymodules/csv/AM2_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..2037cf055c8b9751fd926393b5a0d5ae43e16fd7
--- /dev/null
+++ b/ramadda/mymodules/csv/AM2_LANDCO2.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+Land4xCO2_month.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0FNMi9MYW5kNHhDTzIvTGFuZDR4Q08yX21vbnRoLm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9MYW5kNHhDTzIvTGFuZDR4Q08yX21vbnRoLm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/Land4xCO2_month.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0FNMi9MYW5kNHhDTzIvTGFuZDR4Q08yX21vbnRoLm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_AQUA.csv b/ramadda/mymodules/csv/CALTECH_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..318c02e887c698c45132f9543a8b8c5fc622b9cd
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_AQUA.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaControl.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0FxdWFDb250cm9sL0FxdWFDb250cm9sLm1vbnRobHkubmM=,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFDb250cm9sL0FxdWFDb250cm9sLm1vbnRobHkubmM%3D,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaControl.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFDb250cm9sL0FxdWFDb250cm9sLm1vbnRobHkubmM%3D,
diff --git a/ramadda/mymodules/csv/CALTECH_AQUAABS0.7.csv b/ramadda/mymodules/csv/CALTECH_AQUAABS0.7.csv
new file mode 100755
index 0000000000000000000000000000000000000000..898b4c89ef3376058b1b3007fd0dd60460dbb1e4
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_AQUAABS0.7.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaAbs0.7.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0FxdWFBYnMwLjcvQXF1YUFiczAuNy5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMwLjcvQXF1YUFiczAuNy5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaAbs0.7.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMwLjcvQXF1YUFiczAuNy5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_AQUAABS1.5.csv b/ramadda/mymodules/csv/CALTECH_AQUAABS1.5.csv
new file mode 100755
index 0000000000000000000000000000000000000000..29ce531b9da29d3903a71e4456e8ca9614dc1125
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_AQUAABS1.5.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaAbs1.5.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaAbs1.5.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_AQUAABS2.0.csv b/ramadda/mymodules/csv/CALTECH_AQUAABS2.0.csv
new file mode 100755
index 0000000000000000000000000000000000000000..76d167882fd6d70773eb3730205920a5763cf3c4
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_AQUAABS2.0.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaAbs2.0.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0FxdWFBYnMyLjAvQXF1YUFiczIuMC5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMyLjAvQXF1YUFiczIuMC5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaAbs2.0.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMyLjAvQXF1YUFiczIuMC5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_AQUACO2.csv b/ramadda/mymodules/csv/CALTECH_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..29ce531b9da29d3903a71e4456e8ca9614dc1125
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_AQUACO2.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+AquaAbs1.5.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/AquaAbs1.5.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0FxdWFBYnMxLjUvQXF1YUFiczEuNS5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_LAND.csv b/ramadda/mymodules/csv/CALTECH_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..047586584673283ba701f55335705492cead46b9
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_LAND.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+LandControl.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0xhbmRDb250cm9sL0xhbmRDb250cm9sLm1vbnRobHkubmM=,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRDb250cm9sL0xhbmRDb250cm9sLm1vbnRobHkubmM%3D,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/LandControl.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRDb250cm9sL0xhbmRDb250cm9sLm1vbnRobHkubmM%3D,
diff --git a/ramadda/mymodules/csv/CALTECH_LANDABS0.7.csv b/ramadda/mymodules/csv/CALTECH_LANDABS0.7.csv
new file mode 100755
index 0000000000000000000000000000000000000000..d8ae9334f707894f76526bf000d3731ede03798d
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_LANDABS0.7.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+LandAbs0.7.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0xhbmRBYnMwLjcvTGFuZEFiczAuNy5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMwLjcvTGFuZEFiczAuNy5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/LandAbs0.7.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMwLjcvTGFuZEFiczAuNy5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_LANDABS1.5.csv b/ramadda/mymodules/csv/CALTECH_LANDABS1.5.csv
new file mode 100755
index 0000000000000000000000000000000000000000..88896f2ee1a03515287e8ae08235575b3eace96d
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_LANDABS1.5.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+LandAbs1.5.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0xhbmRBYnMxLjUvTGFuZEFiczEuNS5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMxLjUvTGFuZEFiczEuNS5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/LandAbs1.5.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMxLjUvTGFuZEFiczEuNS5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_LANDABS2.0.csv b/ramadda/mymodules/csv/CALTECH_LANDABS2.0.csv
new file mode 100755
index 0000000000000000000000000000000000000000..650ad0e0527f003115d39bda435653925183eaa7
--- /dev/null
+++ b/ramadda/mymodules/csv/CALTECH_LANDABS2.0.csv
@@ -0,0 +1,2 @@
+name,id,type,entry_url,north,south,east,west,url,fields
+LandAbs2.0.monthly.nc,synth:c74267a4-dcdd-4c30-ad10-784a279aa022:L0NhbHRlY2hHcmF5L0xhbmRBYnMyLjAvTGFuZEFiczIuMC5tb250aGx5Lm5j,file,https://weather.rsmas.miami.edu:443/repository/entry/show?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMyLjAvTGFuZEFiczIuMC5tb250aGx5Lm5j,-999999.0,-999999.0,-999999.0,-999999.0,https://weather.rsmas.miami.edu:443/repository/entry/get/LandAbs2.0.monthly.nc?entryid=synth%3Ac74267a4-dcdd-4c30-ad10-784a279aa022%3AL0NhbHRlY2hHcmF5L0xhbmRBYnMyLjAvTGFuZEFiczIuMC5tb250aGx5Lm5j,
diff --git a/ramadda/mymodules/csv/CALTECH_LANDCO2.csv b/ramadda/mymodules/csv/CALTECH_LANDCO2.csv
new file mode 100755
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new file mode 100755
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new file mode 100755
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new file mode 100755
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new file mode 100755
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new file mode 100755
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new file mode 100755
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diff --git a/ramadda/mymodules/csv/CNRM_AQUACO2.csv b/ramadda/mymodules/csv/CNRM_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..51f9f251111ab5c58577048344a68f698594ffa1
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRM_AQUACO2.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/CNRMv2_AQUA.csv b/ramadda/mymodules/csv/CNRMv2_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..cf9b57181f3e5927533296ca8b383266b13f24c3
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRMv2_AQUA.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/CNRMv2_AQUACO2.csv b/ramadda/mymodules/csv/CNRMv2_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..d0effd5cab66690b13272547fdc6ae7b2166bbde
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRMv2_AQUACO2.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/CNRMv2_LAND.csv b/ramadda/mymodules/csv/CNRMv2_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..2a54e87447f22d1e0cc6845b5d312f643962f6b0
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRMv2_LAND.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/CNRMv2_LANDCO2.csv b/ramadda/mymodules/csv/CNRMv2_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..fc2607fedd8a627612d768ea447e7daa4488f134
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRMv2_LANDCO2.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/CNRMv2_LORBIT.csv b/ramadda/mymodules/csv/CNRMv2_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..465914d07e1cc7756da5cd2ffd293368a21a80d2
--- /dev/null
+++ b/ramadda/mymodules/csv/CNRMv2_LORBIT.csv
@@ -0,0 +1,32 @@
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diff --git a/ramadda/mymodules/csv/ECHAM61_AQUA.csv b/ramadda/mymodules/csv/ECHAM61_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..faa984bc50a4a0dbeb2a297654d4b935c187865a
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM61_AQUA.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/ECHAM61_AQUACO2.csv b/ramadda/mymodules/csv/ECHAM61_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..4b7e77fd2303d70e1c9bed1c3495efd637304194
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM61_AQUACO2.csv
@@ -0,0 +1,46 @@
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diff --git a/ramadda/mymodules/csv/ECHAM61_LAND.csv b/ramadda/mymodules/csv/ECHAM61_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..06e8c63e0a0901d390f841b3279f2efe7521c5e9
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM61_LAND.csv
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diff --git a/ramadda/mymodules/csv/ECHAM61_LANDCO2.csv b/ramadda/mymodules/csv/ECHAM61_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..73ca28dc5abfc451feadd8b5fe485e659915df13
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM61_LANDCO2.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/ECHAM61_LORBIT.csv b/ramadda/mymodules/csv/ECHAM61_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..1a1a5a2ded09fb04258a97e37e7aa7784ee40709
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM61_LORBIT.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/ECHAM63_AQUA.csv b/ramadda/mymodules/csv/ECHAM63_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..244373709759b03759b839ef15775b3ee7a8d49c
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM63_AQUA.csv
@@ -0,0 +1,42 @@
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diff --git a/ramadda/mymodules/csv/ECHAM63_AQUACO2.csv b/ramadda/mymodules/csv/ECHAM63_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..9e0f55d78abbf65f4ae541c8391b38eb81b58cb1
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM63_AQUACO2.csv
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diff --git a/ramadda/mymodules/csv/ECHAM63_LAND.csv b/ramadda/mymodules/csv/ECHAM63_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..3c976caa495ce84af0741b178cdaa776e5a89afa
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM63_LAND.csv
@@ -0,0 +1,42 @@
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diff --git a/ramadda/mymodules/csv/ECHAM63_LANDCO2.csv b/ramadda/mymodules/csv/ECHAM63_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..d8d5f6983266b12c9efcd565d8fbb99ac0f2bff6
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM63_LANDCO2.csv
@@ -0,0 +1,42 @@
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diff --git a/ramadda/mymodules/csv/ECHAM63_LORBIT.csv b/ramadda/mymodules/csv/ECHAM63_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..a36be27aa1944e6ced75018d546f7d968f18d60f
--- /dev/null
+++ b/ramadda/mymodules/csv/ECHAM63_LORBIT.csv
@@ -0,0 +1,42 @@
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diff --git a/ramadda/mymodules/csv/GISS_AQUA.csv b/ramadda/mymodules/csv/GISS_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..c5644a2dd4aec1237424af73ed9d51d92a21ae55
--- /dev/null
+++ b/ramadda/mymodules/csv/GISS_AQUA.csv
@@ -0,0 +1,84 @@
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diff --git a/ramadda/mymodules/csv/GISS_AQUACO2.csv b/ramadda/mymodules/csv/GISS_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..2bc9bec476801404d7ba14abfe922958fd91db5f
--- /dev/null
+++ b/ramadda/mymodules/csv/GISS_AQUACO2.csv
@@ -0,0 +1,84 @@
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diff --git a/ramadda/mymodules/csv/IPSL_AQUA.csv b/ramadda/mymodules/csv/IPSL_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..41a7d0549ef88bd22f28d96ad5ef10fee2ffec53
--- /dev/null
+++ b/ramadda/mymodules/csv/IPSL_AQUA.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/IPSL_AQUACO2.csv b/ramadda/mymodules/csv/IPSL_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..728337e7cc198473a733d01e191f9bc691646050
--- /dev/null
+++ b/ramadda/mymodules/csv/IPSL_AQUACO2.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/IPSL_LAND.csv b/ramadda/mymodules/csv/IPSL_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..9129e5d4f305ac33a349d4314b54d2d901684c6f
--- /dev/null
+++ b/ramadda/mymodules/csv/IPSL_LAND.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/IPSL_LANDCO2.csv b/ramadda/mymodules/csv/IPSL_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..92eefd6188cea714f7d246fb5bb00c930cad3b4e
--- /dev/null
+++ b/ramadda/mymodules/csv/IPSL_LANDCO2.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/IPSL_LORBIT.csv b/ramadda/mymodules/csv/IPSL_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..d598b9781c1e66c33ab693c5abc4bf71a6d7be54
--- /dev/null
+++ b/ramadda/mymodules/csv/IPSL_LORBIT.csv
@@ -0,0 +1,44 @@
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diff --git a/ramadda/mymodules/csv/MIROC5_AQUA.csv b/ramadda/mymodules/csv/MIROC5_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..20c7c9ef8540ff3a7fb0cf1d190f71e7a4b768fd
--- /dev/null
+++ b/ramadda/mymodules/csv/MIROC5_AQUA.csv
@@ -0,0 +1,49 @@
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diff --git a/ramadda/mymodules/csv/MIROC5_AQUACO2.csv b/ramadda/mymodules/csv/MIROC5_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..ae3cbb26a1d24395a848dfffe3a1cd764c341839
--- /dev/null
+++ b/ramadda/mymodules/csv/MIROC5_AQUACO2.csv
@@ -0,0 +1,48 @@
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diff --git a/ramadda/mymodules/csv/MIROC5_LAND.csv b/ramadda/mymodules/csv/MIROC5_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..f6858fac0f2dd9a9a3416e90505dc68da9f3e87b
--- /dev/null
+++ b/ramadda/mymodules/csv/MIROC5_LAND.csv
@@ -0,0 +1,48 @@
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diff --git a/ramadda/mymodules/csv/MIROC5_LANDCO2.csv b/ramadda/mymodules/csv/MIROC5_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..1d51bed8ea90e058769f2a9dc70e7442aa550408
--- /dev/null
+++ b/ramadda/mymodules/csv/MIROC5_LANDCO2.csv
@@ -0,0 +1,48 @@
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diff --git a/ramadda/mymodules/csv/MIROC5_LORBIT.csv b/ramadda/mymodules/csv/MIROC5_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..5bf5b5d917a374be9cbacdd3c84f7ba50ac4d267
--- /dev/null
+++ b/ramadda/mymodules/csv/MIROC5_LORBIT.csv
@@ -0,0 +1,48 @@
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new file mode 100755
index 0000000000000000000000000000000000000000..b4fb0fd4f82cb79d1fd8b30d57f5bfaee6d90c2a
--- /dev/null
+++ b/ramadda/mymodules/csv/MPAS_AQUA.csv
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diff --git a/ramadda/mymodules/csv/MPAS_AQUACO2.csv b/ramadda/mymodules/csv/MPAS_AQUACO2.csv
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diff --git a/ramadda/mymodules/csv/MPAS_LAND.csv b/ramadda/mymodules/csv/MPAS_LAND.csv
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diff --git a/ramadda/mymodules/csv/MPAS_LANDCO2.csv b/ramadda/mymodules/csv/MPAS_LANDCO2.csv
new file mode 100755
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diff --git a/ramadda/mymodules/csv/MPAS_LORBIT.csv b/ramadda/mymodules/csv/MPAS_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..23de9a0ce494b864a70cfd24ac06b8e218801b54
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diff --git a/ramadda/mymodules/csv/MetCTL_AQUA.csv b/ramadda/mymodules/csv/MetCTL_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..3c9cd6655b48b586d87c367962801a3e241b8caa
--- /dev/null
+++ b/ramadda/mymodules/csv/MetCTL_AQUA.csv
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diff --git a/ramadda/mymodules/csv/MetCTL_AQUACO2.csv b/ramadda/mymodules/csv/MetCTL_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..86542371686ca165d4fee157d8ab69c6a6c7f2f0
--- /dev/null
+++ b/ramadda/mymodules/csv/MetCTL_AQUACO2.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetCTL_LAND.csv b/ramadda/mymodules/csv/MetCTL_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..337bee1904ff041d4c755304d62ea5e972faf3ce
--- /dev/null
+++ b/ramadda/mymodules/csv/MetCTL_LAND.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetCTL_LANDCO2.csv b/ramadda/mymodules/csv/MetCTL_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..fccf010901ddad0d4fd67e76399b5e0a56d3ea96
--- /dev/null
+++ b/ramadda/mymodules/csv/MetCTL_LANDCO2.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetCTL_LORBIT.csv b/ramadda/mymodules/csv/MetCTL_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..361b784f4f4d54122826355afd6a53ce79fde586
--- /dev/null
+++ b/ramadda/mymodules/csv/MetCTL_LORBIT.csv
@@ -0,0 +1,53 @@
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diff --git a/ramadda/mymodules/csv/MetENT_AQUA.csv b/ramadda/mymodules/csv/MetENT_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..77bfad8ab834c586bb8a4604f45710f2bc67c2c4
--- /dev/null
+++ b/ramadda/mymodules/csv/MetENT_AQUA.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetENT_AQUACO2.csv b/ramadda/mymodules/csv/MetENT_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..cc3b816d80815b94a306d1f7d633f76461677b06
--- /dev/null
+++ b/ramadda/mymodules/csv/MetENT_AQUACO2.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetENT_LAND.csv b/ramadda/mymodules/csv/MetENT_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..102406f480aab8efbfc24318b36db96254c0848e
--- /dev/null
+++ b/ramadda/mymodules/csv/MetENT_LAND.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetENT_LANDCO2.csv b/ramadda/mymodules/csv/MetENT_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..e956b55948b642437d215d017485f892c9c25ab0
--- /dev/null
+++ b/ramadda/mymodules/csv/MetENT_LANDCO2.csv
@@ -0,0 +1,55 @@
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diff --git a/ramadda/mymodules/csv/MetENT_LORBIT.csv b/ramadda/mymodules/csv/MetENT_LORBIT.csv
new file mode 100755
index 0000000000000000000000000000000000000000..ee47b5929246853f036f94c2b6c784a1c6504a49
--- /dev/null
+++ b/ramadda/mymodules/csv/MetENT_LORBIT.csv
@@ -0,0 +1,53 @@
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diff --git a/ramadda/mymodules/csv/NORESM_AQUA.csv b/ramadda/mymodules/csv/NORESM_AQUA.csv
new file mode 100755
index 0000000000000000000000000000000000000000..ce081298ee10b62b26abeb4a3ce4662c56b894ca
--- /dev/null
+++ b/ramadda/mymodules/csv/NORESM_AQUA.csv
@@ -0,0 +1,46 @@
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diff --git a/ramadda/mymodules/csv/NORESM_AQUACO2.csv b/ramadda/mymodules/csv/NORESM_AQUACO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..327ee54d43de8b65d37ecdad885f11113ecef120
--- /dev/null
+++ b/ramadda/mymodules/csv/NORESM_AQUACO2.csv
@@ -0,0 +1,46 @@
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diff --git a/ramadda/mymodules/csv/NORESM_LAND.csv b/ramadda/mymodules/csv/NORESM_LAND.csv
new file mode 100755
index 0000000000000000000000000000000000000000..e40425bffbd7a882d6e24761e7dbdce99eede8d1
--- /dev/null
+++ b/ramadda/mymodules/csv/NORESM_LAND.csv
@@ -0,0 +1,46 @@
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diff --git a/ramadda/mymodules/csv/NORESM_LANDCO2.csv b/ramadda/mymodules/csv/NORESM_LANDCO2.csv
new file mode 100755
index 0000000000000000000000000000000000000000..4a106606eb0eff48237d130ae47da3f7411a1e3d
--- /dev/null
+++ b/ramadda/mymodules/csv/NORESM_LANDCO2.csv
@@ -0,0 +1,46 @@
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diff --git a/ramadda/mymodules/loaddata.py b/ramadda/mymodules/loaddata.py
new file mode 100644
index 0000000000000000000000000000000000000000..d6619778acab86f67385a9f7c98bab596c69771b
--- /dev/null
+++ b/ramadda/mymodules/loaddata.py
@@ -0,0 +1,769 @@
+import netCDF4 as nc
+import numpy as np
+from scipy.interpolate import griddata
+
+###############################################################################
+# Notes:
+# - wheneven a string is missing it is set to '???' (e.g., because
+# a variable is not available for a given model or experiment, or an
+# experiment is not available for a given model)
+
+
+###############################################################################
+
+# general setup
+# number of models
+nmod = 15
+# number of months to be read in and averaged over
+nmth = 240
+# lat is the lattiudes on which data will be interpolated
+lat = np.linspace(-89.5, 89.5, 180)
+nlat = lat.size
+lon = np.linspace(-179.0, 179.0, 180)
+nlon = lon.size
+# lev are the pressure levels we want to interpolate to; we use the 17 standard
+# CMIP pressure levels in hPa
+lev = 100*np.array([ 10, 20, 30, 50, 70, 100, 150, 200, 250, 300, 400,
+ 500, 600, 700, 850, 925, 1000])
+nlev = lev.size
+
+# grid info for AM2 is missing in umiami files and thus is stored here
+latAM2 = np.array([-89.49438, -87.97753, -85.95506, -83.93259, -81.91011, -79.88764, \
+ -77.86517, -75.8427, -73.82022, -71.79775, -69.77528, -67.75281, \
+ -65.73034, -63.70787, -61.68539, -59.66292, -57.64045, -55.61798, \
+ -53.5955, -51.57303, -49.55056, -47.52809, -45.50562, -43.48315, \
+ -41.46067, -39.4382, -37.41573, -35.39326, -33.37078, -31.34831, \
+ -29.32584, -27.30337, -25.2809, -23.25843, -21.23595, -19.21348, \
+ -17.19101, -15.16854, -13.14607, -11.1236, -9.101124, -7.078652, \
+ -5.05618, -3.033708, -1.011236, 1.011236, 3.033708, 5.05618, 7.078652, \
+ 9.101124, 11.1236, 13.14607, 15.16854, 17.19101, 19.21348, 21.23595, \
+ 23.25843, 25.2809, 27.30337, 29.32584, 31.34831, 33.37078, 35.39326, \
+ 37.41573, 39.4382, 41.46067, 43.48315, 45.50562, 47.52809, 49.55056, \
+ 51.57303, 53.5955, 55.61798, 57.64045, 59.66292, 61.68539, 63.70787, \
+ 65.73034, 67.75281, 69.77528, 71.79775, 73.82022, 75.8427, 77.86517, \
+ 79.88764, 81.91011, 83.93259, 85.95506, 87.97753, 89.49438])
+lonAM2 = np.array([1.25, 3.75, 6.25, 8.75, 11.25, 13.75, 16.25, 18.75, 21.25, 23.75, \
+ 26.25, 28.75, 31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, \
+ 51.25, 53.75, 56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, \
+ 76.25, 78.75, 81.25, 83.75, 86.25, 88.75, 91.25, 93.75, 96.25, 98.75, \
+ 101.25, 103.75, 106.25, 108.75, 111.25, 113.75, 116.25, 118.75, 121.25, \
+ 123.75, 126.25, 128.75, 131.25, 133.75, 136.25, 138.75, 141.25, 143.75, \
+ 146.25, 148.75, 151.25, 153.75, 156.25, 158.75, 161.25, 163.75, 166.25, \
+ 168.75, 171.25, 173.75, 176.25, 178.75, 181.25, 183.75, 186.25, 188.75, \
+ 191.25, 193.75, 196.25, 198.75, 201.25, 203.75, 206.25, 208.75, 211.25, \
+ 213.75, 216.25, 218.75, 221.25, 223.75, 226.25, 228.75, 231.25, 233.75, \
+ 236.25, 238.75, 241.25, 243.75, 246.25, 248.75, 251.25, 253.75, 256.25, \
+ 258.75, 261.25, 263.75, 266.25, 268.75, 271.25, 273.75, 276.25, 278.75, \
+ 281.25, 283.75, 286.25, 288.75, 291.25, 293.75, 296.25, 298.75, 301.25, \
+ 303.75, 306.25, 308.75, 311.25, 313.75, 316.25, 318.75, 321.25, 323.75, \
+ 326.25, 328.75, 331.25, 333.75, 336.25, 338.75, 341.25, 343.75, 346.25, \
+ 348.75, 351.25, 353.75, 356.25, 358.75])
+
+
+def cmip5var_to_modelvar(cmip5var, model):
+ modelvar_array = get_modelvar_array(cmip5var)
+ if model == 'CNRM' :
+ modelvar = modelvar_array['CNRM' ]
+ elif model == 'CNRMv2' :
+ modelvar = modelvar_array['CNRMv2' ]
+ elif model == 'ECHAM61':
+ modelvar = modelvar_array['ECHAM61']
+ elif model == 'ECHAM63':
+ modelvar = modelvar_array['ECHAM61']
+ elif model == 'IPSL' :
+ modelvar = modelvar_array['IPSL' ]
+ elif model == 'MetCTL' :
+ modelvar = modelvar_array['MetCTL' ]
+ elif model == 'MetENT' :
+ modelvar = modelvar_array['MetENT' ]
+ elif model == 'MIROC5' :
+ modelvar = modelvar_array['MIROC5' ]
+ elif model == 'AM2' :
+ modelvar = modelvar_array['AM2' ]
+ elif model == 'CAM3' :
+ modelvar = modelvar_array['CAM3' ]
+ elif model == 'CAM4' :
+ modelvar = modelvar_array['CAM4' ]
+ elif model == 'MPAS' :
+ modelvar = modelvar_array['MPAS' ]
+ elif model == 'GISS' :
+ modelvar = modelvar_array['GISS' ]
+ elif model == 'NORESM' :
+ modelvar = modelvar_array['NORESM' ]
+ elif model == 'CALTECH' :
+ modelvar = modelvar_array['CALTECH' ]
+ else:
+ print('ERROR in cmip5var_to_modelvar: model not known!')
