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Commit 771bccc7 authored by Lukas Kugler's avatar Lukas Kugler
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new obstypes, cloud dep. error, other updates

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with 824 additions and 34 deletions
config/cfg.py
+ 8
− 7