+ return modelvar
+
+
+def get_modelvar_array(cmip5var):
+
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???', \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???', \
+ 'CAM3' :'???', 'CAM4' :'???', 'MPAS' :'???', 'GISS':'???', \
+ 'NORESM':'???', 'CNRMv2' :'???', 'CALTECH':'???'}
+
+ if cmip5var=='pr':
+ modelvar_array = {'CNRM' :'pr' , 'ECHAM61':'pr' , 'ECHAM63':'pr' , 'IPSL':'pr' , \
+ 'MetCTL':'pr' , 'MetENT' :'pr' , 'MIROC5' :'pr' , 'AM2' :'pr' , \
+ 'CAM3' :'???', 'CAM4' :'???', 'MPAS' :'???', 'GISS':'pr' , \
+ 'NORESM':'pr' , 'CNRMv2' :'pr' , 'CALTECH':'pr'}
+ elif cmip5var=='prc':
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???' , \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???' , \
+ 'CAM3' :'PRECC', 'CAM4' :'PRECC', 'MPAS' :'PRECC', 'GISS':'???', \
+ 'NORESM':'???', 'CNRMv2' :'???', 'CALTECH':'prc'}
+ elif cmip5var=='prl':
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???' , \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???' , \
+ 'CAM3' :'PRECL', 'CAM4' :'PRECL', 'MPAS' :'PRECL', 'GISS':'???', \
+ 'NORESM':'???', 'CNRMv2' :'???', 'CALTECH':'???' }
+ elif cmip5var=='rsdscs':
+ modelvar_array = {'CNRM' :'rsdscs', 'ECHAM61':'rsdscs', 'ECHAM63':'rsdscs', 'IPSL':'rsdscs', \
+ 'MetCTL':'rsdscs', 'MetENT' :'rsdscs', 'MIROC5' :'rsdscs', 'AM2' :'rsdscs', \
+ 'CAM3' :'FSDSC' , 'CAM4' :'FSDSC' , 'MPAS' :'FSDSC' , 'GISS':'rsdscs', \
+ 'NORESM':'rsdscs', 'CNRMv2' :'rsdscs', 'CALTECH':'???'}
+ elif cmip5var=='rsdt':
+ modelvar_array = {'CNRM' :'rsdt' , 'ECHAM61':'rsdt' , 'ECHAM63':'rsdt', 'IPSL':'rsdt', \
+ 'MetCTL':'rsdt' , 'MetENT' :'rsdt' , 'MIROC5' :'rsdt', 'AM2' :'rsdt', \
+ 'CAM3' :'SOLIN' , 'CAM4' :'FSDTOA', 'MPAS' :'FSDTOA', 'GISS':'rsdt', \
+ 'NORESM':'rsdt' , 'CNRMv2' :'rsdt' , 'CALTECH':'rsdt'}
+ elif cmip5var=='rsnscs':
+ modelvar_array = {'CNRM' :'rsnscs', 'ECHAM61':'rsnscs', 'ECHAM63':'rsnscs', 'IPSL':'rsnscs', \
+ 'MetCTL':'rsnscs', 'MetENT' :'rsnscs', 'MIROC5' :'rsnscs', 'AM2' :'???' , \
+ 'CAM3' :'FSNSC' , 'CAM4' :'FSNSC' , 'MPAS' :'FSNSC' , 'GISS':'rsnscs', \
+ 'NORESM':'rsnscs', 'CNRMv2' :'rsnscs', 'CALTECH':'???'}
+ elif cmip5var=='rsuscs':
+ modelvar_array = {'CNRM' :'rsuscs', 'ECHAM61':'rsuscs', 'ECHAM63':'rsuscs', 'IPSL':'rsuscs', \
+ 'MetCTL':'rsuscs', 'MetENT' :'rsuscs', 'MIROC5' :'rsuscs', 'AM2' :'rsuscs', \
+ 'CAM3' :'???' , 'CAM4' :'???' , 'MPAS' :'???' , 'GISS':'rsuscs', \
+ 'NORESM':'rsuscs', 'CNRMv2' :'rsuscs', 'CALTECH':'???'}
+ elif cmip5var=='ts':
+ modelvar_array = {'CNRM' :'ts', 'ECHAM61':'ts', 'ECHAM63':'ts', 'IPSL':'ts', \
+ 'MetCTL':'ts', 'MetENT' :'ts', 'MIROC5' :'ts', 'AM2' :'ts', \
+ 'CAM3' :'TS', 'CAM4' :'TS', 'MPAS' :'TS', 'GISS':'ts', \
+ 'NORESM':'ts', 'CNRMv2' :'ts', 'CALTECH':'ts'}
+ elif cmip5var=='ua':
+ modelvar_array = {'CNRM' :'ua', 'ECHAM61':'ua', 'ECHAM63':'ua', 'IPSL':'ua', \
+ 'MetCTL':'ua', 'MetENT' :'ua', 'MIROC5' :'ua', 'AM2' :'ua', \
+ 'CAM3' :'U' , 'CAM4' :'U' , 'MPAS' :'U' , 'GISS':'ua', \
+ 'NORESM':'ua', 'CNRMv2' :'ua', 'CALTECH':'ua'}
+ elif cmip5var=='va':
+ modelvar_array = {'CNRM' :'va', 'ECHAM61':'va', 'ECHAM63':'va', 'IPSL':'va', \
+ 'MetCTL':'va', 'MetENT' :'va', 'MIROC5' :'va', 'AM2' :'va', \
+ 'CAM3' :'V' , 'CAM4' :'V' , 'MPAS' :'V' , 'GISS':'va', \
+ 'NORESM':'va', 'CNRMv2' :'va', 'CALTECH':'va'}
+ elif cmip5var=='clt':
+ modelvar_array = {'CNRM' :'clt' , 'ECHAM61':'clt' , 'ECHAM63':'clt' , 'IPSL':'clt', \
+ 'MetCTL':'clt' , 'MetENT' :'clt' , 'MIROC5' :'clt' , 'AM2' :'clt', \
+ 'CAM3' :'CLDTOT', 'CAM4' :'CLDTOT', 'MPAS' :'CLDTOT', 'GISS':'clt', \
+ 'NORESM':'clt' , 'CNRMv2' :'clt' , 'CALTECH':'???'}
+ else:
+ print('ERROR in get_modelvar_array: cmip5var ' + cmip5var + ' unknown')
+
+ return modelvar_array
+
+
+def get_data_gmtm(exp, var):
+
+ data = np.zeros(nmod) + np.nan
+
+ # cnrm
+ data[0 ] = retrieve_data_from_umiami_gmtm('CNRM' , exp, var)
+ # echam61
+ data[1 ] = retrieve_data_from_umiami_gmtm('ECHAM61', exp, var)
+ # echam63
+ data[2 ] = retrieve_data_from_umiami_gmtm('ECHAM63', exp, var)
+ # ipsl
+ data[3 ] = retrieve_data_from_umiami_gmtm('IPSL' , exp, var)
+ # metctl
+ data[4 ] = retrieve_data_from_umiami_gmtm('MetCTL' , exp, var)
+ # metent
+ data[5 ] = retrieve_data_from_umiami_gmtm('MetENT' , exp, var)
+ # miroc5
+ data[6 ] = retrieve_data_from_umiami_gmtm('MIROC5' , exp, var)
+ # am2
+ data[7 ] = retrieve_data_from_umiami_gmtm('AM2' , exp, var)
+ # cam3
+ data[8 ] = retrieve_data_from_umiami_gmtm('CAM3' , exp, var)
+ # cam4
+ data[9 ] = retrieve_data_from_umiami_gmtm('CAM4' , exp, var)
+ # mpas
+ data[10] = retrieve_data_from_umiami_gmtm('MPAS' , exp, var)
+ # giss
+ data[11] = retrieve_data_from_umiami_gmtm('GISS' , exp, var)
+ # noresm
+ data[12] = retrieve_data_from_umiami_gmtm('NORESM' , exp, var)
+ # cnrmv2
+ data[13] = retrieve_data_from_umiami_gmtm('CNRMv2' , exp, var)
+ # caltech
+ data[14] = retrieve_data_from_umiami_gmtm('CALTECH', exp, var)
+ # output
+ return data
+
+
+def get_data_gmallmonths(exp, var):
+ # global mean for all available months
+ data = np.zeros((nmod, 50*12)) + np.nan # we assume there are at most 50 years per simulation
+ # cnrm
+ data[0 , :] = retrieve_data_from_umiami_gmallmonths('CNRM' , exp, var)
+ # echam61
+ data[1 , :] = retrieve_data_from_umiami_gmallmonths('ECHAM61', exp, var)
+ # echam63
+ data[2 , :] = retrieve_data_from_umiami_gmallmonths('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :] = retrieve_data_from_umiami_gmallmonths('IPSL' , exp, var)
+ # metctl
+ data[4 , :] = retrieve_data_from_umiami_gmallmonths('MetCTL' , exp, var)
+ # metent
+ data[5 , :] = retrieve_data_from_umiami_gmallmonths('MetENT' , exp, var)
+ # miroc5
+ data[6 , :] = retrieve_data_from_umiami_gmallmonths('MIROC5' , exp, var)
+ # am2
+ data[7 , :] = retrieve_data_from_umiami_gmallmonths('AM2' , exp, var)
+ # cam3
+ data[8 , :] = retrieve_data_from_umiami_gmallmonths('CAM3' , exp, var)
+ # cam4
+ data[9 , :] = retrieve_data_from_umiami_gmallmonths('CAM4' , exp, var)
+ # mpas
+ data[10, :] = retrieve_data_from_umiami_gmallmonths('MPAS' , exp, var)
+ # mpas
+ data[11, :] = retrieve_data_from_umiami_gmallmonths('GISS' , exp, var)
+ # noresm
+ data[12, :] = retrieve_data_from_umiami_gmallmonths('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :] = retrieve_data_from_umiami_gmallmonths('CNRMv2' , exp, var)
+ # caltech
+ data[14, :] = retrieve_data_from_umiami_gmallmonths('CALTECH', exp, var)
+ # output
+ return data
+
+
+def get_data_zmtm(exp, var):
+ # zonal time mean data
+ data = np.zeros((nmod, nlat)) + np.nan
+ # cnrm
+ data[0 , :] = retrieve_data_from_umiami_zmtm('CNRM' , exp, var)
+ # echam61
+ data[1 , :] = retrieve_data_from_umiami_zmtm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :] = retrieve_data_from_umiami_zmtm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :] = retrieve_data_from_umiami_zmtm('IPSL' , exp, var)
+ # metctl
+ data[4 , :] = retrieve_data_from_umiami_zmtm('MetCTL' , exp, var)
+ # metent
+ data[5 , :] = retrieve_data_from_umiami_zmtm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :] = retrieve_data_from_umiami_zmtm('MIROC5' , exp, var)
+ # am2
+ data[7 , :] = retrieve_data_from_umiami_zmtm('AM2' , exp, var)
+ # cam3
+ data[8 , :] = retrieve_data_from_umiami_zmtm('CAM3' , exp, var)
+ # cam4
+ data[9 , :] = retrieve_data_from_umiami_zmtm('CAM4' , exp, var)
+ # mpas
+ data[10, :] = retrieve_data_from_umiami_zmtm('MPAS' , exp, var)
+ # giss
+ data[11, :] = retrieve_data_from_umiami_zmtm('GISS' , exp, var)
+ # noresm
+ data[12, :] = retrieve_data_from_umiami_zmtm('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :] = retrieve_data_from_umiami_zmtm('CNRMv2' , exp, var)
+ # caltech
+ data[14, :] = retrieve_data_from_umiami_zmtm('CALTECH', exp, var)
+ # output
+ return data, lat
+
+
+def get_data_zmmm(exp, var):
+ # zonal multi-month mean
+ data = np.zeros((nmod, 12, nlat)) + np.nan
+ # cnrm
+ data[0 , :, :] = retrieve_data_from_umiami_zmmm('CNRM' , exp, var)
+ # echam61
+ data[1 , :, :] = retrieve_data_from_umiami_zmmm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :, :] = retrieve_data_from_umiami_zmmm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :, :] = retrieve_data_from_umiami_zmmm('IPSL' , exp, var)
+ # metctl
+ data[4 , :, :] = retrieve_data_from_umiami_zmmm('MetCTL' , exp, var)
+ # metent
+ data[5 , :, :] = retrieve_data_from_umiami_zmmm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :, :] = retrieve_data_from_umiami_zmmm('MIROC5' , exp, var)
+ # am2
+ data[7 , :, :] = retrieve_data_from_umiami_zmmm('AM2' , exp, var)
+ # cam3
+ data[8 , :, :] = retrieve_data_from_umiami_zmmm('CAM3' , exp, var)
+ # cam4
+ data[9 , :, :] = retrieve_data_from_umiami_zmmm('CAM4' , exp, var)
+ # mpas
+ data[10, :, :] = retrieve_data_from_umiami_zmmm('MPAS' , exp, var)
+ # giss
+ data[11, :, :] = retrieve_data_from_umiami_zmmm('GISS' , exp, var)
+ # noresm
+ data[12, :, :] = retrieve_data_from_umiami_zmmm('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :, :] = retrieve_data_from_umiami_zmmm('CNRMv2' , exp, var)
+ # caltech
+ data[14, :, :] = retrieve_data_from_umiami_zmmm('CALTECH', exp, var)
+ # output
+ return data, lat
+
+
+def get_data_zmtm_plevels(exp, var):
+ # zonal time mean data on 17 CMIP5 pressure levels
+ data = np.zeros((nmod, nlev, nlat)) + np.nan
+ # cnrm
+ data[0 , :] = retrieve_data_from_umiami_zmtm_plevels('CNRM' , exp, var)
+ # echam61
+ data[1 , :] = retrieve_data_from_umiami_zmtm_plevels('ECHAM61', exp, var)
+ # echam63
+ data[2 , :] = retrieve_data_from_umiami_zmtm_plevels('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :] = retrieve_data_from_umiami_zmtm_plevels('IPSL' , exp, var)
+ # metctl
+ data[4 , :] = retrieve_data_from_umiami_zmtm_plevels('MetCTL' , exp, var)
+ # metent
+ data[5 , :] = retrieve_data_from_umiami_zmtm_plevels('MetENT' , exp, var)
+ # miroc5
+ data[6 , :] = retrieve_data_from_umiami_zmtm_plevels('MIROC5' , exp, var)
+ # am2
+ data[7 , :] = retrieve_data_from_umiami_zmtm_plevels('AM2' , exp, var)
+ # cam3
+ data[8 , :] = retrieve_data_from_umiami_zmtm_plevels('CAM3' , exp, var)
+ # cam4
+ data[9 , :] = retrieve_data_from_umiami_zmtm_plevels('CAM4' , exp, var)
+ # mpas
+ print('get_data_zmtm_plevels, MPAS', exp, var)
+ print('ATTENTION: MPAS DATA NOT ON PRESSURE LEVELS YET SO NOT RETRIEVED FROM SERVER')
+ #data[10, :] = retrieve_data_from_umiami_zmtm_plevels('MPAS' , exp, var)
+ # giss
+ data[11, :] = retrieve_data_from_umiami_zmtm_plevels('GISS' , exp, var)
+ # noresm
+ data[12, :] = retrieve_data_from_umiami_zmtm_plevels('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :] = retrieve_data_from_umiami_zmtm_plevels('CNRMv2' , exp, var)
+ # caltech
+ data[14, :] = retrieve_data_from_umiami_zmtm_plevels('CALTECH', exp, var)
+ # output
+ return data, lev, lat
+
+
+def get_data_latlontm(exp, var):
+ # lat-lon time mean data
+ data = np.zeros((nmod, nlat, nlon)) + np.nan
+ # cnrm
+ data[0 , :, :] = retrieve_data_from_umiami_latlontm('CNRM' , exp, var)
+ # echam61
+ data[1 , :, :] = retrieve_data_from_umiami_latlontm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :, :] = retrieve_data_from_umiami_latlontm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :, :] = retrieve_data_from_umiami_latlontm('IPSL' , exp, var)
+ # metctl
+ data[4 , :, :] = retrieve_data_from_umiami_latlontm('MetCTL' , exp, var)
+ # metent
+ data[5 , :, :] = retrieve_data_from_umiami_latlontm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :, :] = retrieve_data_from_umiami_latlontm('MIROC5' , exp, var)
+ # am2
+ data[7 , :, :] = retrieve_data_from_umiami_latlontm('AM2' , exp, var)
+ # cam3
+ data[8 , :, :] = retrieve_data_from_umiami_latlontm('CAM3' , exp, var)
+ # cam4
+ data[9 , :, :] = retrieve_data_from_umiami_latlontm('CAM4' , exp, var)
+ # mpas
+ data[10, :, :] = retrieve_data_from_umiami_latlontm('MPAS' , exp, var)
+ # giss
+ data[11, :, :] = retrieve_data_from_umiami_latlontm('GISS' , exp, var)
+ # noresm
+ data[12, :, :] = retrieve_data_from_umiami_latlontm('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :, :] = retrieve_data_from_umiami_latlontm('CNRMv2' , exp, var)
+ # caltech
+ data[14, :, :] = retrieve_data_from_umiami_latlontm('CALTECH', exp, var)
+ # output
+ return data, lat, lon
+
+
+def get_data_latlonmm(exp, var):
+ # lat-lon time mean data
+ data = np.zeros((nmod, 12, nlat, nlon)) + np.nan
+ # cnrm
+ data[0 , :, :, :] = retrieve_data_from_umiami_latlonmm('CNRM' , exp, var)
+ # echam61
+ data[1 , :, :, :] = retrieve_data_from_umiami_latlonmm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :, :, :] = retrieve_data_from_umiami_latlonmm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :, :, :] = retrieve_data_from_umiami_latlonmm('IPSL' , exp, var)
+ # metctl
+ data[4 , :, :, :] = retrieve_data_from_umiami_latlonmm('MetCTL' , exp, var)
+ # metent
+ data[5 , :, :, :] = retrieve_data_from_umiami_latlonmm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :, :, :] = retrieve_data_from_umiami_latlonmm('MIROC5' , exp, var)
+ # am2
+ data[7 , :, :, :] = retrieve_data_from_umiami_latlonmm('AM2' , exp, var)
+ # cam3
+ data[8 , :, :, :] = retrieve_data_from_umiami_latlonmm('CAM3' , exp, var)
+ # cam4
+ data[9 , :, :, :] = retrieve_data_from_umiami_latlonmm('CAM4' , exp, var)
+ # mpas
+ data[10, :, :, :] = retrieve_data_from_umiami_latlonmm('MPAS' , exp, var)
+ # giss
+ data[11, :, :, :] = retrieve_data_from_umiami_latlonmm('GISS' , exp, var)
+ # noresm
+ data[12, :, :, :] = retrieve_data_from_umiami_latlonmm('NORESM' , exp, var)
+ # cnrmv2
+ data[13, :, :, :] = retrieve_data_from_umiami_latlonmm('CNRMv2' , exp, var)
+ # caltech
+ data[14, :, :, :] = retrieve_data_from_umiami_latlonmm('CALTECH', exp, var)
+ # output
+ return data, lat, lon
+
+
+def retrieve_data_from_umiami_gmtm(model, exp, var):
+ # global time mean data
+ print('retrieve_data_from_umiami_gmtm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and last nmth months
+ dat_zmtm = np.nanmean(np.nanmean(dat[-nmth:, :, :], 2), 0)
+ # now also average over latitude --> output out
+ area = np.cos(datlat*np.pi/180.0)
+ print('retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful')
+ out = np.nansum(dat_zmtm*area)/np.nansum(area)
+ else: # either file or variable are missing
+ out = np.nan
+ return out
+
+
+def retrieve_data_from_umiami_gmallmonths(model, exp, var):
+ # global mean data for all available months
+ print('retrieve_data_from_umiami_gm_allmonths, get data for:', model, exp, var)
+ out = np.zeros(50*12) + np.nan# we are assuming that there are at most 50 years per simulation
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude
+ dat_zm = np.nanmean(dat, 2)
+ # now also average over latitude --> output out
+ area = np.cos(datlat*np.pi/180.0)
+ for i in range(0, dat_zm[:, 0].size): # loop over monthly timesteps
+ out[i] = np.nansum(dat_zm[i,:]*area)/np.nansum(area)
+ print('retrieve_data_from_umiami_gmallmonths, get data for', model, exp, var, 'successful')
+ else: # either file or variable are missing
+ out = np.nan
+ return out
+
+
+
+
+
+def retrieve_data_from_umiami_zmtm(model, exp, var):
+ # zonal time mean data
+ print('retrieve_data_from_umiami_zmtm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and last nmth months
+ dat_zmtm = np.nanmean(np.nanmean(dat[-nmth:, :, :], 2), 0)
+ # interpolate to lat defined at top of file
+ out = np.zeros(nlat) + np.nan
+ # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+ if datlat[0] > datlat[1]:
+ dat_zmtm = dat_zmtm[::-1]
+ datlat = datlat[::-1]
+ print('retrieve_data_from_umiami_zmtm, get data for', model, exp, var, 'successful')
+ out = np.interp(lat, datlat, dat_zmtm)
+ else: # file does not exist
+ print('retrieve_data_from_umiami_zmtm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros(nlat) + np.nan
+ return out
+
+
+def retrieve_data_from_umiami_zmmm(model, exp, var):
+ # zonal monthly mean data
+ print('retrieve_data_from_umiami_zmmm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat'])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and only take last nmth months
+ dat_zm = np.nanmean(dat[-nmth:, :, :], 2)
+ # average over all Januaries, Februaries, Marchs and so on
+ dat_zmmm = np.zeros((12, datlat.size)) + np.nan
+ for imonth in range(0, 12):
+ dat_zmmm[imonth, :] = np.nanmean(dat_zm[imonth:nmth:12, :], axis=0)
+ # interpolate to lat defined at top of file
+ out = np.zeros((12, nlat)) + np.nan
+ # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+ if datlat[0] > datlat[1]:
+ dat_zmmm = dat_zmmm[:, ::-1]
+ datlat = datlat[::-1]
+ for imonth in range(0, 12):
+ out[imonth, :] = np.interp(lat, datlat, dat_zmmm[imonth, :])
+ print('retrieve_data_from_umiami_zmmm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ out = np.zeros((12, nlat)) + np.nan
+ print('retrieve_data_from_umiami_zmmm, get data for', model, exp, var, 'failed and data set to nan')
+ return out
+
+
+def retrieve_data_from_umiami_zmtm_plevels(model, exp, var):
+ # zonal time mean data on 17 CMIP5 pressure levels
+ print('retrieve_data_from_umiami_zmtm_plevels, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # need to catch models for which levels are not nomed plev
+ if model == 'AM2':
+ datlev = 100*np.squeeze(np.array(file.variables['lev']))
+ elif model == 'CAM3':
+ datlev = 100*np.squeeze(np.array(file.variables['lev']))
+ elif model == 'CAM4':
+ datlev = 100*np.squeeze(np.array(file.variables['lev']))
+ elif model == 'CALTECH':
+ datlev = 100*np.squeeze(np.array(file.variables['lev_p']))
+ else:
+ datlev = np.squeeze(np.array(file.variables['plev' ])) # levels of data set
+ # Met and MIROC5 models pressure levels in on hPa and so need to be multiplied by 100
+ if (model == 'MetCTL') or (model == 'MetENT') or (model == 'MIROC5'):
+ datlev = 100*datlev
+ # average over longitude and last nmth months
+ dat_zmtm_plevels = np.nanmean(np.nanmean(dat[-nmth:, :, :, :], 3), 0)
+ print(dat_zmtm_plevels.shape)
+ # interpolate to lat defined at top of file
+ out = np.zeros((nlev, nlat)) + np.nan
+ # if lev is from high to low values we need to flip lev for interp
+ if datlev[0] > datlev[1]:
+ dat_zmtm_plevels = dat_zmtm_plevels[::-1, :]
+ datlev = datlev[::-1]
+ # if lat is from NP to SP we need to flip lat for interp
+ if datlat[0] > datlat[1]:
+ dat_zmtm_plevels = dat_zmtm_plevels[:, ::-1]
+ datlat = datlat[::-1]
+ # interpolate to pressure levels lev
+ tmp = np.zeros((nlev, datlat.size))
+ for i in range(0, datlat.size):
+ tmp[:, i] = np.interp(lev, datlev, dat_zmtm_plevels[:, i])
+ # interpolate to latitudes lat
+ for i in range(0, nlev):
+ out[i, :] = np.interp(lat, datlat, tmp[i, :])
+ print('retrieve_data_from_umiami_zmtm_plevels, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ out = np.zeros(nlat) + np.nan
+ print('retrieve_data_from_umiami_zmtm_plevels, get data for', model, exp, var, 'failed and data set to nan')
+ return out
+
+
+def retrieve_data_from_umiami_latlontm(model, exp, var):
+ # lat-lon time mean data
+ print('retrieve_data_from_umiami_latlontm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ datlon = np.squeeze(np.array(file.variables['lon' ])) # longitude of data set
+ if model == 'AM2':
+ datlat = latAM2
+ datlon = lonAM2
+ # for all models except IPSL lon is from 0-360 deg, but we want to data on -180-180
+ # so that continent is in the middle of lat-lon plots
+ if model != 'IPSL':
+ auxdat = np.zeros(dat.shape) + np.nan
+ auxlon = np.zeros(datlon.size) + np.nan
+ auxdat[:, :, datlon.size/2:datlon.size] = dat[:, :, 0:datlon.size/2]
+ auxdat[:, :, 0:datlon.size/2] = dat[:, :, datlon.size/2:datlon.size]
+ auxlon[datlon.size/2:datlon.size] = datlon[ 0:datlon.size/2]
+ auxlon[0:datlon.size/2] = datlon[datlon.size/2:datlon.size] - 360.0
+ dat = auxdat
+ datlon = auxlon
+ # average over last nmth months
+ dat_tm = np.nanmean(dat[-nmth:, :, :], 0)
+ # interpolate to lat-lon grid defined at top of file
+ out = np.zeros((nlat, nlon)) + np.nan
+ # grid of model data
+ datx, daty = np.meshgrid(datlon, datlat)
+ # grid on which we interpolate
+ x, y = np.meshgrid(lon, lat)
+ # interpolated data
+ out = griddata((datx.ravel(), daty.ravel()), dat_tm.ravel(), (x, y))
+ print('retrieve_data_from_umiami_latlontm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ print('retrieve_data_from_umiami_latlontm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros((nlat, nlon)) + np.nan
+ return out
+
+
+def retrieve_data_from_umiami_latlonmm(model, exp, var):
+ # lat-lon monthly mean data
+ print('retrieve_data_from_umiami_latlonmm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ datlon = np.squeeze(np.array(file.variables['lon' ])) # longitude of data set
+ if model == 'AM2':
+ datlat = latAM2
+ datlon = lonAM2
+ # for all models except IPSL lon is from 0-360 deg, but we want to data on -180-180
+ # so that continent is in the middle of lat-lon plots
+ if model != 'IPSL':
+ auxdat = np.zeros(dat.shape) + np.nan
+ auxlon = np.zeros(datlon.size) + np.nan
+ auxdat[:, :, datlon.size/2:datlon.size] = dat[:, :, 0:datlon.size/2]
+ auxdat[:, :, 0:datlon.size/2] = dat[:, :, datlon.size/2:datlon.size]
+ auxlon[datlon.size/2:datlon.size] = datlon[ 0:datlon.size/2]
+ auxlon[0:datlon.size/2] = datlon[datlon.size/2:datlon.size] - 360.0
+ dat = auxdat
+ datlon = auxlon
+ # average over all Januaries, Februaries, Marchs and so on
+ dat_mm = np.zeros((12, datlat.size, datlon.size)) + np.nan
+ for imonth in range(0, 12):
+ dat_mm[imonth, :, :] = np.nanmean(dat[imonth:nmth:12, :, :], axis=0)
+ # interpolate to lat-lon grid defined at top of file
+ out = np.zeros((12, nlat, nlon)) + np.nan
+ # grid of model data
+ datx, daty = np.meshgrid(datlon, datlat)
+ # grid on which we interpolate
+ x, y = np.meshgrid(lon, lat)
+ # interpolated data
+ for imonth in range(0, 12):
+ out[imonth, :, :] = griddata((datx.ravel(), daty.ravel()), dat_mm[imonth, :, :].ravel(), (x, y))
+ print('retrieve_data_from_umiami_latlonmm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ print('retrieve_data_from_umiami_latlonmm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros((12, nlat, nlon)) + np.nan
+ return out
+
+
+def get_url_string(model, exp, var):
+ #########################################################################
+ # I/O function to go into a csv file pulled from the TRACMIP website
+ # that finds the URL needed to access a particular variable's file on the
+ # TRACMIP server.
+ ##########################################################################
+ import os.path
+ csvfile = '/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/csv/' + model +'_' + exp + '.csv'
+ if os.path.isfile(csvfile): # csv file exists
+ hcsvfile = open(csvfile )
+ url_string = 'https://weather.rsmas.miami.edu/repository/opendap/'
+ # if we have cmorized data for which each field is in a single file, then
+ # we need to find the line in the csv file for the variable we want to read
+ if (model == 'CNRM') or (model == 'ECHAM61') or (model == 'ECHAM63') or \
+ (model == 'IPSL') or (model == 'MetCTL' ) or (model == 'MetENT' ) or \
+ (model == 'MIROC5') or (model == 'GISS') or (model == 'NORESM') or \
+ (model == 'CNRMv2'):
+ again = True
+ cline = 0 # number of lines that have been read
+ while again == True:
+ line = hcsvfile.readline()
+ cline = cline + 1
+ #print(line)
+ aux = (line.split("_"))
+ #print(aux)
+ var_check = aux[0]
+ if var_check == var:
+ again = False
+ if cline > 1000:
+ again = False
+ print('get_url_string, unable to find line in csv files for model', model, ', exp', exp, ', var', var)
+ url_string = '???'
+ # for models with all data in one big file we just need to read the second
+ # entry of the second line
+ elif (model == 'AM2') or (model == 'CAM3') or (model == 'CAM4') or (model == 'MPAS') or (model == 'CALTECH'):
+ line = hcsvfile.readline()
+ line = hcsvfile.readline()
+ # in case requested model is not available
+ else:
+ print('ERROR in get_url_string: model', model, 'unknown')
+
+ # once we have the line corresponding to var we need the second entry to
+ # build the complete url_string
+ if url_string != '???': # only if we found csv file and line in the csv file
+ aux = (line.split(","))
+ url_string = url_string + aux[1] + '/entry.das'
+ #print('get_url_string', model, ':', url_string)
+ # close csv file
+ hcsvfile.close()
+ else:
+ print('ERROR in get_url_string: no csv file for model', model, ', exp', exp, 'and var', var)
+ url_string = '???'
+ return(url_string)
diff --git a/ramadda/mymodules/loaddata.tarz b/ramadda/mymodules/loaddata.tarz
new file mode 100644
index 0000000000000000000000000000000000000000..e3ce55f9ebfb9cbc6b7d3de24b7f63a1dc5e2019
Binary files /dev/null and b/ramadda/mymodules/loaddata.tarz differ
diff --git a/ramadda/mymodules/loaddata_benlavon_28nov2016.py b/ramadda/mymodules/loaddata_benlavon_28nov2016.py
new file mode 100644
index 0000000000000000000000000000000000000000..709eab8e97812832f4a0f020a56fca34f7241967
--- /dev/null
+++ b/ramadda/mymodules/loaddata_benlavon_28nov2016.py
@@ -0,0 +1,843 @@
+import netCDF4 as nc
+import numpy as np
+from scipy.interpolate import griddata
+
+###############################################################################
+# Notes:
+# - wheneven a string is missing it is set to '???' (e.g., because
+# a variable is not available for a given model or experiment, or an
+# experiment is not available for a given model)
+
+
+###############################################################################
+
+# general setup
+# number of models
+nmod = 15
+# number of months to be read in and averaged over
+nmth = 240
+# lat is the lattiudes on which data will be interpolated
+lat = np.linspace(-89.5, 89.5, 180)
+nlat = lat.size
+lon = np.linspace(-179.0, 179.0, 180)
+nlon = lon.size
+# lev are the pressure levels we want to interpolate to; we use the 17 standard
+# CMIP pressure levels in hPa
+lev = 100*np.array([ 10, 20, 30, 50, 70, 100, 150, 200, 250, 300, 400,
+ 500, 600, 700, 850, 925, 1000])
+nlev = lev.size
+
+# grid info for AM2 is missing in umiami files and thus is stored here
+latAM2 = np.array([-89.49438, -87.97753, -85.95506, -83.93259, -81.91011, -79.88764, \
+ -77.86517, -75.8427, -73.82022, -71.79775, -69.77528, -67.75281, \
+ -65.73034, -63.70787, -61.68539, -59.66292, -57.64045, -55.61798, \
+ -53.5955, -51.57303, -49.55056, -47.52809, -45.50562, -43.48315, \
+ -41.46067, -39.4382, -37.41573, -35.39326, -33.37078, -31.34831, \
+ -29.32584, -27.30337, -25.2809, -23.25843, -21.23595, -19.21348, \
+ -17.19101, -15.16854, -13.14607, -11.1236, -9.101124, -7.078652, \
+ -5.05618, -3.033708, -1.011236, 1.011236, 3.033708, 5.05618, 7.078652, \
+ 9.101124, 11.1236, 13.14607, 15.16854, 17.19101, 19.21348, 21.23595, \
+ 23.25843, 25.2809, 27.30337, 29.32584, 31.34831, 33.37078, 35.39326, \
+ 37.41573, 39.4382, 41.46067, 43.48315, 45.50562, 47.52809, 49.55056, \
+ 51.57303, 53.5955, 55.61798, 57.64045, 59.66292, 61.68539, 63.70787, \
+ 65.73034, 67.75281, 69.77528, 71.79775, 73.82022, 75.8427, 77.86517, \
+ 79.88764, 81.91011, 83.93259, 85.95506, 87.97753, 89.49438])
+lonAM2 = np.array([1.25, 3.75, 6.25, 8.75, 11.25, 13.75, 16.25, 18.75, 21.25, 23.75, \
+ 26.25, 28.75, 31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, \
+ 51.25, 53.75, 56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, \
+ 76.25, 78.75, 81.25, 83.75, 86.25, 88.75, 91.25, 93.75, 96.25, 98.75, \
+ 101.25, 103.75, 106.25, 108.75, 111.25, 113.75, 116.25, 118.75, 121.25, \
+ 123.75, 126.25, 128.75, 131.25, 133.75, 136.25, 138.75, 141.25, 143.75, \
+ 146.25, 148.75, 151.25, 153.75, 156.25, 158.75, 161.25, 163.75, 166.25, \
+ 168.75, 171.25, 173.75, 176.25, 178.75, 181.25, 183.75, 186.25, 188.75, \
+ 191.25, 193.75, 196.25, 198.75, 201.25, 203.75, 206.25, 208.75, 211.25, \
+ 213.75, 216.25, 218.75, 221.25, 223.75, 226.25, 228.75, 231.25, 233.75, \
+ 236.25, 238.75, 241.25, 243.75, 246.25, 248.75, 251.25, 253.75, 256.25, \
+ 258.75, 261.25, 263.75, 266.25, 268.75, 271.25, 273.75, 276.25, 278.75, \
+ 281.25, 283.75, 286.25, 288.75, 291.25, 293.75, 296.25, 298.75, 301.25, \
+ 303.75, 306.25, 308.75, 311.25, 313.75, 316.25, 318.75, 321.25, 323.75, \
+ 326.25, 328.75, 331.25, 333.75, 336.25, 338.75, 341.25, 343.75, 346.25, \
+ 348.75, 351.25, 353.75, 356.25, 358.75])
+
+
+def cmip5var_to_modelvar(cmip5var, model):
+ modelvar_array = get_modelvar_array(cmip5var)
+ if model == 'CNRM' :
+ modelvar = modelvar_array['CNRM']
+ elif model == 'ECHAM61':
+ modelvar = modelvar_array['ECHAM61']
+ elif model == 'ECHAM63':
+ modelvar = modelvar_array['ECHAM61']
+ elif model == 'IPSL' :
+ modelvar = modelvar_array['IPSL' ]
+ elif model == 'MetCTL' :
+ modelvar = modelvar_array['MetCTL' ]
+ elif model == 'MetENT' :
+ modelvar = modelvar_array['MetENT' ]
+ elif model == 'MIROC5' :
+ modelvar = modelvar_array['MIROC5' ]
+ elif model == 'AM2' :
+ modelvar = modelvar_array['AM2' ]
+ elif model == 'CAM3' :
+ modelvar = modelvar_array['CAM3' ]
+ elif model == 'CAM4' :
+ modelvar = modelvar_array['CAM4' ]
+ elif model == 'MPAS' :
+ modelvar = modelvar_array['MPAS' ]
+ elif model == 'GISS' :
+ modelvar = modelvar_array['GISS' ]
+ elif model == 'NORESM2':
+ modelvar = modelvar_array['NORESM2']
+ elif model == 'CNRM-AM5':
+ modelvar = modelvar_array['CNRM-AM5']
+ elif model == 'CALTECH':
+ modelvar = modelvar_array['CALTECH']
+ else:
+ print('ERROR in cmip5var_to_modelvar: model not known!')
+ return modelvar
+
+
+
+def get_modelvar_array(cmip5var):
+#for CAM3, rsdt is set to net solar flux at top of model FSNTOA
+#for calculating energy balance, it uses FSNTOA - FLUT
+#to calculate rsdt for CAM3, use 'SOLIN'
+
+#In order to calculate net surface flux, rlds and rsds are set to FLNS and FSNS, respectively
+#for CAM3, CAM4, and MPAS. The upwelling values will be set to ??? so when calculating
+#abs(rlds)-abs(rlus) it will already have the net value. To calculate rlds or rsds for these models
+#change their entries in the appropriate directory below to FLDS and FSDS respectively.
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???', \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???', \
+ 'CAM3' :'???', 'CAM4' :'???', 'MPAS' :'???'}
+
+ if cmip5var=='pr':
+ modelvar_array = {'CNRM' :'pr' , 'ECHAM61':'pr' , 'ECHAM63':'pr' , 'IPSL':'pr' , \
+ 'MetCTL':'pr' , 'MetENT' :'pr' , 'MIROC5' :'pr' , 'AM2' :'pr' , \
+ 'CAM3' :'???', 'CAM4' :'???', 'MPAS' :'???', 'GISS':'pr'}
+ elif cmip5var=='prc':
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???', \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???', \
+ 'CAM3' :'PRECC', 'CAM4' :'PRECC', 'MPAS' :'PRECC', 'GISS':'???'}
+ elif cmip5var=='prl':
+ modelvar_array = {'CNRM' :'???', 'ECHAM61':'???', 'ECHAM63':'???', 'IPSL':'???', \
+ 'MetCTL':'???', 'MetENT' :'???', 'MIROC5' :'???', 'AM2' :'???', \
+ 'CAM3' :'PRECL', 'CAM4' :'PRECL', 'MPAS' :'PRECL', 'GISS':'???'}
+ elif cmip5var=='rsdscs':
+ modelvar_array = {'CNRM' :'rsdscs', 'ECHAM61':'rsdscs', 'ECHAM63':'rsdscs', 'IPSL':'rsdscs', \
+ 'MetCTL':'rsdscs', 'MetENT' :'rsdscs', 'MIROC5' :'rsdscs', 'AM2' :'rsdscs',
+ 'CAM3' :'FSDSC' , 'CAM4' :'FSDSC' , 'MPAS' :'FSDSC' , 'GISS':'rsdscs'}
+ elif cmip5var=='rsdt':
+ modelvar_array = {'CNRM' :'rsdt' , 'ECHAM61':'rsdt' , 'ECHAM63':'rsdt', 'IPSL':'rsdt', \
+ 'MetCTL':'rsdt' , 'MetENT' :'rsdt' , 'MIROC5' :'rsdt', 'AM2' :'rsdt',
+ 'CAM3' :'SOLIN' , 'CAM4' :'SOLIN', 'MPAS' :'SOLIN', 'GISS':'rsdt',
+ 'NORESM2': 'rsdt' , 'CNRM-AM5': 'rsdt', 'CALTECH': 'rsdt'}
+ elif cmip5var=='rsutcs':
+ modelvar_array = {'CNRM' :'rsutcs' , 'ECHAM61':'rsutcs' , 'ECHAM63':'rsutcs', 'IPSL':'rsutcs', \
+ 'MetCTL':'rsutcs' , 'MetENT' :'rsutcs' , 'MIROC5' :'rsutcs', 'AM2' :'rsutcs',
+ 'CAM3' :'FSNTC' , 'CAM4' :'FSNTC', 'MPAS' :'FSNTC', 'GISS':'rsutcs',
+ 'NORESM2': '???' , 'CNRM-AM5': 'rsutcs', 'CALTECH': '???'}
+
+ elif cmip5var=='rlutcs':
+ modelvar_array = {'CNRM' :'rlutcs' , 'ECHAM61':'rlutcs' , 'ECHAM63':'rlutcs', 'IPSL':'rlutcs', \
+ 'MetCTL':'rlutcs' , 'MetENT' :'rlutcs' , 'MIROC5' :'rlutcs', 'AM2' :'rlutcs',
+ 'CAM3' :'FLNTC' , 'CAM4' :'FLNTC', 'MPAS' :'FLNTC', 'GISS':'rlutcs',
+ 'NORESM2': '???' , 'CNRM-AM5': 'rlutcs', 'CALTECH': '???'}
+
+ elif cmip5var=='rsnscs':
+ modelvar_array = {'CNRM' :'rsnscs', 'ECHAM61':'rsnscs', 'ECHAM63':'rsnscs', 'IPSL':'rsnscs', \
+ 'MetCTL':'rsnscs', 'MetENT' :'rsnscs', 'MIROC5' :'rsnscs', 'AM2' :'???' ,
+ 'CAM3' :'FSNSC' , 'CAM4' :'FSNSC' , 'MPAS' :'FSNSC' , 'GISS':'rsnscs'}
+ elif cmip5var=='rsuscs':
+ modelvar_array = {'CNRM' :'rsuscs', 'ECHAM61':'rsuscs', 'ECHAM63':'rsuscs', 'IPSL':'rsuscs', \
+ 'MetCTL':'rsuscs', 'MetENT' :'rsuscs', 'MIROC5' :'rsuscs', 'AM2' :'rsuscs' ,
+ 'CAM3' :'???' , 'CAM4' :'???' , 'MPAS' :'???' , 'GISS':'rsuscs'}
+ elif cmip5var=='ts':
+ modelvar_array = {'CNRM' :'ts', 'ECHAM61':'ts', 'ECHAM63':'ts', 'IPSL':'ts', \
+ 'MetCTL':'ts', 'MetENT' :'ts', 'MIROC5' :'ts', 'AM2' :'ts',
+ 'CAM3' :'TS', 'CAM4' :'TS', 'MPAS' :'TS', 'GISS':'ts',
+ 'NORESM2': 'ts' , 'CNRM-AM5': 'ts', 'CALTECH': 'ts'}
+ elif cmip5var=='ua':
+ modelvar_array = {'CNRM' :'ua', 'ECHAM61':'ua', 'ECHAM63':'ua', 'IPSL':'ua', \
+ 'MetCTL':'ua', 'MetENT' :'ua', 'MIROC5' :'ua', 'AM2' :'ua',
+ 'CAM3' :'U' , 'CAM4' :'U' , 'MPAS' :'U' , 'GISS':'ua'}
+ elif cmip5var=='va':
+ modelvar_array = {'CNRM' :'va', 'ECHAM61':'va', 'ECHAM63':'va', 'IPSL':'va', \
+ 'MetCTL':'va', 'MetENT' :'va', 'MIROC5' :'va', 'AM2' :'va',
+ 'CAM3' :'V' , 'CAM4' :'V' , 'MPAS' :'V' , 'GISS':'va'}
+
+ elif cmip5var=='rsut':
+ modelvar_array = {'CNRM' :'rsut' , 'ECHAM61':'rsut' , 'ECHAM63':'rsut', 'IPSL':'rsut', \
+ 'MetCTL':'rsut' , 'MetENT' :'rsut' , 'MIROC5' :'rsut', 'AM2' :'rsut',
+ 'CAM3' :'FSNT' , 'CAM4' :'FSNT', 'MPAS' :'FSNT', 'GISS':'rsut',
+ 'NORESM2': 'rsut' , 'CNRM-AM5': 'rsut', 'CALTECH': 'rsut'}
+ elif cmip5var=='rlut':
+ modelvar_array = {'CNRM' :'rlut' , 'ECHAM61':'rlut' , 'ECHAM63':'rlut', 'IPSL':'rlut', \
+ 'MetCTL':'rlut' , 'MetENT' :'rlut' , 'MIROC5' :'rlut', 'AM2' :'rlut',
+ 'CAM3' :'FLNT' , 'CAM4' :'FLNT' , 'MPAS' :'FLNT', 'GISS':'rlut',
+ 'NORESM2': 'rlut' , 'CNRM-AM5': 'rlut', 'CALTECH': 'rlut'}
+ elif cmip5var=='rlds':
+ modelvar_array = {'CNRM' :'rlds' , 'ECHAM61':'rlds' , 'ECHAM63':'rlds', 'IPSL':'rlds', \
+ 'MetCTL':'rlds' , 'MetENT' :'rlds' , 'MIROC5' :'rlds', 'AM2' :'rlds',
+ 'CAM3' :'FLNS' , 'CAM4' :'FLNS' , 'MPAS' :'FLNS', 'GISS':'rlds'}
+ elif cmip5var=='rlus':
+ modelvar_array = {'CNRM' :'rlus' , 'ECHAM61':'rlus' , 'ECHAM63':'rlus', 'IPSL':'rlus', \
+ 'MetCTL':'rlus' , 'MetENT' :'rlus' , 'MIROC5' :'rlus', 'AM2' :'rlus',
+ 'CAM3' :'???' , 'CAM4' :'???' , 'MPAS' :'???', 'GISS':'rlus'}
+ elif cmip5var=='rsds':
+ modelvar_array = {'CNRM' :'rsds' , 'ECHAM61':'rsds' , 'ECHAM63':'rsds', 'IPSL':'rsds', \
+ 'MetCTL':'rsds' , 'MetENT' :'rsds' , 'MIROC5' :'rsds', 'AM2' :'rsds',
+ 'CAM3' :'FSNS' , 'CAM4' :'FSNS' , 'MPAS' :'FSNS', 'GISS':'rsds'}
+ elif cmip5var=='rsus':
+ modelvar_array = {'CNRM' :'rsus' , 'ECHAM61':'rsus' , 'ECHAM63':'rsus', 'IPSL':'rsus', \
+ 'MetCTL':'rsus' , 'MetENT' :'rsus' , 'MIROC5' :'rsus', 'AM2' :'rsus',
+ 'CAM3' :'???' , 'CAM4' :'???' , 'MPAS' :'???', 'GISS':'rsus'}
+ elif cmip5var=='hfls':
+ modelvar_array = {'CNRM' :'hfls' , 'ECHAM61':'hfls' , 'ECHAM63':'hfls', 'IPSL':'hfls', \
+ 'MetCTL':'hfls' , 'MetENT' :'hfls' , 'MIROC5' :'hfls', 'AM2' :'???',
+ 'CAM3' :'LHFLX' , 'CAM4' :'LHFLX' , 'MPAS' :'LHFLX', 'GISS':'hfls'}
+ elif cmip5var=='hfss':
+ modelvar_array = {'CNRM' :'hfss' , 'ECHAM61':'hfss' , 'ECHAM63':'hfss', 'IPSL':'hfss', \
+ 'MetCTL':'???' , 'MetENT' :'???' , 'MIROC5' :'hfss', 'AM2' :'hfss',
+ 'CAM3' :'SHFLX' , 'CAM4' :'SHFLX' , 'MPAS' :'SHFLX', 'GISS':'hfss'}
+ elif cmip5var=='FLNT': #these two arrays are for calculating EB for CAM models alone
+ modelvar_array = {#'CNRM' :'rsdt' , 'ECHAM61':'rsdt' , 'ECHAM63':'rsdt', 'IPSL':'rsdt', \
+ #'MetCTL':'rsdt' , 'MetENT' :'rsdt' , 'MIROC5' :'rsdt', 'AM2' :'rsdt',
+ 'CAM3' :'FLNT' , 'CAM4' :'FLNT', 'MPAS' :'FLNT'}#, 'GISS':'rsdt'}
+ elif cmip5var=='FSNT': #these two arrays are for calculating EB for CAM models alone
+ modelvar_array = {#'CNRM' :'rsdt' , 'ECHAM61':'rsdt' , 'ECHAM63':'rsdt', 'IPSL':'rsdt', \
+ #'MetCTL':'rsdt' , 'MetENT' :'rsdt' , 'MIROC5' :'rsdt', 'AM2' :'rsdt',
+ 'CAM3' :'FSNT' , 'CAM4' :'FSNT', 'MPAS' :'FSNT'}#, 'GISS':'rsdt'}
+
+ else:
+ print('ERROR in get_modelvar_array: cmip5var ' + cmip5var + ' unknown')
+
+ return modelvar_array
+
+
+
+def get_data_gmtm(exp, var):
+
+ data = np.zeros(nmod) + np.nan
+
+ # cnrm
+ data[0] = retrieve_data_from_umiami_gmtm('CNRM' , exp, var)
+ # echam61
+ data[1 ] = retrieve_data_from_umiami_gmtm('ECHAM61', exp, var)
+ # echam63
+ data[2 ] = retrieve_data_from_umiami_gmtm('ECHAM63', exp, var)
+ # ipsl
+ data[3 ] = retrieve_data_from_umiami_gmtm('IPSL' , exp, var)
+ # metctl
+ data[4 ] = retrieve_data_from_umiami_gmtm('MetCTL' , exp, var)
+ # metent
+ data[5 ] = retrieve_data_from_umiami_gmtm('MetENT' , exp, var)
+ # miroc5
+ data[6 ] = retrieve_data_from_umiami_gmtm('MIROC5' , exp, var)
+ # am2
+ data[7 ] = retrieve_data_from_umiami_gmtm('AM2' , exp, var)
+ # cam3
+ data[8 ] = retrieve_data_from_umiami_gmtm('CAM3' , exp, var)
+ # cam4
+ data[9 ] = retrieve_data_from_umiami_gmtm('CAM4' , exp, var)
+ # mpas
+ data[10] = retrieve_data_from_umiami_gmtm('MPAS' , exp, var)
+ # mpas
+ data[11] = retrieve_data_from_umiami_gmtm('GISS' , exp, var)
+
+ return data
+
+
+def get_data_latlontm(exp, var):
+ # lat-lon time mean data
+ data = np.zeros((nmod, nlat, nlon)) + np.nan
+ # cnrm
+ data[0 , :, :] = retrieve_data_from_umiami_latlontm('CNRM' , exp, var)
+ # echam61
+ data[1 , :, :] = retrieve_data_from_umiami_latlontm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :, :] = retrieve_data_from_umiami_latlontm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :, :] = retrieve_data_from_umiami_latlontm('IPSL' , exp, var)
+ # metctl
+ data[4 , :, :] = retrieve_data_from_umiami_latlontm('MetCTL' , exp, var)
+ # metent
+ data[5 , :, :] = retrieve_data_from_umiami_latlontm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :, :] = retrieve_data_from_umiami_latlontm('MIROC5' , exp, var)
+ # am2
+ data[7 , :, :] = retrieve_data_from_umiami_latlontm('AM2' , exp, var)
+ # cam3
+ data[8 , :, :] = retrieve_data_from_umiami_latlontm('CAM3' , exp, var)
+ # cam4
+ data[9 , :, :] = retrieve_data_from_umiami_latlontm('CAM4' , exp, var)
+ # mpas
+ data[10, :, :] = retrieve_data_from_umiami_latlontm('MPAS' , exp, var)
+ # giss
+ #data[11, :, :] = retrieve_data_from_umiami_latlontm('GISS' , exp, var)
+ return data, lat, lon
+
+
+
+
+
+def get_data_zmmm(exp, var):
+ # zonal multi-month mean
+ data = np.zeros((nmod, 12, nlat)) + np.nan
+ # cnrm
+ data[0 , :, :] = retrieve_data_from_umiami_zmmm('CNRM' , exp, var)
+ # echam61
+ data[1 , :, :] = retrieve_data_from_umiami_zmmm('ECHAM61', exp, var)
+ # echam63
+ data[2 , :, :] = retrieve_data_from_umiami_zmmm('ECHAM63', exp, var)
+ # ipsl
+ data[3 , :, :] = retrieve_data_from_umiami_zmmm('IPSL' , exp, var)
+ # metctl
+ data[4 , :, :] = retrieve_data_from_umiami_zmmm('MetCTL' , exp, var)
+ # metent
+ data[5 , :, :] = retrieve_data_from_umiami_zmmm('MetENT' , exp, var)
+ # miroc5
+ data[6 , :, :] = retrieve_data_from_umiami_zmmm('MIROC5' , exp, var)
+ # am2
+ data[7 , :, :] = retrieve_data_from_umiami_zmmm('AM2' , exp, var)
+ # cam3
+ data[8 , :, :] = retrieve_data_from_umiami_zmmm('CAM3' , exp, var)
+ # cam4
+ data[9 , :, :] = retrieve_data_from_umiami_zmmm('CAM4' , exp, var)
+ # mpas
+ data[10, :, :] = retrieve_data_from_umiami_zmmm('MPAS' , exp, var)
+ # giss
+ data[11, :, :] = retrieve_data_from_umiami_zmmm('GISS' , exp, var)
+ #cam5NOR
+ data[12, :, :] = retrieve_data_from_umiami_zmmm('NORESM2' , exp, var)
+ #CRNM-AM5
+ data[13, :, :] = retrieve_data_from_umiami_zmmm('CNRM-AM5' , exp, var)
+ #CALTECH
+ data[14, :, :] = retrieve_data_from_umiami_zmmm('CALTECH' , exp, var)
+ return data, lat
+
+
+def get_data_gmam(exp, var):
+
+ data = np.zeros((nmod, 45)) + np.nan
+
+ #cnrm
+ cnrm = retrieve_data_from_umiami_gm480('CNRM' , exp, var)
+ average = yearlymean_gm(cnrm)
+ data[0, 0:average.size] =average
+ # echam61
+ echam61 = retrieve_data_from_umiami_gm480('ECHAM61', exp, var)
+ average = yearlymean_gm(echam61)
+ data[1, 0:average.size] = average
+ # echam63
+ echam63 = retrieve_data_from_umiami_gm480('ECHAM63', exp, var)
+ average = yearlymean_gm(echam63)
+ data[2, 0:average.size ] =average
+ # ipsl
+ ipsl = retrieve_data_from_umiami_gm480('IPSL' , exp, var)
+ average = yearlymean_gm(ipsl)
+ data[3, 0:average.size ] = average
+ # metctl
+ metctl = retrieve_data_from_umiami_gm480('MetCTL' , exp, var)
+ average = yearlymean_gm(metctl)
+ data[4, 0:average.size ] = average
+ # metent
+ metent = retrieve_data_from_umiami_gm480('MetENT' , exp, var)
+ average = yearlymean_gm(metent)
+ data[5, 0:average.size ] = average
+ # miroc5
+ miroc5 = retrieve_data_from_umiami_gm480('MIROC5' , exp, var)
+ average = yearlymean_gm(miroc5)
+ data[6, 0:average.size ] = average
+ # am2
+ am2 = retrieve_data_from_umiami_gm480('AM2' , exp, var)
+ average = yearlymean_gm(am2)
+ data[7, 0:average.size ] = average
+ # cam3
+ cam3 = retrieve_data_from_umiami_gm480('CAM3' , exp, var)
+ average = yearlymean_gm(cam3)
+ data[8, 0:average.size ] =average
+ # cam4
+ cam4 = retrieve_data_from_umiami_gm480('CAM4' , exp, var)
+ average = yearlymean_gm(cam4)
+ data[9, 0:average.size ] = average
+ # mpas
+ mpas = retrieve_data_from_umiami_gm480('MPAS' , exp, var)
+ average = yearlymean_gm(mpas)
+ data[10, 0:average.size] = average
+ # giss
+ #giss = retrieve_data_from_umiami_gm480('GISS' , exp, var)
+ #average = yearlymean_gm(giss)
+ #data[11, 0:average.size] = average
+
+ return data
+
+
+
+
+#old retrieve data inserted nan if the model didn't exist
+#this version inserts zero so that matrix operations may be performed on
+#the output (as in energy_balance)
+def retrieve_data_from_umiami_gmtm(model, exp, var):
+ # global time mean data
+
+ print 'retrieve_data_from_umiami_gmtm, get data for:', model, exp, var
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print varname, fname
+ # check if variable and file actually exists
+ if varname != '???' and fname != '???':
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and last nmth months
+ dat_zmtm = np.nanmean(np.nanmean(dat[-nmth:, :, :], 2), 0)
+ # now also average over latitude --> output out
+ area = np.cos(datlat*np.pi/180.0)
+ print 'retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful'
+ out = np.nansum(dat_zmtm*area)/np.nansum(area)
+ else: # either file or variable are missing
+ out = 0
+ return out
+
+
+#Experiment names are called using 'AQUA', 'AQUAO2', 'LAND', 'LANDCO2', and 'LORBIT'. Don't be fooled!
+
+def retrieve_data_from_umiami_gm(model, exp, var):
+ # global time mean data
+ print 'retrieve_data_from_umiami_gmtm, get data for:', model, exp, var
+ #model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print "check?"
+ print varname, fname
+
+# check if variable and file actually exists
+ if varname != '???' and fname != '???':
+ # file from which variable shall be read
+ fill = nc.Dataset(fname, 'r')
+
+
+ dat = np.squeeze(np.array(fill.variables[varname]))
+ #print 'DAT', dat
+
+ datlat = np.squeeze(np.array(fill.variables['lat' ])) # latitude of data set
+
+ # average over longitude, only last 240 months
+
+
+ dat_zm = np.nanmean(dat[-nmth:, :, :], 2)
+
+ # now also average over latitude --> output out
+ #to do this, I create an array which consists of the altered latitude array repeated 240 times
+ #so it hits each row (correpsonding to each of 240 monthly time averages). Then I divide by the total area.
+ #the output ("out", below) is a 240 x 1 array, with each entry being the value for that month averaged over lat and lon.
+
+ area = np.cos(datlat*np.pi/180.0)
+ area240 = np.tile(area, (240, 1))
+
+ print 'retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful'
+ out = np.nansum(dat_zm*area240, axis=1)/np.nansum(area)
+
+ else: # either file or variable are missing
+ #we can't perform matrix operations on entries with nan... what if we
+ #set them to zero so we can add/subtract?
+ out= 0.0
+ #out = np.nan
+ return out
+
+
+
+
+
+
+
+def oldretrieve_data_from_umiami_gmtm(model, exp, var):
+ # global time mean data
+ print 'retrieve_data_from_umiami_gmtm, get data for:', model, exp, var
+
+ #model specific variable name
+ print "Who knows whats wrong"
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print "check?"
+ print varname, fname
+ # check if variable and file actually exists
+ if varname != '???' and fname != '???':
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and last nmth months
+ dat_zmtm = np.nanmean(np.nanmean(dat[-nmth:, :, :], 2), 0)
+ # now also average over latitude --> output out
+ area = np.cos(datlat*np.pi/180.0)
+ print 'retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful'
+ out = np.nansum(dat_zmtm*area)/np.nansum(area)
+ else: # either file or variable are missing
+ #we can't perform matrix operations on entries with nan... what if we
+ #set them to zero so we can add/subtract?
+ out= 0.0
+ #out = np.nan
+ return out
+
+
+
+def get_url_string(model, exp, var):
+ #########################################################################
+ # I/O function to go into a csv file pulled from the TRACMIP website
+ # that finds the URL needed to access a particular variable's file on the
+ # TRACMIP server.
+ ##########################################################################
+ import os.path
+ csvfile = 'csv/' + model +'_' + exp + '.csv'
+ if (var == 'rlut') and (model == 'NORESM2'): # because NORESM2 saved their TOA rlut in a separate directory, we ignore the normal CSV for this variable
+ csvfile = 'csv/' + model +'_' + exp + '_' + var + '.csv'
+ if os.path.isfile(csvfile): # csv file exists
+ hcsvfile = open(csvfile )
+ url_string = 'https://weather.rsmas.miami.edu/repository/opendap/'
+ # if we have cmorized data for which each field is in a single file, then
+ # we need to find the line in the csv file for the variable we want to read
+ if (model == 'CNRM') or (model == 'ECHAM61') or (model == 'ECHAM63') or\
+ (model == 'IPSL') or (model == 'MetCTL' ) or (model == 'MetENT' ) or\
+ (model == 'MIROC5') or (model == 'GISS') or (model =='NORESM2') or (model =='CNRM-AM5'):
+ again = True
+ cline = 0 # number of lines that have been read
+ while again == True:
+ line = hcsvfile.readline()
+ cline = cline + 1
+ #print(line)
+ aux = (line.split("_"))
+ #print(aux)
+ var_check = aux[0]
+ if var_check == var:
+ again = False
+ if cline > 1000:
+ again = False
+ print('get_url_string, unable to find line in csv files for model', model, ', exp', exp, ', var', var)
+ url_string = '???'
+ # for models with all data in one big file we just need to read the second
+ # entry of the second line
+ elif (model == 'AM2') or (model == 'CAM3') or (model == 'CAM4') or (model == 'MPAS') or (model == 'CALTECH'):
+ line = hcsvfile.readline()
+ line = hcsvfile.readline()
+ # in case requested model is not available
+ else:
+ print('ERROR in get_url_string: model', model, 'unknown')
+
+ # once we have the line corresponding to var we need the second entry to
+ # build the complete url_string
+ if url_string != '???': # only if we found csv file and line in the csv file
+ aux = (line.split(","))
+ url_string = url_string + aux[1] + '/entry.das'
+ #print('get_url_string', model, ':', url_string)
+ # close csv file
+ hcsvfile.close()
+ else:
+ print('ERROR in get_url_string: no csv file for model', model, ', exp', exp, 'and var', var)
+ url_string = '???'
+ return(url_string)
+
+
+
+
+
+
+def retrieve_data_from_umiami_latlontm(model, exp, var):
+ # lat-lon time mean data
+ print('retrieve_data_from_umiami_latlontm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ datlon = np.squeeze(np.array(file.variables['lon' ])) # longitude of data set
+ if model == 'AM2':
+ datlat = latAM2
+ datlon = lonAM2
+ # for all models except IPSL lon is from 0-360 deg, but we want to data on -180-180
+ # so that continent is in the middle of lat-lon plots
+ if model != 'IPSL':
+ auxdat = np.zeros(dat.shape) + np.nan
+ auxlon = np.zeros(datlon.size) + np.nan
+ auxdat[:, :, datlon.size/2:datlon.size] = dat[:, :, 0:datlon.size/2]
+ auxdat[:, :, 0:datlon.size/2] = dat[:, :, datlon.size/2:datlon.size]
+ auxlon[datlon.size/2:datlon.size] = datlon[ 0:datlon.size/2]
+ auxlon[0:datlon.size/2] = datlon[datlon.size/2:datlon.size] - 360.0
+ dat = auxdat
+ datlon = auxlon
+ # average over last nmth months
+ dat_tm = np.nanmean(dat[-nmth:, :, :], 0)
+ # interpolate to lat-lon grid defined at top of file
+ out = np.zeros((nlat, nlon)) + np.nan
+ # grid of model data
+ datx, daty = np.meshgrid(datlon, datlat)
+ # grid on which we interpolate
+ x, y = np.meshgrid(lon, lat)
+ # interpolated data
+ out = griddata((datx.ravel(), daty.ravel()), dat_tm.ravel(), (x, y))
+ print('retrieve_data_from_umiami_latlontm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ print('retrieve_data_from_umiami_latlontm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros((nlat, nlon)) + np.nan
+ return out
+
+
+def retrieve_data_from_umiami_latlonmm(model, exp, var):
+ # lat-lon monthly mean data
+ print('retrieve_data_from_umiami_latlonmm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ datlon = np.squeeze(np.array(file.variables['lon' ])) # longitude of data set
+ if model == 'AM2':
+ datlat = latAM2
+ datlon = lonAM2
+ # for all models except IPSL lon is from 0-360 deg, but we want to data on -180-180
+ # so that continent is in the middle of lat-lon plots
+ if model != 'IPSL':
+ auxdat = np.zeros(dat.shape) + np.nan
+ auxlon = np.zeros(datlon.size) + np.nan
+ auxdat[:, :, datlon.size/2:datlon.size] = dat[:, :, 0:datlon.size/2]
+ auxdat[:, :, 0:datlon.size/2] = dat[:, :, datlon.size/2:datlon.size]
+ auxlon[datlon.size/2:datlon.size] = datlon[ 0:datlon.size/2]
+ auxlon[0:datlon.size/2] = datlon[datlon.size/2:datlon.size] - 360.0
+ dat = auxdat
+ datlon = auxlon
+ # average over all Januaries, Februaries, Marchs and so on
+ dat_mm = np.zeros((12, datlat.size, datlon.size)) + np.nan
+ for imonth in range(0, 12):
+ dat_mm[imonth, :, :] = np.nanmean(dat[imonth:nmth:12, :, :], axis=0)
+ # interpolate to lat-lon grid defined at top of file
+ out = np.zeros((12, nlat, nlon)) + np.nan
+ # grid of model data
+ datx, daty = np.meshgrid(datlon, datlat)
+ # grid on which we interpolate
+ x, y = np.meshgrid(lon, lat)
+ # interpolated data
+ for imonth in range(0, 12):
+ out[imonth, :, :] = griddata((datx.ravel(), daty.ravel()), dat_mm[imonth, :, :].ravel(), (x, y))
+ print('retrieve_data_from_umiami_latlonmm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ print('retrieve_data_from_umiami_latlonmm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros((12, nlat, nlon)) + np.nan
+ return out
+
+
+def retrieve_data_from_umiami_zmtm(model, exp, var):
+ # zonal time mean data
+ print('retrieve_data_from_umiami_zmtm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat' ])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and last nmth months
+ dat_zmtm = np.nanmean(np.nanmean(dat[-nmth:, :, :], 2), 0)
+ # interpolate to lat defined at top of file
+ out = np.zeros(nlat) + np.nan
+ # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+ if datlat[0] > datlat[1]:
+ dat_zmtm = dat_zmtm[::-1]
+ datlat = datlat[::-1]
+ print('retrieve_data_from_umiami_zmtm, get data for', model, exp, var, 'successful')
+ out = np.interp(lat, datlat, dat_zmtm)
+ else: # file does not exist
+ print('retrieve_data_from_umiami_zmtm, get data for', model, exp, var, 'failed and data set to nan')
+ out = np.zeros(nlat) + np.nan
+ return out
+
+
+def retrieve_data_from_umiami_zmmm(model, exp, var):
+ # zonal monthly mean data
+ print('retrieve_data_from_umiami_zmmm, get data for:', model, exp, var)
+ # model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print(varname, fname)
+ # check if variable and file actually exists
+ if (varname != '???') and (fname != '???'):
+ # file from which variable shall be read
+ file = nc.Dataset(fname, 'r')
+ dat = np.squeeze(np.array(file.variables[varname]))
+ datlat = np.squeeze(np.array(file.variables['lat'])) # latitude of data set
+ if model == 'AM2': datlat = latAM2
+ # average over longitude and only take last nmth months
+ dat_zm = np.nanmean(dat[-(nmth+3):, :, :], 2)
+ # average over all Januaries, Februaries, Marchs and so on
+ dat_zmmm = np.zeros((12, datlat.size)) + np.nan
+ if model != 'CALTECH' :
+ for imonth in range(0, 12):
+ dat_zmmm[imonth, :] = np.nanmean(dat_zm[(imonth+3):(nmth+3):12, :], axis=0)
+ elif model == 'CALTECH': #caltech starts model in April. Shift count by 3
+ for imonth in range(0, 12):
+ dat_zmmm[imonth, :] = np.nanmean(dat_zm[imonth:nmth:12, :], axis=0)
+
+
+ # interpolate to lat defined at top of file
+ out = np.zeros((12, nlat)) + np.nan
+ # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+ if datlat[0] > datlat[1]:
+ dat_zmmm = dat_zmmm[:, ::-1]
+ datlat = datlat[::-1]
+ for imonth in range(0, 12):
+ out[imonth, :] = np.interp(lat, datlat, dat_zmmm[imonth, :])
+ print('retrieve_data_from_umiami_zmmm, get data for', model, exp, var, 'successful')
+ else: # file does not exist
+ out = np.zeros((12, nlat)) + np.nan
+ print('retrieve_data_from_umiami_zmmm, get data for', model, exp, var, 'failed and data set to nan')
+ return out
+
+
+
+
+
+def yearlymean_gm(gm_data):
+ #data = gm_data
+ #average = np.zeros(gm_data.size/12)
+ #for i in range (0,20):
+ # average[i]= data[i*12:i*12+12].sum()/12
+ #print average
+ #return average
+ shape = np.reshape(gm_data, (gm_data.size/12, 12))
+ shape.shape
+ shape_average = np.nanmean(shape, axis =1 )
+ return shape_average
+
+
+def retrieve_data_from_umiami_gm480(model, exp, var):
+ # global time mean data
+ print 'retrieve_data_from_umiami_gmtm, get data for:', model, exp, var
+ #model specific variable name
+ varname = '???'
+ varname = cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = get_url_string(model, exp, varname)
+ print "check?"
+ print varname, fname
+
+# check if variable and file actually exists
+ if varname != '???' and fname != '???':
+ # file from which variable shall be read
+ fill = nc.Dataset(fname, 'r')
+
+
+ dat = np.squeeze(np.array(fill.variables[varname]))
+ #print 'DAT', dat
+
+ datlat = np.squeeze(np.array(fill.variables['lat' ])) # latitude of data set
+
+ # average over longitude, only last 240 months
+
+
+ dat_zm = np.nanmean(dat, 2)
+
+ # now also average over latitude --> output out
+ #to do this, I create an array which consists of the altered latitude array repeated 240 times
+ #so it hits each row (correpsonding to each of 240 monthly time averages). Then I divide by the total area.
+ #the output ("out", below) is a 240 x 1 array, with each entry being the value for that month averaged over lat and lon.
+
+ area = np.cos(datlat*np.pi/180.0)
+ area360 = np.tile(area, (dat_zm[:, 0].size, 1))
+
+ print 'retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful'
+ out = np.nansum(dat_zm*area360, axis=1)/np.nansum(area)
+
+ else: # either file or variable are missing
+ #we can't perform matrix operations on entries with nan... what if we
+ #set them to zero so we can add/subtract?
+ out= 0.0
+ #out = np.nan
+ return out
+
+
+
+def retrieve_data_from_umiami_hemi(model, exp, var):
+ # global time mean data
+ print 'retrieve_data_from_umiami_gmtm, get data for:', model, exp, var
+ #model specific variable name
+ varname = '???'
+ varname = alt.cmip5var_to_modelvar(var, model)
+ # file from which variable shall be read
+ fname = '???'
+ fname = alt.get_url_string(model, exp, varname)
+ print "check?"
+ print varname, fname
+
+# check if variable and file actually exists
+ if varname != '???' and fname != '???':
+ # file from which variable shall be read
+ fill = nc.Dataset(fname, 'r')
+
+
+ dat = np.squeeze(np.array(fill.variables[varname]))
+ #print 'DAT', dat
+
+ datlat = np.squeeze(np.array(fill.variables['lat' ])) # latitude of data set
+
+ #average over longitude, only last 240 months
+
+ #latitude slice needs to be adjusted based on the model and the hemisphere desired.
+ dat_zm = np.nanmean(dat[-240:, -72:, :], 2)
+
+ # now also average over latitude --> output out
+ #to do this, I create an array which consists of the altered latitude array repeated 240 times
+ #so it hits each row (correpsonding to each of 240 monthly time averages). Then I divide by the total area.
+ #the output ("out", below) is a 240 x 1 array, with each entry being the value for that month averaged over lat and lon.
+
+ area = np.cos(datlat[-72:]*np.pi/180.0)
+ area240 = np.tile(area, (240, 1))
+
+ print 'retrieve_data_from_umiami_gmtm, get data for', model, exp, var, 'successful'
+ out = np.nansum(dat_zm*area240, axis=1)/np.nansum(area)
+
+ else: # either file or variable are missing
+ #we can't perform matrix operations on entries with nan... what if we
+ #set them to zero so we can add/subtract?
+ #out= 0.0
+ out = np.nan
+ return out#, dat, datlat, dat_zm, area, area240
+
+
diff --git a/ramadda/mymodules/tracmipmodels.py b/ramadda/mymodules/tracmipmodels.py
new file mode 100644
index 0000000000000000000000000000000000000000..6628e88814abcf1e9ec71417f027d250b393b0b2
--- /dev/null
+++ b/ramadda/mymodules/tracmipmodels.py
@@ -0,0 +1,55 @@
+# load modules
+import numpy as np
+
+def get_modelnames():
+ modnames = ['CNRM-AM5 old', # 0 --> ??
+ 'ECHAM6.1' , # 1 6
+ 'ECHAM6.3' , # 2 7
+ 'LMDZ5A' , # 3 9
+ 'MetUM-CTL' , # 4 10
+ 'MetUM-ENT' , # 5 11
+ 'MIROC5' , # 6 12
+ 'AM2.1' , # 7 1
+ 'CAM3' , # 8 2
+ 'CAM4' , # 9 3
+ 'MPAS' , # 10 13
+ 'GISS ModelE2', # 11 8
+ 'CAM5Nor' , # 12 4
+ 'CNRM-AM5' , # 13 5
+ 'CALTECH'] # 14 14
+ return modnames
+
+def get_modelnumbers():
+ modnumbers = ['??', '6', '7', '9', '10', '11', \
+ '12', '1', '2', '3', '13', '8', '4', '5', '14']
+ return modnumbers
+
+def get_availablemodels(exp):
+ if (exp == 'aqct'):
+ modlist = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ if (exp == 'aq4x'):
+ modlist = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ if (exp == 'ldct'):
+ modlist = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14]
+ if (exp == 'ld4x'):
+ modlist = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14]
+ if (exp == 'ldor'):
+ modlist = [1, 2, 3, 4, 5, 6, 8, 9, 10, 13 ]
+ return modlist
+
+def get_modelcolors12():
+ # from color brewer: http://colorbrewer2.org/
+ modcolors12 = np.array([(166,206,227), (31,120,180), (178,223,138), (51,160,44), \
+ (251,154,153), (227,26,28) , (253,191,111), (255,127,0), \
+ (202,178,214), (106,61,154), (255,255,153), (177,89,40)])/255
+ return modcolors12
+
+def get_modelcolors(nmod):
+ # from http://graphicdesign.stackexchange.com/questions/3682/where-can-i-find-a-large-palette-set-of-contrasting-colors-for-coloring-many-d
+ colors = np.array([(240,163,255),(0,117,220),(153,63,0),(76,0,92),(25,25,25), \
+ (0,92,49),(43,206,72),(255,204,153),(128,128,128),(148,255,181), \
+ (143,124,0),(157,204,0),(194,0,136),(0,51,128),(255,164,5), \
+ (255,168,187),(66,102,0),(255,0,16),(94,241,242),(0,153,143), \
+ (224,255,102),(116,10,255),(153,0,0),(255,255,128),(255,255,0), \
+ (255,80,5)])/255
+ return colors[0:nmod]
diff --git a/ramadda/pr_globalmean_AquaControl_LandControl.py b/ramadda/pr_globalmean_AquaControl_LandControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..95567e269b54ed5e3adef5240b659749a7292c92
--- /dev/null
+++ b/ramadda/pr_globalmean_AquaControl_LandControl.py
@@ -0,0 +1,69 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.patches import Polygon
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# load global mean pr and ts data
+file = np.load('pr_globaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_ldct = file['pr_ldct']
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_ldct = file['ts_ldct']
+
+nmod = pr_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# plotting
+fig = plt.figure( figsize=(12, 4.5), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+#xfit = np.linspace(286, 310, 100)
+#yfit = 2.67 * ( 1 + 0.02*(xfit - (273.15+14.3)) ); plt.plot(xfit, yfit, 'gray', alpha=0.4)
+#yfit = 2.67 * ( 1 + 0.03*(xfit - (273.15+14.3)) ); plt.plot(xfit, yfit, 'gray', alpha=0.4)
+ax.add_patch(Polygon([[273.15+14.3, 2.67], [273.15+14.3+20, 2.67*(1+0.02*20)], [273.15+14.3+20, 2.67*(1+0.03*20)]], True, alpha=0.4, facecolor='gray', edgecolor='none', linewidth=2))
+ax.add_patch(Polygon([[273.15+14.3, 2.67], [273.15+14.3-20, 2.67*(1+0.02*-20)], [273.15+14.3-20, 2.67*(1+0.03*-20)]], True, alpha=0.4, facecolor='gray', edgecolor='none', linewidth=2))
+plt.plot(273.15+14.3, 2.67, 'kx', ms=12, mew=3)
+for i in modlist_aqct:
+ plt.text(ts_aqct[i], pr_aqct[i], modelnumbers[i], ha='center', va='center', color=modelcolors[i], fontsize=14, fontweight='normal')
+for i in modlist_ldct:
+ plt.text(ts_ldct[i], pr_ldct[i], modelnumbers[i], ha='center', va='center', color=modelcolors[i], fontsize=14, fontweight='normal')
+ plt.text(ts_ldct[i], pr_ldct[i]-0.06, '_', ha='center', va='bottom', color=modelcolors[i], fontsize=14, fontweight='normal')
+plt.xlim(287, 302), plt.ylim(2.6, 4.5)
+plt.xlabel('Global surface temperature (K)')
+plt.ylabel('Global precipitation (mm/day)')
+plt.text(302, 3.75, '2-3%/K', fontsize=12, rotation=-90, fontstyle='italic' )
+plt.text(288.2, 2.65, 'present-day', fontsize=12, fontstyle='italic')
+
+ax = plt.subplot(1, 2, 2)
+plt.xlim(0, 1), plt.ylim(0, 1)
+plt.axis('off')
+for m in modlist_aqct:
+ plt.text(0.0, 1.06-0.08*np.float(modelnumbers[m]), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.1, 1.06-0.08*np.float(modelnumbers[m]), modelnames[m], color=modelcolors[m], fontsize=14)
+
+plt.tight_layout
+
+plt.savefig('figs/pr_globalmean_AquaControl_LandControl.pdf')
+
+print(pr_aqct[modlist_aqct])
+print(np.min(pr_aqct[modlist_aqct]), np.max(pr_aqct[modlist_aqct]), np.median(pr_aqct[modlist_aqct]))
+
+plt.show()
diff --git a/ramadda/pr_globaltimemean_AquaControl_vs_LandControl.py b/ramadda/pr_globaltimemean_AquaControl_vs_LandControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..0b4e35289cca4e50f4a4385e7b376b996247fb9d
--- /dev/null
+++ b/ramadda/pr_globaltimemean_AquaControl_vs_LandControl.py
@@ -0,0 +1,66 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# loading data
+print('Load global time mean pr')
+file = np.load('pr_globaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_ldct = file['pr_ldct']
+
+nmod = pr_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# get available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# plotting
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([0, 10], [0, 10], 'k--')
+for i in modlist_ldct:
+ plt.text(pr_aqct[i], pr_ldct[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('Global precipitation (mm/day)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl', fontsize=12)
+plt.xlim(3.2, 4.6), plt.ylim(3.2, 4.6)
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([0, 10], [0, 0], 'k--')
+for i in modlist_ldct:
+ plt.text(pr_aqct[i], (pr_ldct-pr_aqct)[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('Global precipitation (mm/day)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl - AquaControl', fontsize=12)
+plt.xlim(3.2, 4.6), plt.ylim(-0.3, 0.3)
+
+plt.tight_layout
+plt.savefig('figs/pr_globaltimemean_AquaControl_LandControl.pdf')
+
+print(np.nanmedian((pr_ldct-pr_aqct)[modlist_ldct]))
+
+print((pr_ldct-pr_aqct)[modlist_ldct])
+
+plt.show()
diff --git a/ramadda/pr_modelmedian_allexperiments.py b/ramadda/pr_modelmedian_allexperiments.py
new file mode 100644
index 0000000000000000000000000000000000000000..d89346a7a3b3333ca65a3a4b85ce7f5361f8261c
--- /dev/null
+++ b/ramadda/pr_modelmedian_allexperiments.py
@@ -0,0 +1,118 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+def make_nice_plot(ax, title):
+ plt.xlim(-178, 178), plt.ylim(-0.6, 0.6)
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''],fontsize=10)
+ ax.yaxis.set_ticks([-0.5, 0, 0.5])
+ ax.yaxis.set_ticklabels([''], fontsize=10)
+ plt.title(title, fontsize=14)
+
+# load data
+file = np.load('pr_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+pr_aqct = file['pr_aqct']
+pr_aq4x = file['pr_aq4x']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+pr_ldor = file['pr_ldor']
+
+nmod = pr_aqct[:, 0, 0].size
+sinlat = np.sin(lat*np.pi/180)
+nlon = lon.size
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+# model median itcz
+itcz_aqct_mm = np.zeros(nlon) + np.nan
+itcz_aq4x_mm = np.zeros(nlon) + np.nan
+itcz_ldct_mm = np.zeros(nlon) + np.nan
+itcz_ld4x_mm = np.zeros(nlon) + np.nan
+itcz_ldor_mm = np.zeros(nlon) + np.nan
+for i in range(0, nlon):
+ itcz_aqct_mm[i] = atm.get_itczposition(np.nanmedian(pr_aqct[modlist_aqct, :, i], axis=0), lat, 30.0, 0.1)
+ itcz_aq4x_mm[i] = atm.get_itczposition(np.nanmedian(pr_aq4x[modlist_aq4x, :, i], axis=0), lat, 30.0, 0.1)
+ itcz_ldct_mm[i] = atm.get_itczposition(np.nanmedian(pr_ldct[modlist_ldct, :, i], axis=0), lat, 30.0, 0.1)
+ itcz_ld4x_mm[i] = atm.get_itczposition(np.nanmedian(pr_ld4x[modlist_ld4x, :, i], axis=0), lat, 30.0, 0.1)
+ itcz_ldor_mm[i] = atm.get_itczposition(np.nanmedian(pr_ldor[modlist_ldor, :, i], axis=0), lat, 30.0, 0.1)
+
+
+# plotting
+plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')
+
+clev = np.array([1, 3, 5, 7, 9, 11, 13])
+clev = np.array([1, 3, 5, 7, 9, 11])
+
+ax = plt.subplot(3, 2, 1)
+plt.contourf(lon, sinlat, np.nanmedian(pr_aqct[modlist_aqct], axis=0), clev, cmap=cm.Blues, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(itcz_aqct_mm*np.pi/180.0), 'firebrick', linewidth=2)
+make_nice_plot(ax, 'AquaControl')#, plt.ylabel('hPa', fontsize=12)
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 3)
+c=plt.contourf(lon, sinlat, np.nanmedian(pr_aq4x[modlist_aq4x], axis=0), clev, cmap=cm.Blues, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(itcz_aq4x_mm*np.pi/180.0), 'firebrick', linewidth=2)
+make_nice_plot(ax, 'Aqua4xCO2')
+ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(0, -0.1, 'mm/day', fontsize=10, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+plt.contourf(lon, sinlat, np.nanmedian(pr_ldct[modlist_ldct], axis=0), clev, cmap=cm.Blues, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(itcz_ldct_mm*np.pi/180.0), 'firebrick', linewidth=2)
+make_nice_plot(ax, 'LandControl')
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 4)
+plt.contourf(lon, sinlat, np.nanmedian(pr_ld4x[modlist_ld4x], axis=0), clev, cmap=cm.Blues, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(itcz_ld4x_mm*np.pi/180.0), 'firebrick', linewidth=2)
+make_nice_plot(ax, 'Land4xCO2')
+from matplotlib.patches import Rectangle
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 6)
+plt.contourf(lon, sinlat, np.nanmedian(pr_ldor[modlist_ldor], axis=0), clev, cmap=cm.Blues, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+plt.plot(lon, np.sin(itcz_ldor_mm*np.pi/180.0), 'firebrick', linewidth=2)
+make_nice_plot(ax, 'LandOrbit')
+from matplotlib.patches import Rectangle
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)
+ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10)
+plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+plt.tight_layout
+
+plt.savefig('figs/pr_modelmedian_allexperiments.pdf')
+
+plt.show()
diff --git a/ramadda/pr_zonalmean_nhsummer.py b/ramadda/pr_zonalmean_nhsummer.py
new file mode 100644
index 0000000000000000000000000000000000000000..68ec2da170e936ee488a35001b7f126da9322f34
--- /dev/null
+++ b/ramadda/pr_zonalmean_nhsummer.py
@@ -0,0 +1,48 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS', 'GISS']
+
+# load global mean pr and ts data
+file = np.load('pr_zonalmonthmean.npz')
+lat = file['lat']
+pr_aqct = file['pr_aqct']
+pr_ldct = file['pr_ldct']
+pr_ldor = file['pr_ldor']
+
+nmod = pr_aqct[:, 0, 0].size
+nmth = pr_aqct[0, :, 0].size
+month = np.arange(1, 13)
+
+plt.contourf(lat, month, pr_aqct[0, :, :])
+
+plt.figure()
+
+plt.subplot(2, 3, 1)
+for m in range(0, nmod):
+ plt.plot(lat, np.nanmean(pr_aqct[m, 8:11, :], axis=0))
+
+plt.subplot(2, 3, 2)
+for m in range(0, nmod):
+ plt.plot(lat, np.nanmean(pr_ldct[m, 8:11, :], axis=0))
+
+plt.subplot(2, 3, 5)
+for m in range(0, nmod):
+ plt.plot(lat, np.nanmean(pr_ldct[m, 8:11, :] - pr_aqct[m, 8:11, :], axis=0))
+
+plt.subplot(2, 3, 3)
+for m in range(0, nmod):
+ plt.plot(lat, np.nanmean(pr_ldor[m, 8:11, :], axis=0))
+
+plt.subplot(2, 3, 6)
+for m in range(0, nmod):
+ plt.plot(lat, np.nanmean(pr_ldor[m, 8:11, :] - pr_ldct[m, 8:11, :], axis=0))
+
+plt.show()
diff --git a/ramadda/precip_landcontrol_versus_landorbit.py b/ramadda/precip_landcontrol_versus_landorbit.py
new file mode 100644
index 0000000000000000000000000000000000000000..99540a0843df9d533c6b10f2ccce91dce71d2fc3
--- /dev/null
+++ b/ramadda/precip_landcontrol_versus_landorbit.py
@@ -0,0 +1,40 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+
+# load global mean pr and ts data
+file = np.load('pr_zonaltimemean.npz')
+lat = file['lat']
+pr_ldct = file['pr_ldct']
+pr_ldor = file['pr_ldor']
+
+nmod = pr_ldct[:, 0].size
+
+# plotting
+fig = plt.figure( figsize=(15, 10), dpi=80, facecolor='w', edgecolor='k' )
+
+for i in range(0, nmod):
+ ax = plt.subplot(3, 4, i+1)
+ ax.spines['right'].set_color('none')
+ ax.spines['top'].set_color('none')
+ ax.xaxis.set_ticks_position('bottom')
+ ax.yaxis.set_ticks_position('left')
+ plt.plot(lat, pr_ldct[i, :], 'b', linewidth=2)
+ plt.plot(lat, pr_ldor[i, :], 'g', linewidth=2)
+ plt.plot(lat, pr_ldor[i, :] - pr_ldct[i, :], 'g--', linewidth=2)
+ plt.title(models[i])
+ plt.xlim(-80, 80), plt.ylim([-1, 10])
+ if i==0:
+ plt.text(-70, 1, 'LandControl', color='blue' , fontsize=14, fontweight='bold')
+ plt.text(-70, 0, 'LandOrbit' , color='green', fontsize=14, fontweight='bold')
+
+plt.tight_layout
+
+plt.savefig('figs/precip_landcontrol_versus_landorbit.pdf')
+
+plt.show()
diff --git a/ramadda/rsdt_zonalmonthmean.py b/ramadda/rsdt_zonalmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..63b159b6c9fa36fce21d3afda1bf6ead69a4e08a
--- /dev/null
+++ b/ramadda/rsdt_zonalmonthmean.py
@@ -0,0 +1,80 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# load global mean pr and ts data
+file = np.load('rsdt_zonalmonthmean.npz')
+lat = file['lat']
+rsdt_aqct = file['rsdt_aqct']
+rsdt_ldct = file['rsdt_ldct']
+rsdt_ldor = file['rsdt_ldor']
+
+nmod = rsdt_aqct[:, 0, 0].size
+nmth = rsdt_aqct[0, :, 0].size
+month = np.arange(1, 13)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+plt.subplot(1, 2, 1)
+plt.contourf(lat, month, rsdt_aqct[2, :, :])
+plt.title(modelnames[2])
+
+plt.subplot(1, 2, 2)
+plt.contourf(lat, month, rsdt_aqct[14, :, :])
+plt.title(modelnames[14])
+plt.savefig('figs/rsdt_aquacontrol_echam63_caltech.pdf')
+
+plt.figure()
+plt.subplot(1, 2, 1)
+plt.contourf(lat, month, rsdt_aqct[2, :, :])
+plt.title(modelnames[2])
+
+plt.subplot(1, 2, 2)
+plt.contourf(lat, month, rsdt_aqct[13, :, :])
+plt.title(modelnames[13])
+
+plt.figure()
+plt.subplot(1, 2, 1)
+plt.contourf(lat, month, rsdt_ldor[2, :, :]-rsdt_ldct[2, :, :])
+plt.title(modelnames[2])
+
+plt.subplot(1, 2, 2)
+plt.contourf(lat, month, rsdt_ldor[8, :, :]-rsdt_ldct[8, :, :])
+plt.title(modelnames[8])
+plt.savefig('figs/rsdt_landorbit-landcontrol_echam63_cam3.pdf')
+
+plt.show()
+stophere
+
+plt.figure()
+imonth=[5]
+plt.subplot(2, 3, 1)
+for m in range(1, nmod):
+ plt.plot(lat, np.nanmean(rsdt_aqct[m, imonth, :], axis=0), color=modelcolors[m])
+
+plt.subplot(2, 3, 2)
+for m in range(1, nmod):
+ plt.plot(lat, np.nanmean(rsdt_ldct[m, imonth, :], axis=0), color=modelcolors[m])
+
+plt.subplot(2, 3, 5)
+for m in range(1, nmod):
+ plt.plot(lat, np.nanmean(rsdt_ldct[m, imonth, :] - rsdt_aqct[m, imonth, :], axis=0), color=modelcolors[m])
+
+plt.subplot(2, 3, 3)
+for m in range(1, nmod):
+ plt.plot(lat, np.nanmean(rsdt_ldor[m, imonth, :], axis=0), color=modelcolors[m])
+
+plt.subplot(2, 3, 6)
+for m in range(1, nmod):
+ plt.plot(lat, np.nanmean(rsdt_ldor[m, imonth, :] - rsdt_ldct[m, imonth, :], axis=0), color=modelcolors[m])
+
+plt.show()
diff --git a/ramadda/rsdt_zonalmonthmean_LandControl_vs_LandOrbit.py b/ramadda/rsdt_zonalmonthmean_LandControl_vs_LandOrbit.py
new file mode 100644
index 0000000000000000000000000000000000000000..836a9b2dd6a7bd63823cb2718e426c79f22a4aac
--- /dev/null
+++ b/ramadda/rsdt_zonalmonthmean_LandControl_vs_LandOrbit.py
@@ -0,0 +1,95 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+def make_niceplot_v1(ax):
+ plt.xlim(1, 12), plt.ylim(-0.98, 0.98)
+ ax.xaxis.set_ticks([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+ ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+
+def make_niceplot_v2(ax):
+ ax.spines['right'].set_color('none')
+ ax.spines['top'].set_color('none')
+ ax.xaxis.set_ticks_position('bottom')
+ ax.yaxis.set_ticks_position('left')
+ ax.spines['left'].set_position(('data', 0.0))
+ plt.xlim(-25, 25), plt.ylim(-0.98, 0.98)
+ ax.xaxis.set_ticks([-20, -10, 0, 0, 10, 20])
+ ax.xaxis.set_ticklabels([-20, -10, 0, 0, 10, 20], fontsize=10)
+ ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ plt.xlabel(r'W/m$^2$', fontsize=12)
+
+# load data
+file = np.load('rsdt_zonalmonthmean.npz')
+lat = file['lat']
+rsdt_ldct = file['rsdt_ldct']
+rsdt_ldor = file['rsdt_ldor']
+
+nmod = rsdt_ldct[:, 0, 0].size
+nmth = rsdt_ldct[0, :, 0].size
+month = np.arange(1, 13)
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+# plotting LandOrbit - LandControl
+plt.figure(figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(3, 2, 1)
+clev = [0, 50, 100, 150, 200, 350, 400, 450, 500, 550]
+make_niceplot_v1(ax)
+c = plt.contourf(month, sinlat, np.transpose(np.nanmedian(rsdt_ldct[modlist_ldct], axis=0)), clev, cmap=cm.OrRd)
+plt.text(0.02, 0.94, 'a)', fontsize=14, ha='left', va='center', backgroundcolor='white', transform=ax.transAxes)
+plt.title('LandControl', fontsize=14)
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, r'W/m$^2$', fontsize=11, ha='right')
+
+ax = plt.subplot(3, 2, 2)
+make_niceplot_v1(ax)
+clev = [-26, -22, -18, -14, -10, -6, -2, 2, 6, 10, 14, 18, 22, 26]
+c = plt.contourf(month, sinlat, np.transpose(np.nanmedian((rsdt_ldor - rsdt_ldct)[modlist_ldor], axis=0)), clev, cmap=cm.RdBu_r)
+plt.text(0.02, 0.94, 'b)', fontsize=14, ha='left', va='center', backgroundcolor='white', transform=ax.transAxes)
+plt.title('LandOrbit - LandControl', fontsize=14)
+
+ax = plt.subplot(3, 2, 6)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-22, -14, -6, 0, 6, 14, 22], orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, -0.17, r'W/m$^2$', fontsize=11, ha='right')
+
+ax = plt.subplot(3, 2, 3)
+make_niceplot_v2(ax)
+plt.plot(np.nanmedian((rsdt_ldor-rsdt_ldct)[modlist_ldor, 5, :], axis=0), sinlat, 'royalblue', linewidth=2)
+plt.plot(np.nanmedian((rsdt_ldor-rsdt_ldct)[modlist_ldor, 11, :], axis=0), sinlat, 'firebrick', linewidth=2)
+plt.text(0.02, 0.94, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+plt.title('LandOrbit - LandControl', fontsize=14)
+plt.text(0.1, 0.8, 'June', fontsize=14, color='royalblue', ha='right', va='center', transform=ax.transAxes)
+plt.text(0.68, 0.2, 'December', fontsize=14, color='firebrick', ha='left', va='center', transform=ax.transAxes)
+
+plt.tight_layout()
+plt.savefig('figs/rsdt_zonalmonthmean_LandOrbit_minus_LandControl_version2.pdf')
+
+
+plt.show()
diff --git a/ramadda/sfcalbedo_latlontimemean.py b/ramadda/sfcalbedo_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..5efaea4395d3fcc7c4cc01cda284e7f476fc6223
--- /dev/null
+++ b/ramadda/sfcalbedo_latlontimemean.py
@@ -0,0 +1,50 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS', 'GISS']
+
+# load rsdscs and rsuscs data
+file = np.load('rsdscs_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+rsdscs_aqct = file['rsdscs_aqct']
+rsdscs_ldct = file['rsdscs_ldct']
+file = np.load('rsuscs_latlontimemean.npz')
+rsuscs_aqct = file['rsuscs_aqct']
+rsuscs_ldct = file['rsuscs_ldct']
+
+nmod = rsdscs_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+plt.figure()
+for m in range(0, nmod):
+ plt.subplot(3, 4, m+1)
+ c = plt.contourf(lon, lat, (rsuscs_ldct/rsdscs_ldct)[m, :, :])
+ plt.colorbar(c)
+ plt.title(modelnames[m])
+
+
+plt.figure()
+for m in range(0, nmod):
+ plt.subplot(3, 4, m+1)
+ c = plt.contourf(lon, lat, (rsuscs_ldct/rsdscs_ldct - rsuscs_aqct/rsdscs_aqct)[m, :, :])#, \
+ #[-0.01, -0.005, 0.005, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1])
+ plt.colorbar(c)
+ plt.title(modelnames[m])
+
+
+plt.show()
diff --git a/ramadda/sfcalbedo_ts_globaltimemean.py b/ramadda/sfcalbedo_ts_globaltimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce7e4d0d8097213e11e1490edf668134ce8dc537
--- /dev/null
+++ b/ramadda/sfcalbedo_ts_globaltimemean.py
@@ -0,0 +1,87 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# load data
+file = np.load('rsuscs_zonaltimemean.npz')
+lat = file['lat']
+rsuscs_aqct = file['rsuscs_aqct']
+file = np.load('rsdscs_zonaltimemean.npz')
+rsdscs_aqct = file['rsdscs_aqct']
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+
+nmod = rsuscs_aqct[:, 0].size
+print('Number of models:', nmod)
+nlat = lat.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+
+# analysis
+area = np.cos(lat*np.pi/180)
+
+# global mean surface albedo
+sfcalb_aqct = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ sfcalb_aqct[m] = np.abs(np.sum(rsuscs_aqct[m, :]*area) / np.sum(rsdscs_aqct[m, :]*area))
+
+sfcalb_aqct[14]=0.06 #0.38 # caltech surface albedo
+
+# plotting
+plt.figure()
+for m in modlist_aqct:
+ plt.subplot(4, 4, m+1)
+ plt.plot(lat, rsdscs_aqct[m, :])
+
+ plt.title(modelnames[m])
+
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for m in modlist_aqct:
+ plt.text(sfcalb_aqct[m], ts_aqct[m], modelnumbers[m], color=modelcolors[m], fontsize=14, \
+ fontweight='normal', ha='center', va='center', backgroundcolor='none')
+#plt.text(sfcalb_aqct[14], ts_aqct[14], '*'color=modelcolors[14], fontsize=14, \
+#fontweight='bold', ha='center', va='center', backgroundcolor='none')
+plt.xlim(0.05, 0.105), plt.ylim(290, 302)
+plt.title('AquaControl', fontsize=14)
+plt.xlabel('Global surface albedo', fontsize=12)
+plt.ylabel('Global surface temperature (K)', fontsize=12)
+ax.xaxis.set_ticks([0.06, 0.08, 0.1])
+ax.xaxis.set_ticklabels([0.06, 0.08, 0.10], fontsize=10)
+ax.yaxis.set_ticks([290, 294, 298, 302])
+ax.yaxis.set_ticklabels([290, 294, 298, 302], fontsize=10)
+
+ax = plt.subplot(1, 2, 2)
+plt.xlim(0, 1), plt.ylim(0, 1)
+plt.axis('off')
+for m in modlist_aqct:
+ plt.text(0.0, 1.06-0.08*np.float(modelnumbers[m]), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.1, 1.06-0.08*np.float(modelnumbers[m]), modelnames[m], color=modelcolors[m], fontsize=14)
+
+plt.tight_layout
+plt.savefig('figs/sfcalbedo_ts_globaltimemean_aquacontrol.pdf')
+
+print(np.nanmedian(ts_aqct[modlist_aqct]))
+print(np.nanmax(ts_aqct[modlist_aqct]))
+print(np.nanmin(ts_aqct[modlist_aqct]))
+
+print(np.abs(ts_aqct[modlist_aqct]-np.nanmedian(ts_aqct[modlist_aqct])))
+
+plt.show()
diff --git a/ramadda/ts_aquacontrol_zonalmonthmean.py b/ramadda/ts_aquacontrol_zonalmonthmean.py
new file mode 100644
index 0000000000000000000000000000000000000000..93d4889ab7d6a1ba112aed46a5c60a2f36c42bd0
--- /dev/null
+++ b/ramadda/ts_aquacontrol_zonalmonthmean.py
@@ -0,0 +1,30 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS', 'GISS']
+
+# load global mean pr and ts data
+file = np.load('ts_zonalmonthmean.npz')
+lat = file['lat']
+ts_aqct = file['ts_aqct']
+
+nmod = ts_aqct[:, 0, 0].size
+nmth = ts_aqct[0, :, 0].size
+
+plt.contourf(ts_aqct[4, :, :])
+
+print(ts_aqct.shape)
+
+plt.figure()
+
+for m in range(0, nmth):
+ plt.plot(lat, ts_aqct[5, m, :])
+
+plt.show()
diff --git a/ramadda/ts_globalmean_allmonths.py b/ramadda/ts_globalmean_allmonths.py
new file mode 100644
index 0000000000000000000000000000000000000000..0cba6084a0c24766d580a1eeec62967c3ec94d79
--- /dev/null
+++ b/ramadda/ts_globalmean_allmonths.py
@@ -0,0 +1,88 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as spstats
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# loading data
+print('Load global mean ts for all months')
+file = np.load('ts_globalmean_allmonths.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+
+nmod = ts_aqct[:, 0].size
+print(nmod)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+# plotting
+plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(3, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for i in modlist_aqct:
+ plt.plot(ts_aqct[i, :], color=modelcolors[i])
+plt.title('AquaControl')
+
+ax = plt.subplot(3, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for i in modlist_aq4x:
+ plt.plot(ts_aq4x[i, :], color=modelcolors[i])
+plt.title('Aqua4xCO2')
+
+ax = plt.subplot(3, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for i in modlist_ldct:
+ plt.plot(ts_ldct[i, :], color=modelcolors[i])
+plt.title('LandControl')
+
+ax = plt.subplot(3, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for i in modlist_ld4x:
+ plt.plot(ts_ld4x[i, :], color=modelcolors[i])
+plt.title('Land4xCO2')
+
+ax = plt.subplot(3, 2, 6)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+for i in modlist_ldor:
+ plt.plot(ts_ldor[i, :], color=modelcolors[i])
+plt.title('LandOrbit')
+
+plt.tight_layout
+plt.savefig('figs/ts_globalmean_allmonths.pdf')
+
+plt.show()
+
diff --git a/ramadda/ts_globaltimemean_AquaControl_vs_LandControl.py b/ramadda/ts_globaltimemean_AquaControl_vs_LandControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..c87f64800db02f8cbdf1308ada281fc1e3bd4a70
--- /dev/null
+++ b/ramadda/ts_globaltimemean_AquaControl_vs_LandControl.py
@@ -0,0 +1,74 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/fd8940/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+# loading data
+print('Load global time mean ts')
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_ldct = file['ts_ldct']
+
+nmod = ts_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# get available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+
+# plotting
+plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([280, 310], [280, 310], 'k--')
+for i in modlist_ldct:
+ plt.text(ts_aqct[i], ts_ldct[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('Global surface temperature (K)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl', fontsize=12)
+ax.xaxis.set_ticks([292, 294, 296, 298, 300, 302])
+ax.xaxis.set_ticklabels([292, 294, 296, 298, 300, 302], fontsize=10)
+ax.yaxis.set_ticks([292, 294, 296, 298, 300, 302])
+ax.yaxis.set_ticklabels([292, 294, 296, 298, 300, 302], fontsize=10)
+plt.xlim(290, 304), plt.ylim(290, 304)
+
+ax = plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([280, 310], [0, 0], 'k--')
+for i in modlist_ldct:
+ plt.text(ts_aqct[i], (ts_ldct-ts_aqct)[i], modelnumbers[i], fontweight='bold', color=modelcolors[i], fontsize=14)
+plt.title('Global surface temperature (K)', fontsize=14)
+plt.xlabel('AquaControl', fontsize=12)
+plt.ylabel('LandControl - AquaControl', fontsize=12)
+ax.xaxis.set_ticks([292, 294, 296, 298, 300, 302])
+ax.xaxis.set_ticklabels([292, 294, 296, 298, 300, 302], fontsize=10)
+ax.yaxis.set_ticks([-2, -1, 0, 1, 2])
+ax.yaxis.set_ticklabels([-2, -1, 0, 1, 2], fontsize=10)
+plt.xlim(290, 304), plt.ylim(-2, 2)
+
+
+plt.tight_layout
+plt.savefig('figs/ts_globaltimemean_AquaControl_LandControl.pdf')
+
+print(np.nanmedian((ts_ldct-ts_aqct)[modlist_ldct]))
+print((ts_ldct-ts_aqct)[modlist_ldct])
+
+plt.show()
diff --git a/ramadda/ts_landcontrol_versus_landorbit.py b/ramadda/ts_landcontrol_versus_landorbit.py
new file mode 100644
index 0000000000000000000000000000000000000000..4fcada53c8391c332987bc0b21799a426123d5d9
--- /dev/null
+++ b/ramadda/ts_landcontrol_versus_landorbit.py
@@ -0,0 +1,44 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS']
+
+# load global mean pr and ts data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_ldct = file['ts_ldct']
+ts_ldor = file['ts_ldor']
+
+nmod = ts_ldct[:, 0].size
+
+
+# plotting
+fig = plt.figure( figsize=(15, 10), dpi=80, facecolor='w', edgecolor='k' )
+
+for i in range(0, nmod):
+ ax = plt.subplot(3, 4, i+1)
+ ax.spines['right'].set_color('none')
+ ax.spines['top'].set_color('none')
+ ax.xaxis.set_ticks_position('bottom')
+ ax.yaxis.set_ticks_position('left')
+ plt.plot(lat, ts_ldct[i, :] - 273.15, 'b', linewidth=2)
+ plt.plot(lat, ts_ldor[i, :] - 273.15, 'g', linewidth=2)
+ plt.plot(lat, 10*(ts_ldor[i, :] - ts_ldct[i, :]), 'g--', linewidth=2)
+ plt.title(models[i])
+ plt.xlim(-80, 80), plt.ylim(-1, 35)
+ if i==10:
+ plt.text(120, 8, 'LandControl', color='blue' , fontsize=14, fontweight='bold')
+ plt.text(120, 0, 'LandOrbit' , color='green', fontsize=14, fontweight='bold')
+
+plt.tight_layout
+
+plt.savefig('figs/ts_landcontrol_versus_landorbit.pdf')
+
+plt.show()
diff --git a/ramadda/ts_latlontimemean.py b/ramadda/ts_latlontimemean.py
new file mode 100644
index 0000000000000000000000000000000000000000..782234e82efb8ac3bc9f92007f3919e013306a24
--- /dev/null
+++ b/ramadda/ts_latlontimemean.py
@@ -0,0 +1,39 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS', 'GISS']
+
+# load global mean pr and ts data
+file = np.load('ts_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+ts_aqct = file['ts_aqct']
+ts_ldct = file['ts_ldct']
+
+nmod = ts_aqct[:, 0, 0].size
+nlat = lat.size
+nlon = lon.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+plt.figure()
+for m in range(0, nmod):
+ plt.subplot(3, 4, m+1)
+ c = plt.contourf(lon, lat, (ts_ldct-ts_aqct)[m, :, :])
+ plt.colorbar(c)
+ plt.title(modelnames[m])
+
+print(ts_aqct[3, 10, :])
+
+plt.show()
diff --git a/ramadda/ts_modelmedian_allexperiments.py b/ramadda/ts_modelmedian_allexperiments.py
new file mode 100644
index 0000000000000000000000000000000000000000..8637d2bbbbe04d212ed8c1de79e3f22144e73b94
--- /dev/null
+++ b/ramadda/ts_modelmedian_allexperiments.py
@@ -0,0 +1,97 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from matplotlib.patches import Rectangle
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+
+def make_nice_plot(ax, title):
+ plt.xlim(-178, 178), plt.ylim(-0.98, 0.98)
+ ax.xaxis.set_ticks([-120, -60, 0, 60, 120])
+ ax.xaxis.set_ticklabels([''],fontsize=10)
+ ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.yaxis.set_ticklabels([''], fontsize=10)
+ plt.title(title, fontsize=14)
+
+# load data
+file = np.load('ts_latlontimemean.npz')
+lat = file['lat']
+lon = file['lon']
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+
+nmod = ts_aqct[:, 0, 0].size
+sinlat = np.sin(lat*np.pi/180)
+nlon = lon.size
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+# plotting
+plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')
+
+clev = np.array([275, 280, 285, 290, 295, 300, 305, 310])
+
+ax = plt.subplot(3, 2, 1)
+plt.contourf(lon, sinlat, np.nanmedian(ts_aqct[modlist_aqct], axis=0), clev, cmap=cm.YlOrRd, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+make_nice_plot(ax, 'AquaControl')#, plt.ylabel('hPa', fontsize=12)
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 3)
+c=plt.contourf(lon, sinlat, np.nanmedian(ts_aq4x[modlist_aq4x], axis=0), clev, cmap=cm.YlOrRd, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+make_nice_plot(ax, 'Aqua4xCO2')
+ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(0, -0.1, 'K', fontsize=10, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+plt.contourf(lon, sinlat, np.nanmedian(ts_ldct[modlist_ldct], axis=0), clev, cmap=cm.YlOrRd, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+make_nice_plot(ax, 'LandControl')
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 4)
+plt.contourf(lon, sinlat, np.nanmedian(ts_ld4x[modlist_ld4x], axis=0), clev, cmap=cm.YlOrRd, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+make_nice_plot(ax, 'Land4xCO2')
+from matplotlib.patches import Rectangle
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 6)
+plt.contourf(lon, sinlat, np.nanmedian(ts_ldor[modlist_ldor], axis=0), clev, cmap=cm.YlOrRd, extend='both')
+plt.plot([-200, 200], [0, 0], 'k--')
+make_nice_plot(ax, 'LandOrbit')
+from matplotlib.patches import Rectangle
+ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))
+ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)
+ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+plt.tight_layout
+
+plt.savefig('figs/ts_modelmedian_allexperiments.pdf')
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_Aqua4xCO2_minus_AquaControl.py b/ramadda/ts_pr_itcz_Aqua4xCO2_minus_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..55395bcb88dbdc0b55df8892589956c4c031e449
--- /dev/null
+++ b/ramadda/ts_pr_itcz_Aqua4xCO2_minus_AquaControl.py
@@ -0,0 +1,120 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_aqct_tm = file['ts_aqct']
+ts_aq4x_tm = file['ts_aq4x']
+file = np.load('pr_zonaltimemean.npz')
+pr_aqct_tm = file['pr_aqct']
+pr_aq4x_tm = file['pr_aq4x']
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_aq4x_mm = file['pr_aq4x']
+
+nmod = ts_aqct_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_aq4x_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+ itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_aq4x_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], lat, 30, 0.1)
+
+# plotting
+fig = plt.figure( figsize=(18, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 3, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, (ts_aq4x_tm-ts_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_aq4x_tm-ts_aqct_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(0, 16)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 4, 8, 12, 16])
+ax.yaxis.set_ticklabels([0, 4, 8, 12, 16], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(1, 3, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, (pr_aq4x_tm-pr_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_aq4x_tm-pr_aqct_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(-8, 8)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-8, -4, 0, 4, 8])
+ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(1, 3, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, (itcz_aq4x_mm-itcz_aqct_mm)[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_aq4x_mm-itcz_aqct_mm, axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-2, 16)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-2, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels([-2, 0, 5, 10, 15], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.98, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_Aqua4xCO2_minus_AquaControl.pdf')
+
+# itcz
+print(np.nanmedian(itcz_aq4x_tm-itcz_aqct_tm))
+print(np.nanmax(itcz_aq4x_tm-itcz_aqct_tm))
+print(np.nanmin(itcz_aq4x_tm-itcz_aqct_tm))
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_AquaControl.py b/ramadda/ts_pr_itcz_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..fa2e8df68e7fcfa89f64b7c82632748ca9ef45c9
--- /dev/null
+++ b/ramadda/ts_pr_itcz_AquaControl.py
@@ -0,0 +1,140 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load pr and ts data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_tm = file['ts_aqct']
+file = np.load('pr_zonaltimemean.npz')
+pr_tm = file['pr_aqct']
+file = np.load('pr_zonalmonthmean.npz')
+pr_mm = file['pr_aqct']
+
+nmod = ts_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_tm[i] = atm.get_itczposition(pr_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_mm[i, t] = atm.get_itczposition(pr_mm[i, t, :], lat, 30, 0.1)
+
+# plotting
+fig = plt.figure( figsize=(18, 4), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(1, 3, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, ts_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(270, 312)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([270, 280, 290, 300, 310])
+ax.yaxis.set_ticklabels([270, 280, 290, 300, 310], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(1, 3, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, pr_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(0, 18)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 6, 12, 18])
+ax.yaxis.set_ticklabels([0, 6, 12, 18], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(1, 3, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, itcz_mm[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_mm, axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5N', '10N', '15N'], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.98, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_AquaControl.pdf')
+
+# itcz
+print(np.nanmedian(itcz_tm))
+print(np.nanmax(itcz_tm))
+print(np.nanmin(itcz_tm))
+
+# hemispheric temperature difference
+ts_hdiff = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ ts_hdiff[m] = atm.get_hemispheric_diff(ts_tm[m, :], lat)
+print(ts_hdiff)
+print(np.nanmedian(ts_hdiff))
+print(np.nanmax(ts_hdiff))
+print(np.nanmin(ts_hdiff))
+
+# nh-sh at each latitude
+ts_asym = np.zeros((nmod, nlat)) + np.nan
+for m in range(0, nmod):
+ _, ts_asym[m, :] = atm.get_sym_and_asym_component(ts_tm[m, :], lat)
+plt.figure()
+for m in range(0, nmod):
+ plt.plot(sinlat, ts_asym[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_asym, axis=0), 'k', linewidth=3)
+plt.plot([-1, 1], [0, 0], 'k--')
+
+# seasonal precip evolution
+plt.figure()
+for m in range(0, nmod):
+ plt.subplot(4, 3, m+1)
+ plt.contourf(lat, month, pr_mm[m, :, :])
+ plt.title(modelnames[m])
+ plt.xlim(-30, 30)
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_ua850_Aqua4xCO2.py b/ramadda/ts_pr_itcz_ua850_Aqua4xCO2.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ecff484007329a1c3917a56dc56d07791d2f48b
--- /dev/null
+++ b/ramadda/ts_pr_itcz_ua850_Aqua4xCO2.py
@@ -0,0 +1,142 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load pr and ts data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_tm = file['ts_aqct']
+file = np.load('pr_zonaltimemean.npz')
+pr_tm = file['pr_aq4x']
+file = np.load('pr_zonalmonthmean.npz')
+pr_mm = file['pr_aq4x']
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+ua = file['ua_aq4x']
+
+nmod = ts_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_tm = np.zeros(nmod)
+for i in modlist_aq4x:
+ itcz_tm[i] = atm.get_itczposition(pr_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_mm = np.zeros((nmod, 12)) + np.nan
+for i in modlist_aq4x:
+ for t in range(0, nmonth):
+ itcz_mm[i, t] = atm.get_itczposition(pr_mm[i, t, :], lat, 30, 0.1)
+
+# caltech seasonal cycle shifted by 3 months
+tmp = np.copy(itcz_mm[14,:])
+itcz_mm[14,3:12] = tmp[0:9]
+itcz_mm[14,0:3 ] = tmp[9:12]
+
+# plotting
+fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aq4x:
+ plt.plot(sinlat, ts_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_tm[modlist_aq4x], axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(270, 312)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([270, 280, 290, 300, 310])
+ax.yaxis.set_ticklabels([270, 280, 290, 300, 310], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.95, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aq4x:
+ plt.plot(sinlat, pr_tm[m, :], color=modelcolors[m])
+ plt.plot(np.sin(itcz_tm[m]*np.pi/180.0), 1, '|', mew=1, ms=15, color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_tm[modlist_aq4x,:], axis=0), 'k', linewidth=3)
+plt.plot(np.sin(np.nanmedian(itcz_tm[modlist_aq4x])*np.pi/180.0), 1, '|', mew=2, ms=15, color='k')
+plt.xlim(-0.98, 0.98), plt.ylim(0, 18)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 6, 12, 18])
+ax.yaxis.set_ticklabels([0, 6, 12, 18], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.95, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in modlist_aq4x:
+ plt.plot(month, itcz_mm[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_mm[modlist_aq4x, :], axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5N', '10N', '15N'], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.95, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-10, 10], [0, 0], 'k--')
+# lev=14 is 850 hPa
+for m in modlist_aq4x:
+ plt.plot(sinlat, ua[m, 14, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ua[modlist_aq4x, 14, :], axis=0), 'k', linewidth=3)
+
+plt.xlim(-0.98, 0.98), plt.ylim(-10, 15)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels([-10, -5, 0, 5, 10, 15], fontsize=10)
+plt.title('Zonal wind at 850 hPa', fontsize=14)
+plt.ylabel('m/s', fontsize=12)
+plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_ua850_Aqua4xCO2.pdf')
+
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_ua850_Aqua4xCO2_minus_AquaControl.py b/ramadda/ts_pr_itcz_ua850_Aqua4xCO2_minus_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..e741673bf68ffb4d3adf21afb93ffcb1fd30cd1b
--- /dev/null
+++ b/ramadda/ts_pr_itcz_ua850_Aqua4xCO2_minus_AquaControl.py
@@ -0,0 +1,196 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_aqct_tm = file['ts_aqct']
+ts_aq4x_tm = file['ts_aq4x']
+file = np.load('pr_zonaltimemean.npz')
+pr_aqct_tm = file['pr_aqct']
+pr_aq4x_tm = file['pr_aq4x']
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_aq4x_mm = file['pr_aq4x']
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+ua_aqct = file['ua_aqct']
+ua_aq4x = file['ua_aq4x']
+
+nmod = ts_aqct_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_aq4x_tm = np.zeros(nmod)
+for i in modlist_aqct:
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+for i in modlist_aq4x:
+ itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_aq4x_mm = np.zeros((nmod, 12))
+for i in modlist_aq4x:
+ for t in range(0, nmonth):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], lat, 30, 0.1)
+
+# caltech seasonal cycle shifted by 3 months
+tmp = np.copy(itcz_aqct_mm[14,:])
+itcz_aqct_mm[14,3:12] = tmp[0:9]
+itcz_aqct_mm[14,0:3 ] = tmp[9:12]
+tmp = np.copy(itcz_aq4x_mm[14,:])
+itcz_aq4x_mm[14,3:12] = tmp[0:9]
+itcz_aq4x_mm[14,0:3 ] = tmp[9:12]
+
+# plotting
+fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(2, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aq4x:
+ plt.plot(sinlat, (ts_aq4x_tm-ts_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian((ts_aq4x_tm-ts_aqct_tm)[modlist_aq4x], axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(0, 16)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 4, 8, 12, 16])
+ax.yaxis.set_ticklabels([0, 4, 8, 12, 16], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.95, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aq4x:
+ plt.plot(sinlat, (pr_aq4x_tm-pr_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian((pr_aq4x_tm-pr_aqct_tm)[modlist_aq4x], axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(-8, 8)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-8, -4, 0, 4, 8])
+ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.95, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in modlist_aq4x:
+ plt.plot(month, (itcz_aq4x_mm-itcz_aqct_mm)[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian((itcz_aq4x_mm-itcz_aqct_mm)[modlist_aq4x], axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-2, 16)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-2, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels([-2, 0, 5, 10, 15], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.92, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(2, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-10, 10], [0, 0], 'k--')
+# lev=14 is 850 hPa
+for m in modlist_aq4x:
+ plt.plot(sinlat, (ua_aq4x-ua_aqct)[m, 14, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian((ua_aq4x-ua_aqct)[modlist_aq4x, 14, :], axis=0), 'k', linewidth=3)
+
+plt.xlim(-0.98, 0.98), plt.ylim(-8, 9)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-8, -4, 0, 4, 8])
+ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10)
+plt.title('Zonal wind at 850 hPa', fontsize=14)
+plt.ylabel('m/s', fontsize=12)
+plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_ua850_Aqua4xCO2_minus_AquaControl.pdf')
+
+
+plt.figure()
+plt.plot(lat, pr_aqct_tm[10, :])
+
+# itcz
+print(np.nanmedian((itcz_aq4x_tm-itcz_aqct_tm)[modlist_aq4x]))
+print(np.nanmax((itcz_aq4x_tm-itcz_aqct_tm)[modlist_aq4x]))
+print(np.nanmin((itcz_aq4x_tm-itcz_aqct_tm)[modlist_aq4x]))
+
+# annual-mean jet position
+# 850 hPa is lev = 14
+jetlat_nh_aqct = np.zeros(nmod) + np.nan
+jetlat_sh_aqct = np.zeros(nmod) + np.nan
+jetlat_nh_aq4x = np.zeros(nmod) + np.nan
+jetlat_sh_aq4x = np.zeros(nmod) + np.nan
+for m in modlist_aq4x:
+ jetlat_nh_aqct[m], jetlat_sh_aqct[m] = atm.get_eddyjetlat(ua_aqct[m, 14, :], lat)
+ jetlat_nh_aq4x[m], jetlat_sh_aq4x[m] = atm.get_eddyjetlat(ua_aq4x[m, 14, :], lat)
+print(np.nanmax((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x]),
+ np.nanmin((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x]),
+ np.nanmedian((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x]))
+print(np.nanmax((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x]),
+ np.nanmin((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x]),
+ np.nanmedian((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x]))
+
+# all models but caltech
+# remove caltech index
+index=np.where(np.array(modlist_aq4x)==14); modlist_aq4x_nocaltech=np.delete(modlist_aq4x, index)
+print(index, modlist_aq4x_nocaltech)
+print('All models but caltech')
+print(np.nanmax((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x_nocaltech]),
+ np.nanmin((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x_nocaltech]),
+ np.nanmedian((jetlat_nh_aq4x-jetlat_nh_aqct)[modlist_aq4x_nocaltech]))
+print(np.nanmax((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x_nocaltech]),
+ np.nanmin((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x_nocaltech]),
+ np.nanmedian((jetlat_sh_aq4x-jetlat_sh_aqct)[modlist_aq4x_nocaltech]))
+
+# caltech only
+print('Caltech only')
+print((jetlat_nh_aq4x-jetlat_nh_aqct)[14],(jetlat_sh_aq4x-jetlat_sh_aqct)[14])
+
+
+
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_ua850_AquaControl.py b/ramadda/ts_pr_itcz_ua850_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d4a320df490c26f88e68b7e6f0236611eab2d56
--- /dev/null
+++ b/ramadda/ts_pr_itcz_ua850_AquaControl.py
@@ -0,0 +1,209 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load pr and ts data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_tm = file['ts_aqct']
+file = np.load('pr_zonaltimemean.npz')
+pr_tm = file['pr_aqct']
+file = np.load('pr_zonalmonthmean.npz')
+pr_mm = file['pr_aqct']
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+ua = file['ua_aqct']
+
+nmod = ts_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_tm = np.zeros(nmod)
+for i in modlist_aqct:
+ itcz_tm[i] = atm.get_itczposition(pr_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_mm = np.zeros((nmod, 12)) + np.nan
+for i in modlist_aqct:
+ for t in range(0, nmonth):
+ itcz_mm[i, t] = atm.get_itczposition(pr_mm[i, t, :], lat, 30, 0.1)
+
+# caltech seasonal cycle shifted by 3 months
+tmp = np.copy(itcz_mm[14,:])
+itcz_mm[14,3:12] = tmp[0:9]
+itcz_mm[14,0:3 ] = tmp[9:12]
+
+# plotting
+fig = plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(3, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aqct:
+ plt.plot(sinlat, ts_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_tm[modlist_aqct], axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(270, 312)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([270, 280, 290, 300, 310])
+ax.yaxis.set_ticklabels([270, 280, 290, 300, 310], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.95, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in modlist_aqct:
+ plt.plot(sinlat, pr_tm[m, :], color=modelcolors[m])
+ plt.plot(np.sin(itcz_tm[m]*np.pi/180.0), 1, '|', mew=1, ms=15, color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_tm[modlist_aqct,:], axis=0), 'k', linewidth=3)
+plt.plot(np.sin(np.nanmedian(itcz_tm[modlist_aqct])*np.pi/180.0), 1, '|', mew=2, ms=15, color='k')
+plt.xlim(-0.98, 0.98), plt.ylim(0, 18)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 6, 12, 18])
+ax.yaxis.set_ticklabels([0, 6, 12, 18], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.95, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in modlist_aqct:
+ plt.plot(month, itcz_mm[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_mm[modlist_aqct, :], axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5N', '10N', '15N'], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.95, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 4)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-10, 10], [0, 0], 'k--')
+# lev=14 is 850 hPa
+for m in modlist_aqct:
+ plt.plot(sinlat, ua[m, 14, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ua[modlist_aqct, 14, :], axis=0), 'k', linewidth=3)
+
+plt.xlim(-0.98, 0.98), plt.ylim(-10, 15)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels([-10, -5, 0, 5, 10, 15], fontsize=10)
+plt.title('Zonal wind at 850 hPa', fontsize=14)
+plt.ylabel('m/s', fontsize=12)
+plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 5)
+plt.xlim(0, 1), plt.ylim(0, 1)
+plt.axis('off')
+ystart=1.0
+delta=0.1
+for m in modlist_aqct:
+ if np.int(modelnumbers[m])<4:
+# plt.text(0.1, ystart-delta*np.float(modelnumbers[m]), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.15, ystart-delta*np.float(modelnumbers[m]), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<7:
+# plt.text(0.5, ystart-delta*(np.float(modelnumbers[m])-3), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.55, ystart-delta*(np.float(modelnumbers[m])-3), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<10:
+# plt.text(0.9, ystart-delta*(np.float(modelnumbers[m])-6), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(0.95, ystart-delta*(np.float(modelnumbers[m])-6), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<13:
+# plt.text(1.3, ystart-delta*(np.float(modelnumbers[m])-9), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.35, ystart-delta*(np.float(modelnumbers[m])-9), modelnames[m], color=modelcolors[m], fontsize=14)
+ elif np.int(modelnumbers[m])<15:
+# plt.text(1.7, ystart-delta*(np.float(modelnumbers[m])-12), modelnumbers[m], color=modelcolors[m], fontsize=14)
+ plt.text(1.75, ystart-delta*(np.float(modelnumbers[m])-12), modelnames[m], color=modelcolors[m], fontsize=14)
+plt.text(1.75, ystart-delta*3, 'Model median', color='k', fontweight='bold', fontsize=14)
+
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_ua850_AquaControl.pdf')
+
+# itcz
+print('Time-mean ITCZ locations')
+print(np.nanmedian(itcz_tm[modlist_aqct]))
+print(np.nanmax(itcz_tm[modlist_aqct]))
+print(np.nanmin(itcz_tm[modlist_aqct]))
+
+# hemispheric temperature difference
+ts_hdiff = np.zeros(nmod) + np.nan
+for m in modlist_aqct:
+ ts_hdiff[m] = atm.get_hemispheric_diff(ts_tm[m, :], lat)
+print('Hemispheric temperature differences')
+print(ts_hdiff)
+print(np.nanmedian(ts_hdiff))
+print(np.nanmax(ts_hdiff))
+print(np.nanmin(ts_hdiff))
+
+# nh-sh at each latitude
+ts_asym = np.zeros((nmod, nlat)) + np.nan
+for m in modlist_aqct:
+ _, ts_asym[m, :] = atm.get_sym_and_asym_component(ts_tm[m, :], lat)
+plt.figure()
+for m in modlist_aqct:
+ plt.plot(sinlat, ts_asym[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_asym, axis=0), 'k', linewidth=3)
+plt.plot([-1, 1], [0, 0], 'k--')
+
+# seasonal precip evolution
+plt.figure()
+for m in modlist_aqct:
+ plt.subplot(4, 4, m+1)
+ plt.contourf(lat, month, pr_mm[m, :, :])
+ plt.title(modelnames[m])
+ plt.xlim(-30, 30)
+
+# annual-mean jet position
+# 850 hPa is lev = 14
+jetlat_nh = np.zeros(nmod) + np.nan
+jetlat_sh= np.zeros(nmod) + np.nan
+for m in modlist_aqct:
+ jetlat_nh[m], jetlat_sh[m] = atm.get_eddyjetlat(ua[m, 14, :], lat)
+print('Jet positions')
+print(np.nanmax(jetlat_nh), np.nanmin(jetlat_nh), np.nanmedian(jetlat_nh))
+print(np.nanmax(jetlat_sh), np.nanmin(jetlat_sh), np.nanmedian(jetlat_sh))
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_ua_msf_Aqua4xCO2_minus_AquaControl.py b/ramadda/ts_pr_itcz_ua_msf_Aqua4xCO2_minus_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..5c4ce6dba6064c43938474bd30953d7be8ac8193
--- /dev/null
+++ b/ramadda/ts_pr_itcz_ua_msf_Aqua4xCO2_minus_AquaControl.py
@@ -0,0 +1,178 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_aqct_tm = file['ts_aqct']
+ts_aq4x_tm = file['ts_aq4x']
+file = np.load('pr_zonaltimemean.npz')
+pr_aqct_tm = file['pr_aqct']
+pr_aq4x_tm = file['pr_aq4x']
+file = np.load('pr_zonalmonthmean.npz')
+pr_aqct_mm = file['pr_aqct']
+pr_aq4x_mm = file['pr_aq4x']
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+ua_aqct = file['ua_aqct']
+ua_aq4x = file['ua_aq4x']
+file = np.load('va_zonaltimemean_plevels.npz')
+va_aqct = file['va_aqct']
+va_aq4x = file['va_aq4x']
+
+nmod = ts_aqct_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_aqct_tm = np.zeros(nmod)
+itcz_aq4x_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], lat, 30, 0.1)
+ itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_aqct_mm = np.zeros((nmod, 12))
+itcz_aq4x_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], lat, 30, 0.1)
+ itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], lat, 30, 0.1)
+
+# mass stream function
+msf_aqct = np.zeros(va_aqct.shape) + np.nan
+msf_aq4x = np.zeros(va_aqct.shape) + np.nan
+for m in range(0, nmod):
+ msf_aqct[m, :, :] = atm.get_massstreamfunction(va_aqct[m, :, :], lev, lat)
+ msf_aq4x[m, :, :] = atm.get_massstreamfunction(va_aq4x[m, :, :], lev, lat)
+
+# plotting
+fig = plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(3, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, (ts_aq4x_tm-ts_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_aq4x_tm-ts_aqct_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(0, 16)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 4, 8, 12, 16])
+ax.yaxis.set_ticklabels([0, 4, 8, 12, 16], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.92, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, (pr_aq4x_tm-pr_aqct_tm)[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_aq4x_tm-pr_aqct_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(-8, 8)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([-8, -4, 0, 4, 8])
+ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.92, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, (itcz_aq4x_mm-itcz_aqct_mm)[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_aq4x_mm-itcz_aqct_mm, axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-2, 16)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-2, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels([-2, 0, 5, 10, 15], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.92, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 4)
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+cu = np.array([-8, -7, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 7, 8])
+cmsf = np.array([-55, -45, -35, -25, -15, -5, 5, 15, 25, 35, 45, 55])
+c=plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_aq4x-ua_aqct, axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_aq4x-msf_aqct, axis=0), cmsf, colors='k')
+plt.xlim(-0.98, 0.98), plt.ylim(1000, 10)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([10, 200, 600, 1000])
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+plt.title('Zonal wind and mass stream function', fontsize=14)
+plt.ylabel('hPa', fontsize=12)
+plt.text(0.02, 0.938, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 6)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-8, -6, -4, -2, 0, 2, 4, 6, 8],
+ orientation='vertical', fraction=0.09)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, 0, 'm/s', fontsize=10, ha='left', va='center', transform=ax.transAxes)
+
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_ua_msf_Aqua4xCO2_minus_AquaControl.pdf')
+
+# itcz
+print(np.nanmedian(itcz_aq4x_tm-itcz_aqct_tm))
+print(np.nanmax(itcz_aq4x_tm-itcz_aqct_tm))
+print(np.nanmin(itcz_aq4x_tm-itcz_aqct_tm))
+
+# Hadley cell strength
+# annual-mean Hadley cell strength
+hc_nh = np.max(np.max((msf_aq4x-msf_aqct)[:, 2:15, :], axis=2), axis=1)
+hc_sh = np.min(np.min((msf_aq4x-msf_aqct)[:, 2:15, :], axis=2), axis=1)
+print(np.nanmax(hc_nh), np.nanmin(hc_nh), np.nanmedian(hc_nh))
+print(np.nanmax(hc_sh), np.nanmin(hc_sh), np.nanmedian(hc_sh))
+
+# annual-mean jet position
+# 850 hPa is lev = 14
+jetlat_nh_aqct = np.zeros(nmod) + np.nan
+jetlat_sh_aqct = np.zeros(nmod) + np.nan
+jetlat_nh_aq4x = np.zeros(nmod) + np.nan
+jetlat_sh_aq4x = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ jetlat_nh_aqct[m], jetlat_sh_aqct[m] = atm.get_eddyjetlat(ua_aqct[m, 14, :], lat)
+ jetlat_nh_aq4x[m], jetlat_sh_aq4x[m] = atm.get_eddyjetlat(ua_aq4x[m, 14, :], lat)
+print(np.nanmax(jetlat_nh_aq4x-jetlat_nh_aqct), np.nanmin(jetlat_nh_aq4x-jetlat_nh_aqct), np.nanmedian(jetlat_nh_aq4x-jetlat_nh_aqct))
+print(np.nanmax(jetlat_sh_aq4x-jetlat_sh_aqct), np.nanmin(jetlat_sh_aq4x-jetlat_sh_aqct), np.nanmedian(jetlat_sh_aq4x-jetlat_sh_aqct))
+
+plt.show()
diff --git a/ramadda/ts_pr_itcz_ua_msf_AquaControl.py b/ramadda/ts_pr_itcz_ua_msf_AquaControl.py
new file mode 100644
index 0000000000000000000000000000000000000000..17c5974b75dd90d4109becf5a92579d865285d6b
--- /dev/null
+++ b/ramadda/ts_pr_itcz_ua_msf_AquaControl.py
@@ -0,0 +1,192 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+import tracmipmodels as tracmipmodels
+
+# load pr and ts data
+file = np.load('ts_zonaltimemean.npz')
+lat = file['lat']
+ts_tm = file['ts_aqct']
+file = np.load('pr_zonaltimemean.npz')
+pr_tm = file['pr_aqct']
+file = np.load('pr_zonalmonthmean.npz')
+pr_mm = file['pr_aqct']
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+ua = file['ua_aqct']
+file = np.load('va_zonaltimemean_plevels.npz')
+va = file['va_aqct']
+
+nmod = ts_tm[:, 0].size
+month = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
+nmonth = month.size
+nlat = lat.size
+
+sinlat = np.sin(lat*np.pi/180)
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# analysis
+# calculate time-mean ITCZ position
+itcz_tm = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_tm[i] = atm.get_itczposition(pr_tm[i, :], lat, 30, 0.1)
+
+# calculate monthly-mean ITCZ position
+itcz_mm = np.zeros((nmod, 12))
+for i in range(0, nmod):
+ for t in range(0, nmonth):
+ itcz_mm[i, t] = atm.get_itczposition(pr_mm[i, t, :], lat, 30, 0.1)
+
+# mass stream function
+msf = np.zeros(va.shape) + np.nan
+for m in range(0, nmod):
+ msf[m, :, :] = atm.get_massstreamfunction(va[m, :, :], lev, lat)
+
+# plotting
+fig = plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )
+
+ax = plt.subplot(3, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, ts_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(270, 312)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([270, 280, 290, 300, 310])
+ax.yaxis.set_ticklabels([270, 280, 290, 300, 310], fontsize=10)
+plt.title('Surface temperature', fontsize=14)
+plt.ylabel('K', fontsize=12)
+plt.text(0.02, 0.92, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+for m in range(0, nmod):
+ plt.plot(sinlat, pr_tm[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(pr_tm, axis=0), 'k', linewidth=3)
+plt.xlim(-0.98, 0.98), plt.ylim(0, 18)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([0, 6, 12, 18])
+ax.yaxis.set_ticklabels([0, 6, 12, 18], fontsize=10)
+plt.title('Precipitation', fontsize=14)
+plt.ylabel('mm/day', fontsize=12)
+plt.text(0.02, 0.92, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 3)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+plt.plot([-20, 20], [0, 0], 'k--')
+for m in range(0, nmod):
+ plt.plot(month, itcz_mm[m, :], color=modelcolors[m])
+plt.plot(month, np.nanmedian(itcz_mm, axis=0), 'k', linewidth=3)
+plt.xlim(1, 12), plt.ylim(-15, 15)
+ax.xaxis.set_ticks(month)
+ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)
+ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])
+ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5N', '10N', '15N'], fontsize=10)
+plt.title('ITCZ position', fontsize=14)
+plt.xlabel('month', fontsize=12)
+plt.ylabel('deg lat', fontsize=12)
+plt.text(0.02, 0.92, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 4)
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+
+cu = np.array([-55, -45, -35, -25, -15, -5,\
+ 5, 15, 25, 35, 45, 55])
+cmsf = np.array([-170, -150, -130, -110, -90, -70, -50, -30, -10, 10, 30, 50, 70, 90, 110, 130, 150, 170])
+c=plt.contourf(sinlat, lev/1e2, np.nanmedian(ua, axis=0), cu, cmap=cm.RdBu_r, extend='max')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf, axis=0), cmsf, colors='k')
+plt.xlim(-0.98, 0.98), plt.ylim(1000, 10)
+ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+ax.yaxis.set_ticks([10, 200, 600, 1000])
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+plt.title('Zonal wind and mass stream function', fontsize=14)
+plt.ylabel('hPa', fontsize=12)
+plt.text(0.02, 0.938, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 6)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50],
+ orientation='vertical', fraction=0.09)
+cbar.ax.tick_params(labelsize=10)
+plt.text(1, 0, 'm/s', fontsize=10, ha='left', va='center', transform=ax.transAxes)
+
+
+plt.tight_layout
+plt.savefig('figs/ts_pr_itcz_ua_msf_AquaControl.pdf')
+
+# itcz
+print(np.nanmedian(itcz_tm))
+print(np.nanmax(itcz_tm))
+print(np.nanmin(itcz_tm))
+
+# hemispheric temperature difference
+ts_hdiff = np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ ts_hdiff[m] = atm.get_hemispheric_diff(ts_tm[m, :], lat)
+print(ts_hdiff)
+print(np.nanmedian(ts_hdiff))
+print(np.nanmax(ts_hdiff))
+print(np.nanmin(ts_hdiff))
+
+# nh-sh at each latitude
+ts_asym = np.zeros((nmod, nlat)) + np.nan
+for m in range(0, nmod):
+ _, ts_asym[m, :] = atm.get_sym_and_asym_component(ts_tm[m, :], lat)
+plt.figure()
+for m in range(0, nmod):
+ plt.plot(sinlat, ts_asym[m, :], color=modelcolors[m])
+plt.plot(sinlat, np.nanmedian(ts_asym, axis=0), 'k', linewidth=3)
+plt.plot([-1, 1], [0, 0], 'k--')
+
+# seasonal precip evolution
+plt.figure()
+for m in range(0, nmod):
+ plt.subplot(4, 3, m+1)
+ plt.contourf(lat, month, pr_mm[m, :, :])
+ plt.title(modelnames[m])
+ plt.xlim(-30, 30)
+
+# Hadley cell strength
+ # annual-mean Hadley cell strength
+hc_nh = np.max(np.max(msf[:, 2:15, :], axis=2), axis=1)
+hc_sh = np.min(np.min(msf[:, 2:15, :], axis=2), axis=1)
+print(np.nanmax(hc_nh), np.nanmin(hc_nh), np.nanmedian(hc_nh))
+print(np.nanmax(hc_sh), np.nanmin(hc_sh), np.nanmedian(hc_sh))
+
+# annual-mean jet position
+# 850 hPa is lev = 14
+jetlat_nh = np.zeros(nmod) + np.nan
+jetlat_sh= np.zeros(nmod) + np.nan
+for m in range(0, nmod):
+ jetlat_nh[m], jetlat_sh[m] = atm.get_eddyjetlat(ua[m, 14, :], lat)
+print(np.nanmax(jetlat_nh), np.nanmin(jetlat_nh), np.nanmedian(jetlat_nh))
+print(np.nanmax(jetlat_sh), np.nanmin(jetlat_sh), np.nanmedian(jetlat_sh))
+
+plt.show()
diff --git a/ramadda/tsglobal_itcz_timemean_fortableintracmippaper.py b/ramadda/tsglobal_itcz_timemean_fortableintracmippaper.py
new file mode 100644
index 0000000000000000000000000000000000000000..697014ae20f25acbe1d0f42c6a26ad1884aa8594
--- /dev/null
+++ b/ramadda/tsglobal_itcz_timemean_fortableintracmippaper.py
@@ -0,0 +1,72 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+# loading data
+print('Load global time mean ts')
+file = np.load('ts_globaltimemean.npz')
+ts_aqct = file['ts_aqct']
+ts_aq4x = file['ts_aq4x']
+ts_ldct = file['ts_ldct']
+ts_ld4x = file['ts_ld4x']
+ts_ldor = file['ts_ldor']
+
+print('Load zonal mean time mean pr')
+file = np.load('pr_zonaltimemean.npz')
+pr_aqct = file['pr_aqct']
+pr_aq4x = file['pr_aq4x']
+pr_ldct = file['pr_ldct']
+pr_ld4x = file['pr_ld4x']
+pr_ldor = file['pr_ldor']
+lat = file['lat']
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+nmod = ts_aqct.size
+
+# get model colors, names and numbers
+modelcolors = tracmipmodels.get_modelcolors(nmod)
+modelnames = tracmipmodels.get_modelnames()
+modelnumbers = tracmipmodels.get_modelnumbers()
+
+# calculate itcz
+# calculate time-mean ITCZ position
+itcz_aqct = np.zeros(nmod)
+itcz_aq4x = np.zeros(nmod)
+itcz_ldct = np.zeros(nmod)
+itcz_ld4x = np.zeros(nmod)
+itcz_ldor = np.zeros(nmod)
+for i in range(0, nmod):
+ itcz_aqct[i] = atm.get_itczposition(pr_aqct[i, :], lat, 30, 0.1)
+ itcz_aq4x[i] = atm.get_itczposition(pr_aq4x[i, :], lat, 30, 0.1)
+ itcz_ldct[i] = atm.get_itczposition(pr_ldct[i, :], lat, 30, 0.1)
+ itcz_ld4x[i] = atm.get_itczposition(pr_ld4x[i, :], lat, 30, 0.1)
+ itcz_ldor[i] = atm.get_itczposition(pr_ldor[i, :], lat, 30, 0.1)
+
+# print to screen
+c=0
+for i in [7, 8, 9, 12, 13, 1, 2, 11, 3, 4, 5, 6, 10, 14]:
+ c=c+1
+ print(c, '&', modelnames[i], '&', np.round(ts_aqct[i], decimals=1), '/', np.round(itcz_aqct[i], decimals=1), '\degree{} &', \
+ np.round(ts_ldct[i], decimals=1), '/', np.round(itcz_ldct[i], decimals=1), '\degree{} &', \
+ np.round(ts_aq4x[i]-ts_aqct[i], decimals=1), '/', np.round(itcz_aq4x[i]-itcz_aqct[i], decimals=1), '\degree{} &', \
+ np.round(ts_ld4x[i]-ts_ldct[i], decimals=1), '/', np.round(itcz_ld4x[i]-itcz_ldct[i], decimals=1), '\degree{} &', \
+ np.round(ts_ldor[i]-ts_ldct[i], decimals=1), '/', np.round(itcz_ldor[i]-itcz_ldct[i], decimals=1), '\degree{} \\')
+print(' ', '&', 'Model median', np.round(np.nanmedian(ts_aqct[modlist_aqct]), decimals=1), '/', np.round(np.nanmedian(itcz_aqct[modlist_aqct]), decimals=1), '\degree{} &', \
+ np.round(np.nanmedian(ts_ldct[modlist_ldct]), decimals=1), '/', np.round(np.nanmedian(itcz_ldct[modlist_ldct]), decimals=1), '\degree{} &', \
+ np.round(np.nanmedian((ts_aq4x-ts_aqct)[modlist_aq4x]), decimals=1), '/', np.round(np.nanmedian((itcz_aq4x-itcz_aqct)[modlist_aq4x]), decimals=1), '\degree{} &', \
+ np.round(np.nanmedian((ts_ld4x-ts_ldct)[modlist_ld4x]), decimals=1), '/', np.round(np.nanmedian((itcz_ld4x-itcz_ldct)[modlist_ld4x]), decimals=1), '\degree{} &', \
+ np.round(np.nanmedian((ts_ldor-ts_ldct)[modlist_ldor]), decimals=1), '/', np.round(np.nanmedian((itcz_ldor-itcz_ldct)[modlist_ldor]), decimals=1), '\degree{} \\')
+
diff --git a/ramadda/ua_aquacontrol_zonaltimemean_plevels.py b/ramadda/ua_aquacontrol_zonaltimemean_plevels.py
new file mode 100644
index 0000000000000000000000000000000000000000..d110112b8bd9cd92fce9484698d3a4e3a49d0df4
--- /dev/null
+++ b/ramadda/ua_aquacontrol_zonaltimemean_plevels.py
@@ -0,0 +1,112 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+
+def make_nice_plot(ax, title):
+ plt.xlim(-85, 85)
+ plt.ylim(1000, 10)
+ ax.xaxis.set_ticks([-60, -30, 0, 30, 60])
+ ax.xaxis.set_ticklabels([''],fontsize=10)
+ ax.yaxis.set_ticks([10, 200, 600, 1000])
+ ax.yaxis.set_ticklabels([''],fontsize=10)
+ plt.title(title, fontsize=14)
+
+models=['CNRM', 'ECHAM61', 'ECHAM63', 'IPSL', 'MetCTL', 'MetENT', \
+ 'MIROC5', 'AM2', 'CAM3', 'CAM4', 'MPAS', 'GISS']
+
+# load zonal and meridional wind data
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+lat = file['lat']
+ua_aqct = file['ua_aqct']
+ua_aq4x = file['ua_aq4x']
+ua_ldct = file['ua_ldct']
+ua_ld4x = file['ua_ld4x']
+ua_ldor = file['ua_ldor']
+
+file = np.load('va_zonaltimemean_plevels.npz')
+va_aqct = file['va_aqct']
+va_aq4x = file['va_aq4x']
+va_ldct = file['va_ldct']
+va_ld4x = file['va_ld4x']
+va_ldor = file['va_ldor']
+
+nmod = ua_aqct[:, 0, 0].size
+
+# mass stream function
+msf_aqct = np.zeros(va_aqct.shape) + np.nan
+msf_aq4x = np.zeros(va_aqct.shape) + np.nan
+msf_ldct = np.zeros(va_aqct.shape) + np.nan
+msf_ld4x = np.zeros(va_aqct.shape) + np.nan
+msf_ldor = np.zeros(va_aqct.shape) + np.nan
+
+for m in range(0, nmod):
+ msf_aqct[m, :, :] = atm.get_massstreamfunction(va_aqct[m, :, :], lev, lat)
+ msf_aq4x[m, :, :] = atm.get_massstreamfunction(va_aq4x[m, :, :], lev, lat)
+ msf_ldct[m, :, :] = atm.get_massstreamfunction(va_ldct[m, :, :], lev, lat)
+ msf_ld4x[m, :, :] = atm.get_massstreamfunction(va_ld4x[m, :, :], lev, lat)
+ msf_ldor[m, :, :] = atm.get_massstreamfunction(va_ldor[m, :, :], lev, lat)
+
+# ploting
+for m in range(0, nmod):
+ plt.subplot(4, 3, m+1)
+ plt.contourf(lat, lev, ua_aqct[m, :, :], np.linspace(-100, 100, 100))
+ plt.title(models[m])
+
+plt.figure( figsize=(10, 6), dpi=80, facecolor='w', edgecolor='k')
+
+#cu = np.array([-55, -45, -35, -25, -15, -5, 5, 15, 25, 35, 45, 55])
+#cu = np.array([-70, -65, -60, -55, -50, -45, -40, -35, -30, -25, -20, -15, -10, -5, 0,\
+# 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70])
+cu = np.array([-70, -65, -60, -55, -50, -45, -40, -35, -30, -25, -20, -15, -10, -5,\
+ 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70])
+cmsf = np.array([-130, -110, -90, -70, -50, -30, -10, 10, 30, 50, 70, 90, 110, 130])
+
+ax = plt.subplot(3, 2, 1)
+plt.contourf(lat, lev/1e2, np.nanmedian(ua_aqct, axis=0), cu, cmap=cm.RdBu_r)
+plt.contour(lat, lev/1e2, np.nanmedian(msf_aqct, axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'AquaControl'), plt.ylabel('pressure (hPa)', fontsize=10)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+
+ax = plt.subplot(3, 2, 3)
+c=plt.contourf(lat, lev/1e2, np.nanmedian(ua_aq4x, axis=0), cu, cmap=cm.RdBu_r)
+plt.contour(lat, lev/1e2, np.nanmedian(msf_aq4x, axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'Aqua4xCO2'), plt.ylabel('pressure (hPa)', fontsize=10)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+ax.xaxis.set_ticklabels([r'60$^\mathrm{o}$S', r'30$^\mathrm{o}$S', \
+ 'Eq', r'30$^\mathrm{o}$',r'60$^\mathrm{o}$'], fontsize=10)
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-70, -55, -40, -25, -10, 10, 25, 40, 55, 70],
+ orientation='horizontal', fraction=0.09)
+cbar.ax.tick_params(labelsize=10)
+
+ax = plt.subplot(3, 2, 2)
+plt.contourf(lat, lev/1e2, np.nanmedian(ua_ldct, axis=0), cu, cmap=cm.RdBu_r)
+plt.contour(lat, lev/1e2, np.nanmedian(msf_ldct, axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'LandControl')
+
+ax = plt.subplot(3, 2, 4)
+plt.contourf(lat, lev/1e2, np.nanmedian(ua_ld4x, axis=0), cu, cmap=cm.RdBu_r)
+plt.contour(lat, lev/1e2, np.nanmedian(msf_ld4x, axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'Land4xCO2')
+
+ax = plt.subplot(3, 2, 6)
+plt.contourf(lat, lev/1e2, np.nanmedian(ua_ldor, axis=0), cu, cmap=cm.RdBu_r)
+plt.contour(lat, lev/1e2, np.nanmedian(msf_ldor, axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'LandOrbit'), plt.ylabel('pressure (hPa)', fontsize=10)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+ax.xaxis.set_ticklabels([r'60$^\mathrm{o}$S', r'30$^\mathrm{o}$S', \
+ 'Eq', r'30$^\mathrm{o}$',r'60$^\mathrm{o}$'], fontsize=10)
+
+plt.tight_layout
+
+plt.savefig('figs/ua_msf_modelmedian_allmodels_zonaltimemean.pdf')
+
+plt.show()
diff --git a/ramadda/ua_msf_modelmedian_allexperiments_zonaltimemean_plevels.py b/ramadda/ua_msf_modelmedian_allexperiments_zonaltimemean_plevels.py
new file mode 100644
index 0000000000000000000000000000000000000000..3e80858643554682bf8091eed7086344b1de0cf3
--- /dev/null
+++ b/ramadda/ua_msf_modelmedian_allexperiments_zonaltimemean_plevels.py
@@ -0,0 +1,143 @@
+# load modules
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+
+# load own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+sys.path.append('/home/aiko/Dropbox/Projects/current/Tracmip/analysis/python3/ramadda/mymodules/')
+import tracmipmodels as tracmipmodels
+import atmosphere as atm
+
+def make_nice_plot(ax, title):
+ plt.xlim(-0.98, 0.98), plt.ylim(1000, 10)
+ ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])
+ ax.xaxis.set_ticklabels([''], fontsize=10)
+ ax.yaxis.set_ticks([10, 200, 600, 1000])
+ ax.yaxis.set_ticklabels([''],fontsize=10)
+ plt.title(title, fontsize=14)
+
+# load zonal and meridional wind data
+file = np.load('ua_zonaltimemean_plevels.npz')
+lev = file['lev']
+lat = file['lat']
+ua_aqct = file['ua_aqct']
+ua_aq4x = file['ua_aq4x']
+ua_ldct = file['ua_ldct']
+ua_ld4x = file['ua_ld4x']
+ua_ldor = file['ua_ldor']
+
+file = np.load('va_zonaltimemean_plevels.npz')
+va_aqct = file['va_aqct']
+va_aq4x = file['va_aq4x']
+va_ldct = file['va_ldct']
+va_ld4x = file['va_ld4x']
+va_ldor = file['va_ldor']
+
+nmod = ua_aqct[:, 0, 0].size
+sinlat = np.sin(lat*np.pi/180)
+
+# list of available models
+modlist_aqct = tracmipmodels.get_availablemodels('aqct')
+modlist_aq4x = tracmipmodels.get_availablemodels('aq4x')
+modlist_ldct = tracmipmodels.get_availablemodels('ldct')
+modlist_ld4x = tracmipmodels.get_availablemodels('ld4x')
+modlist_ldor = tracmipmodels.get_availablemodels('ldor')
+
+# model names
+modnames = tracmipmodels.get_modelnames()
+
+# mass stream function
+msf_aqct = np.zeros(va_aqct.shape) + np.nan
+msf_aq4x = np.zeros(va_aqct.shape) + np.nan
+msf_ldct = np.zeros(va_aqct.shape) + np.nan
+msf_ld4x = np.zeros(va_aqct.shape) + np.nan
+msf_ldor = np.zeros(va_aqct.shape) + np.nan
+
+for m in modlist_aqct:
+ msf_aqct[m, :, :] = atm.get_massstreamfunction(va_aqct[m, :, :], lev, lat)
+for m in modlist_aq4x:
+ msf_aq4x[m, :, :] = atm.get_massstreamfunction(va_aq4x[m, :, :], lev, lat)
+for m in modlist_ldct:
+ msf_ldct[m, :, :] = atm.get_massstreamfunction(va_ldct[m, :, :], lev, lat)
+for m in modlist_ld4x:
+ msf_ld4x[m, :, :] = atm.get_massstreamfunction(va_ld4x[m, :, :], lev, lat)
+for m in modlist_ldor:
+ msf_ldor[m, :, :] = atm.get_massstreamfunction(va_ldor[m, :, :], lev, lat)
+
+# ploting
+for m in range(0, nmod):
+ plt.subplot(4, 4, m+1)
+ c=plt.contourf(lat, lev, ua_aqct[m, :, :], np.linspace(-100, 100, 100))
+ plt.colorbar(c)
+ plt.title(modnames[m])
+
+plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')
+
+cu = np.array([-55, -45, -35, -25, -15, -5,\
+ 5, 15, 25, 35, 45, 55])
+cmsf = np.array([-170, -150, -130, -110, -90, -70, -50, -30, -10, 10, 30, 50, 70, 90, 110, 130, 150, 170])
+
+ax = plt.subplot(3, 2, 1)
+plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_aqct[modlist_aqct], axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_aqct[modlist_aqct], axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'AquaControl'), plt.ylabel('hPa', fontsize=12)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 3)
+c=plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_aq4x[modlist_aq4x], axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_aq4x[modlist_aq4x], axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'Aqua4xCO2'), plt.ylabel('hPa', fontsize=12)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 5)
+ax.axis('off')
+cbar = plt.colorbar(c, ticks=[-50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50],
+ orientation='horizontal', aspect=30)
+cbar.ax.tick_params(labelsize=10)
+plt.text(0, -0.2, 'm/s', fontsize=10, ha='right', va='center', transform=ax.transAxes)
+
+ax = plt.subplot(3, 2, 2)
+plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_ldct[modlist_ldct], axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_ldct[modlist_ldct], axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'LandControl')
+plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 4)
+plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_ld4x[modlist_ld4x], axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_ld4x[modlist_ld4x], axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'Land4xCO2')
+plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+ax = plt.subplot(3, 2, 6)
+plt.contourf(sinlat, lev/1e2, np.nanmedian(ua_ldor[modlist_ldor], axis=0), cu, cmap=cm.RdBu_r, extend='both')
+plt.contour(sinlat, lev/1e2, np.nanmedian(msf_ldor[modlist_ldor], axis=0), cmsf, colors='k')
+make_nice_plot(ax, 'LandOrbit'), plt.ylabel('hPa', fontsize=12)
+ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)
+ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)
+plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')
+
+plt.tight_layout
+
+plt.savefig('figs/ua_msf_modelmedian_allexperiments_zonaltimemean.pdf')
+
+# annual-mean Hadley cell strength
+hc_nh_aqct = np.max(np.max(msf_aqct[modlist_aqct, 2:15, :], axis=2), axis=1)
+hc_sh_aqct = np.min(np.min(msf_aqct[modlist_aqct, 2:15, :], axis=2), axis=1)
+print(hc_nh_aqct, np.nanmin(hc_nh_aqct), np.nanmax(hc_nh_aqct), np.nanmedian(hc_nh_aqct))
+print(hc_sh_aqct, np.nanmin(hc_sh_aqct), np.nanmax(hc_sh_aqct), np.nanmedian(hc_sh_aqct))
+
+# annual-mean jet position
+# 850 hPa is lev = 14
+jetlat_nh_aqct = np.zeros(nmod) + np.nan
+jetlat_sh_aqct = np.zeros(nmod) + np.nan
+for m in modlist_aqct:
+ jetlat_nh_aqct[m], jetlat_sh_aqct[m] = atm.get_eddyjetlat(ua_aqct[m, 14, :], lat)
+print(jetlat_nh_aqct, np.nanmedian(jetlat_nh_aqct))
+print(jetlat_sh_aqct, np.nanmedian(jetlat_sh_aqct))
+
+plt.show()
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+\documentclass[a4paper,12pt]{scrartcl}
+\usepackage{color}
+\usepackage[utf8]{inputenc}
+\usepackage{fullpage}
+\usepackage{natbib}
+\usepackage{graphicx}
+%\usepackage{hyperref}
+\usepackage{url}
+\usepackage{pdfpages}
+\usepackage{gensymb}
+
+% adapt section titles
+\usepackage{titlesec}
+
+\usepackage{setspace}
+\linespread{1.08}
+
+% make nice captions for figures
+\usepackage[margin=12pt,font=small,labelfont=bf,labelsep=endash,format=plain]{
+caption}
+
+\pagenumbering{arabic}
+
+% adapt page setup (margins etc.)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%\oddsidemargin -0.2in
+%\evensidemargin -0.2in
+\textwidth 6.5in
+%\headheight 0.0in
+%\topmargin -1.0in
+\textheight 8.8in
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%\linespread{1.09}
+
+
+
+% Title Page
+\title{\normalsize\vspace*{-1.5cm} ITCZ/Monsoon Model Intercomparison Project
+\\\vspace*{0.2cm} {Aiko Voigt, Michela Biasutti and Jack Scheff, \today}
+\author{}
+\date{}}
+
+
+\begin{document}
+
+\sloppy
+
+
+\maketitle
+%\thispagestyle{empty}
+%\pagestyle{empty}
+\vspace*{-2.4cm}
+
+\hrule
+\vspace*{0.7cm}
+
+
+\titleformat{\section}{\selectfont\bfseries}{\thesection}{0.2em}{ }
+\titleformat{\subsection}{\selectfont\bfseries}{\thesubsection}{0.2em}{ }
+
+\textbf{\textit{4 August 2015: Clarified whether fields should be saved as means over the
+output period or as snapshots.}}\\
+
+\textbf{\textit{14 July 2015: The land setup is revised and has changed with respect to earlier versions. We also
+now include plots for the ECHAM6.1 AquaControl and LandControl simulations for reference.}}\\
+
+\textit{This document describes the simulation setup and the requested simulations
+for the model-intercomparison project organized within the 2015 WCRP Grand Challenge workshop
+on ITCZ and monsoons. Five simulations in idealized aquaplanet and idealized continent
+setup are performed to study the dynamics and model robustness of how carbon dioxide, land and the orbital
+configuration
+affect the ITCZ and the monsoons as well as the interaction between the two. We note that this MIP is not part
+of CMIP6, but we are very much interested in discussions and exchanges with CMIP6 activities related to monsoons
+and the ITCZ.}
+
+\section{Model setup}
+
+The models are to be coupled to a slab ocean with time-mean zonal-mean ocean heat transport (``q-flux'') given in section
+\ref{sec:qflux}. The boundary conditions largely follow the CMIP5 aquaplanet protocol except for interactive sea-surface
+temperatures and the inclusion of a seasonal cycle in insolation. The following parameters should be specified:
+
+\begin{itemize}
+ \item CO$_\textrm{2}$: 348\,ppmv
+ \item CH$_\textrm{4}$: 1650\,ppbv
+ \item N$_\textrm{2}$O: 306\,ppbv
+ \item No Halocarbons (CFCs)
+ \item Ozone following values for the AquaPlanet Experiment (see \url{http://www.met.reading.ac.uk/~mike/APE/ape_ozone.html})
+ \item Total solar irradiance: 1365\,Wm$^{-2}$
+ \item No radiative effects of aerosols
+ \item Diurnal cycle in insolation
+ \item Calendar: a 360 days calendar (each month has 30 days) is desirable, but if such a calendar is not
+ available then a 365 days calendar without leap years should be used (second preference) or a 365 days
+ calendar with leap years (third preference)
+ \item Orbit: zero eccentricity, 23.5\degree obliquity, NH spring equinox on March 21; modelling groups should
+ check the timing of the NH spring equinox by looking at daily TOA shortwave data because a correct timing
+ is essential to meaningfully compare different models (a deviation from March 21 by 1-2 days is considered acceptable)
+ \item Slab ocean depth: 30\,m
+ \item Sea-ice formation should be inhibited, and ocean temperatures should be allowed to cool below the freezing temperature
+ of sea water \citep[see, e.g.,][]{kang_itcz_jclim2008,voigt_albedoitcz_jclim2014}
+\end{itemize}
+
+For the land simulations, a rectangular continent extending from 30\degree\,S to 30\degree\,N and 0\degree\,E to 45\degree\,E should
+be introduced. The q-flux should be zeroed out over this region, which requires a small uniform
+correction of the q-flux over ocean areas of -0.59\,Wm$^{-2}$ (see Sect.\,\ref{sec:qflux}).
+Land should be represented as a very shallow ocean of
+depth 0.1\,m with increased surface albedo and with decreased evaporation.
+
+Regarding the land surface albedo: the land albedo should be the ocean albedo plus 0.07. So if the ocean
+has an albedo of 0.06, the land should have an albedo of 0.13. For some models the ocean albedo is not a
+constant number but depends
+on the zenith angle and the ratio of diffuse vs. direct radiation. In this case, the land
+albedo should be the ocean albedo calculated for the specific conditions plus 0.07.
+
+Regarding decreased evaporation over land: over land we aim
+at a reduction of evaporation compared to ocean. This is achieved
+by rescaling the moisture transfer coefficient, $C_{q}$, which
+affects the surface evaporation via
+\begin{equation}
+ E = C_{q} | \vec{V_1} | (q_1-q_s),
+\end{equation}
+with subscripts $1$ and $s$ denoting values at the lowest model level and at the surface.
+Over land, the transfer coefficient $C_{q}$ should be halved, i.e.,
+\begin{equation}
+C_q \rightarrow C_{q}\cdot\frac{1}{2},
+\end{equation}
+which assuming no changes in surface wind
+speed and boundary-layer humidity will reduce
+the evaporation by a factor of 2.
+Over ocean the transfer coefficient must not be decreased.
+
+For the LandOrbit simulations, the orbital parameters should be set to
+\begin{itemize}
+ \item eccentricity: 0.02 %0.018682
+ \item obliquity: 23.5\degree{}
+ \item NH spring equinox on March 21
+ \item longitude of perihelion=270\degree{}, implying that NH solstice occurs during aphelion.
+\end{itemize}
+This orbit roughly corresponds to Earth's comtemporary orbit \citep{joussaume_paleoorbits_jgr1997}.
+The solar constant and greenhouse gases should be as in the other simulations.
+
+\begin{table}[h]
+\caption{List of requested simulations.}
+\label{tab:jetshift_free_locked_aquaruns}
+\centering
+\begin{tabular}{lll}
+\hline\hline
+Simulation & years & specifications \\
+\hline
+AquaControl & 15+30 & aquaplanet control simulation (includes 15 years of spin up)\\
+Aqua4xCO2 & 40 & as AquaControl but with quadrupled CO$_\textrm{2}$,\\
+ & & to be restarted from end of AquaControl (Dec 30 of year 45)\\
+LandControl & 40 & as AquaControl but with idealized continent,\\
+ & & to be restarted from end of AquaControl (Dec 30 of year 45)\\
+Land4xCO2 & 40 & as LandControl but with quadrupled CO$_\textrm{2}$,\\
+ & & to be restarted from end of LandControl (Dec 30 of year 40)\\
+LandOrbit & 40 & as LandControl but with changed orbital parameters,\\
+ & & to be restarted from end of LandControl (Dec 30 of year 40)\\
+\hline\hline
+\end{tabular}
+\end{table}
+
+\section{Requested simulations}
+
+Table \ref{tab:jetshift_free_locked_aquaruns} lists the requested simulations. To quantify
+the transient response and the adjusted radiative forcing, all of the simulations except
+AquaControl should be restarted from another simulation as described in the table.
+
+
+\section{Requested Output}
+
+We request output following the standard output of CMIP5 (see \url{http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf}).
+To facilitate the analysis of the simulations, the data should be ``cmorized''. By cmorizing we here mean that
+the variables are named according to the CMIP5 names and have the same units
+as in CMIP5, and that 3d-data is interpolated to the 17 CMIP5 pressure levels
+(1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10 hPa)
+
+\begin{itemize}
+ \item Monthly-mean output: all fields of the CMOR Table Amon except fields related to
+ carbon mass flux and mole fractions of ozone etc., saved for all years and simulations except
+ the 15 years of initial spinup for AquaControl
+ \item Daily output: same fields as for monthly-mean output, saved for the last 10 years of each simulation
+ \item 3-hourly output: same fields as for monthly-mean output, saved for the last 3 years of each simulation
+\end{itemize}
+
+As for whether fields should be saved as means or snapshots, we adapt the CMIP5 conventions.
+For the monthly and daily output streams, all fields should be means over the output period. For the
+3-hourly output stream, $T$ (including surface and atmosphere), $u$, $v$, $\omega$, $q$, $z$ (geopotential
+height), should be
+snapshots whereas all other fields should be means.
+
+\section{Specification of the ocean q-flux}
+\label{sec:qflux}
+The slab ocean allows interactive sea-surface temperatures without the large
+computational burden from coupling to a dynamic three-dimensional ocean model.
+The q-flux is derived from present-day observations, with details given below. It
+is provided as a netcdf file that includes the q-flux for the
+aquaplanet simulations and a corrected q-flux for the simulations
+with land. The q-flux can also be implemented in the models by using
+the polynomial representation that is given in section\,\ref{subsec:qflux_derivation}.
+Fig.\,1 shows the q-flux and the corresponding ocean heat transport, and compares
+the two with the present-day values. The q-flux is constant in time.
+For the aquaplanet simulations, the q-flux is zonally-symmetric. For the land simulations,
+the q-flux is zonally-symmetric over ocean regions and zero over land.
+
+
+\begin{figure}
+ \begin{center}
+ \includegraphics[width=25pc]{./figs/qflux_oht.pdf}
+ \end{center}
+ \caption{Q-flux and ocean heat transport from observations (blue)
+ and the fit used in the MIP (green). The q-flux for
+ simulations with land is given in red; note that in the case of land
+ the q-flux shown is not the zonal-mean q-flux but the q-flux over ocean points
+ only.}
+ \label{fig:qflux_oht}
+\end{figure}
+
+
+\subsection{Derivation of the q-flux}
+\label{subsec:qflux_derivation}
+
+For the q-flux we make use of present-day observations of the annual-mean TOA radiation budget
+and reanalysis estimates of the atmospheric energy transport ($ATM$). From the observed time-mean
+estimate of the total ocean heat transport,
+\begin{equation}
+q_\textrm{obs}(\lambda,\varphi) = TOA(\lambda,\varphi)-ATM(\lambda,\varphi),
+\end{equation}
+we calculate the zonal-mean time-mean q-flux
+\begin{equation}
+\overline{q}_\textrm{obs}(\varphi) = \frac{1}{2\pi} \int_0^{2\pi} q_\textrm{obs} d\lambda.
+\end{equation}
+For the zonal average, land points are included with their q-flux being set to zero. I.e.,
+the zonal average is not weighted by the sea-land mask. Then, we fit $\overline{q}_\textrm{obs}$
+by a hemispherically-dependent polynomial of degree four to smooth out smaller-scale wiggles in the mid- and high-latitudes.
+This is done to avoid that these wiggles aggravate model differences in the jet position,
+and to avoid an imprint on these observed wiggles on the extratropical atmospheric circulation
+in the idealized simulations pursued here.
+Specifically, the q-flux is given by
+\begin{equation}
+ q(\varphi) = p_0 + p_1 \cdot \varphi + p_2 \cdot \varphi^2 + p_3 \cdot \varphi^3 + p_4 \cdot \varphi^4.
+\end{equation}
+For the aquaplanet simulations, the polynomial coefficients are in the
+Northern hemisphere $(\varphi>0)$
+\begin{eqnarray*}
+ p^{NH}_0 & = &-50.1685 \\
+ p^{NH}_1 & = & 4.9755 \\
+ p^{NH}_2 & = & -1.4162\cdot 10^{-1} \\
+ p^{NH}_3 & = & 1.6743\cdot 10^{-3} \\
+ p^{NH}_4 & = & -6.8650\cdot 10^{-6}, \\
+\end{eqnarray*}
+where $\varphi$ has units of deg latitude.
+In the Southern hemisphere $(\varphi<0)$,
+\begin{eqnarray*}
+ p^{SH}_0 & = & -56. 0193 \\
+ p^{SH}_1 & = & -6.4824 \\
+ p^{SH}_2 & = & -2.3494\cdot 10^{-1} \\
+ p^{SH}_3 & = & -3.4685\cdot 10^{-3} \\
+ p^{SH}_4 & = & -1.7732\cdot 10^{-5} \\
+\end{eqnarray*}
+
+As described above, for the land simulation the q-flux is set to zero over land.
+This requires a small uniform correction of -0.59\,Wm$^{-2}$ to guarantee that the
+global-mean q-flux is zero. The uniform correction is applied to all ocean points (but
+not to the land points) by setting $p^{NH}_0 \rightarrow p^{NH}_0 -0.59$ and
+$p^{SH}_0 \rightarrow p^{SH}_0 -0.59$.
+\clearpage
+\section{ECHAM6.1 reference plots}
+
+This section provides plots for the ECHAM6.1 AquaControl and LandControl simulations
+as a reference for other modelling groups. This does not mean
+that other models must show similar or the exact same results, but the plots might
+provide guidance to check whether the setup was implemented correctly.
+We particularly encourage modelling groups
+to check the top-of-atmosphere solar insolation,
+the land surface albedo diagnosed from the surface shortwave fluxes,
+and the q-flux over ocean, which can be diagnosed as the sum
+of shortwave and longwave radiative fluxes and the latent
+and sensible heat fluxes.
+
+\subsection{TOA shortwave downward insolation}
+
+\begin{figure}[h!]
+ \begin{center}
+ \includegraphics[width=40pc]{./figs/echam61_ldeo_aquacontrol_toaswdown.pdf}
+ \end{center}
+ \caption{Top-of-atmosphere downward shortwave irradiance.}
+\end{figure}
+
+\subsection{AquaControl}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_aquacontrol_qflux_heattransport.pdf}
+ \caption{ECHAM6.1 AquaControl: ocean q-flux (right) and meridional energy transport
+ of the ocean (middle) and the atmosphere (right).}
+\end{figure}
+
+\begin{figure}[h!]
+ \begin{center}
+ \includegraphics[width=40pc]{./figs/echam61_ldeo_aquacontrol.pdf}
+ \end{center}
+ \caption{ECHAM6.1 AquaControl: seasonal cycle of tropical precipitation (top left)
+ and surface temperature (bottom left). Right: time-mean zonal-mean
+ precipitation and surface temperature; global-mean values are given on top
+ of the plots.}
+\end{figure}
+
+\clearpage
+\subsection{LandControl}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_itczmip003_qflux_heattransport.pdf}
+ \caption{ECHAM6.1 LandControl: ocean q-flux over ocean points (right), and meridional energy transport
+ of the ocean (middle) and the atmosphere (right).}
+\end{figure}
+
+\begin{figure}[h!]
+ \includegraphics[width=40pc]{./figs/echam61_ldeo_itczmip003_sfcalbedo.pdf}
+ \caption{ECHAM6.1 LandControl: time-mean surface albedo calculated by the surface downward and upward shortwave
+ radiative flux.}
+\end{figure}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_tsurf_precip_itczmip003.pdf}
+ \caption{ECHAM6.1 LandControl: seasonal cycle of tropical precipitation (left)
+ and surface temperature (bottom left). Right: time-mean zonal-mean
+ precipitation and surface temperature; global-mean values are given on top
+ of the plots.}
+\end{figure}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_tsurf_precip_oceanonly_itczmip003.pdf}
+ \caption{ECHAM6.1 LandControl: seasonal cycle of tropical precipitation (left)
+ and surface temperature (bottom left) only over ocean points. Right: time-mean zonal-mean
+ precipitation and surface temperature only taking into account ocean points.}
+\end{figure}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_tsurf_precip_landonly_itczmip003.pdf}
+ \caption{ECHAM6.1 LandControl: seasonal cycle of tropical precipitation (left)
+ and surface temperature (bottom left) only over land points. Right: time-mean zonal-mean
+ precipitation and surface temperature only taking into account land points.}
+\end{figure}
+
+\begin{figure}[h!]
+ \hspace{-2cm}\includegraphics[width=50pc]{./figs/echam61_ldeo_tsurf_sfcfluxes_itczmip003.pdf}
+ \caption{ECHAM6.1 LandControl: time-mean surface temperature, precipitation and surface latent and
+ sensible heat fluxes.}
+\end{figure}
+
+
+\clearpage
+\vspace*{0.1cm}
+\titleformat{\section}{\normalsize\selectfont\itshape}{\thesection}{0em}{}
+\bibliographystyle{/home/aiko/Dropbox/BibTEX/ametsoc}
+\bibliography{/home/aiko/Dropbox/BibTEX/my_entire_bibliography}
+
+
+\end{document}
+
+
diff --git a/sim-protocol/python3/qflux.py b/sim-protocol/python3/qflux.py
new file mode 100644
index 0000000000000000000000000000000000000000..0bad2676df23c518084142a458d1cc8cc97eb300
--- /dev/null
+++ b/sim-protocol/python3/qflux.py
@@ -0,0 +1,212 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Sun Nov 9 15:09:22 2014
+
+@author: aiko
+"""
+
+import netCDF4 as nc
+import scipy.stats as spstats
+import scipy.optimize as spopt
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load my own modules
+import sys
+sys.path.append('/home/aiko/Dropbox/Python3/mymodules/')
+import atmosphere as atm
+
+
+def func_fit_qflux(x,p0,p1,p2,p3,p4):
+ lat2rad=1#np.pi/180.0
+ return p0+p1*(lat2rad*x)+p2*(lat2rad*x)**2+p3*(lat2rad*x)**3+p4*(lat2rad*x)**4
+
+file = nc.Dataset('/home/aiko/Dropbox/Projects/current/Tracmip/sim_protocol/data/surfaceflux_r180x90.nc','r')
+qflux=np.array(file.variables['flux_oh'])
+lat = np.array(file.variables['lat'])
+lon = np.array(file.variables['lon'])
+
+# 1-dimensonal area
+file = nc.Dataset('/home/aiko/Dropbox/Projects/current/Tracmip/sim_protocol/data/surfaceflux_r180x90_gridarea.zonmean.nc','r')
+area1d= np.array(file.variables['cell_area'])
+area1d=area1d[:,0] # make sure that area1d has np.shape=(90,); if not vector
+ # multiplication of area1d with qflux fails
+
+# time mean qflux
+qflux_tm=np.mean(qflux,axis=0)
+
+# construct land sea mask: ocean=1, land=NaN
+slm=1.0+0*qflux_tm
+for j in range(0,lat.size):
+ for i in range(0,lon.size):
+ if qflux_tm[j,i]==0: slm[j,i]=np.NaN
+
+# zonal mean q-flux
+# version1: treat land points as zero
+qflux_tmzm_v1 = spstats.nanmean(qflux_tm,axis=1)
+# version2: treat land points as NaN, this will give
+# larger zonal-mean q-flux
+qflux_tmzm_v2 = spstats.nanmean(qflux_tm*slm,axis=1)
+# set NaN from nanmean to zero
+qflux_tmzm_v2 = np.nan_to_num(qflux_tmzm_v2)
+
+# make sure that global-mean of zonal-mean q-flux is zero, this is
+# not guaranteed for version2
+qflux_tmzm_v1=qflux_tmzm_v1 - np.sum(qflux_tmzm_v1*area1d)/np.sum(area1d)
+qflux_tmzm_v2=qflux_tmzm_v2 - np.sum(qflux_tmzm_v2*area1d)/np.sum(area1d)
+
+print("global mean of qflux_tmzm_v1:")
+print(np.sum(qflux_tmzm_v1*area1d)/np.sum(area1d))
+
+# fit the qflux_tmzm
+qflux_fit=0*qflux_tmzm_v1
+indlat_nh=np.where(lat>=0)
+p_nh,_=spopt.curve_fit(func_fit_qflux, lat[indlat_nh], qflux_tmzm_v1[indlat_nh])
+indlat_sh=np.where(lat<0)
+p_sh,_=spopt.curve_fit(func_fit_qflux, lat[indlat_sh], qflux_tmzm_v1[indlat_sh])
+qflux_fit[indlat_nh]=func_fit_qflux(lat[indlat_nh],p_nh[0],p_nh[1],p_nh[2],p_nh[3],p_nh[4])
+qflux_fit[indlat_sh]=func_fit_qflux(lat[indlat_sh],p_sh[0],p_sh[1],p_sh[2],p_sh[3],p_sh[4])
+
+print("global mean of qflux_fit:")
+print(np.sum(qflux_fit*area1d)/np.sum(area1d))
+
+print("polynomial factors for NH:")
+print(p_nh)
+print("polynomial factors for SH:")
+print(p_sh)
+
+# find glabal mean imbalance if we put in continent from 30N-30S and 0-45 deg lon
+# and keep qflux_fit the same (but cut out the continent and thus remove
+# part of the tropical q-flux)
+area1d_withland=1*area1d # 1* is important, otherwise we do not create new array but
+ # merely a new reference to qflux_fit, which will bring
+ # us into trouble
+# ocean area reduced between 30N-30S to 7/8:
+for i in range(0,lat.size):
+ if (abs(lat[i])<=30):
+ area1d_withland[i]=(360-45)/360 * area1d[i]
+
+imbalance_withland=np.sum(qflux_fit*area1d_withland)/np.sum(area1d_withland)
+print("Global-mean imbalance due to introducing continent:")
+print(imbalance_withland)
+
+# qflux_fit_withland is qflux_fit corrected for imbalance_withland
+qflux_fit_withland=1*qflux_fit - imbalance_withland
+
+print('Global mean of qflux_fit_withland:')
+print(np.sum(qflux_fit_withland*area1d_withland)/np.sum(area1d_withland))
+
+#print(np.shape(qflux_fit*area1d))
+# make sure qflux_fit has global-mean of zero
+#print(np.sum(qflux_fit*area1d)/np.sum(area1d))
+#qflux_fit=qflux_fit - np.sum(qflux_fit*area1d)/np.sum(area1d)
+#print(np.sum(qflux_fit*area1d)/np.sum(area1d))
+
+
+# calculate oht in PW
+oht_tmzm_v1 = atm.get_atmenergytransport(-1*qflux_tmzm_v1,lat)
+oht_tmzm_v2 = atm.get_atmenergytransport(-1*qflux_tmzm_v2,lat)
+oht_fit = atm.get_atmenergytransport(-1*qflux_fit,lat)
+oht_fit_withland = atm.get_atmenergytransport(-1*(qflux_fit_withland*area1d_withland/area1d), lat)
+
+#plotting
+plt.figure(figsize=(12, 4),dpi=80,facecolor='w',edgecolor='k')
+
+ax=plt.subplot(1, 2, 1)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+ax.xaxis.set_ticks([-89.5,-60,-30,0,30,60,89.5])
+ax.xaxis.set_ticklabels(['90S','60S','30S','Eq','30N','60N','90N'], fontsize=10)
+ax.yaxis.set_ticks([-60, -45, -30, -15, 0, 15, 30])
+ax.yaxis.set_ticklabels([-60, -45, -30, -15, 0, 15, 30], fontsize=10)
+plt.xlim(-89, 89), plt.ylim(-60, 30)
+plt.plot([-100, 100], [0, 0], 'k--')
+plt.plot(lat,qflux_tmzm_v1, color='gray', linewidth=2)
+#plt.plot(lat,qflux_tmzm_v2)
+plt.plot(lat,qflux_fit, color='royalblue', linewidth=2)
+plt.plot(lat,qflux_fit_withland, color='chocolate', linewidth=2)
+plt.text(1, 0.15, 'present-day', color='gray', fontsize=12, ha='right', transform=ax.transAxes)
+plt.text(1, 0.1 , 'Tracmip aquaplanet', color='royalblue', fontsize=12, ha='right', transform=ax.transAxes)
+plt.text(1, 0.05, 'Tracmip with continent', color='chocolate', fontsize=12, ha='right', transform=ax.transAxes)
+plt.ylabel(r'Wm$^{-2}$', fontsize=12)
+plt.title('q-flux at ocean grid cells', fontsize=14)
+plt.text(0.02, 1.0, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+ax=plt.subplot(1, 2, 2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.yaxis.set_ticks_position('left')
+ax.xaxis.set_ticks([-89.5,-60,-30,0,30,60,89.5])
+ax.xaxis.set_ticklabels(['90S','60S','30S','Eq','30N','60N','90N'], fontsize=10)
+ax.yaxis.set_ticks([-1.0, 0, 1.0, 2.0])
+ax.yaxis.set_ticklabels([-1.0, 0, 1.0, 2.0], fontsize=10)
+plt.xlim(-89, 89), plt.ylim(-1.5, 2.1)
+plt.plot([-100, 100], [0, 0], 'k--')
+plt.plot(lat,oht_tmzm_v1, color='gray', linewidth=2)
+#plt.plot(lat,oht_tmzm_v2)
+plt.plot(lat,oht_fit, color='royalblue', linewidth=2)
+plt.plot(lat,oht_fit_withland, color='chocolate', linewidth=2)
+plt.ylabel('PW', fontsize=12)
+plt.title('Ocean energy transport', fontsize=14)
+plt.text(0.02, 1.0, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)
+
+plt.tight_layout
+plt.savefig('qflux_oht.pdf')
+
+#plt.figure()
+#plt.plot(lat,qflux_fit)
+#plt.plot(lat,qflux_fit_withland)
+#plt.plot(lat,qflux_fit-qflux_fit_withland)
+
+#plt.figure()
+#plt.plot(lat,area1d)
+#plt.plot(lat,area1d_withland)
+
+print([lat[45], oht_fit[45]])
+print([lat[44], oht_fit[44]])
+print( 0.5*(oht_fit[45] + oht_fit[44]) )
+
+
+print(p_nh-imbalance_withland)
+print(p_sh-imbalance_withland)
+
+plt.show()
+
+#---------------------------------------
+# save to netcdf files
+qflux_fit_3d=np.zeros((12,lat.size,lon.size))
+qflux_fit_withland_3d=np.zeros((12,lat.size,lon.size))
+for j in range(0,lat.size):
+ qflux_fit_3d[:,j,:]=qflux_fit[j]
+ for i in range(0,lon.size):
+ if ((abs(lat[j])<=30) & (lon[i]>=0) & (lon[i]<=45)):
+ qflux_fit_withland_3d[:,j,i]=0
+ else:
+ qflux_fit_withland_3d[:,j,i]=qflux_fit_withland[j]
+
+
+root_grp = nc.Dataset('qflux_idealized.nc', 'w',clobber=True, format='NETCDF3_CLASSIC')
+root_grp.description = 'Idealized Q-flux'
+
+# dimensions
+root_grp.createDimension('time', None)
+root_grp.createDimension('lat', 90)
+root_grp.createDimension('lon', 180)
+
+# variables
+times = root_grp.createVariable('time', 'f8', ('time',))
+latitudes = root_grp.createVariable('latitude', 'f4', ('lat',))
+longitudes = root_grp.createVariable('longitude', 'f4', ('lon',))
+qflux_fit_3d_data = root_grp.createVariable('qflux_aqua', 'f4', ('time', 'lat', 'lon',))
+qflux_fit_withland_3d_data = root_grp.createVariable('qflux_withland', 'f4', ('time', 'lat', 'lon',))
+
+# data
+latitudes[:] = lat
+longitudes[:] = lon
+qflux_fit_3d_data[:,:,:] = qflux_fit_3d
+qflux_fit_withland_3d_data[:,:,:] = qflux_fit_withland_3d
+
+root_grp.close()
\ No newline at end of file
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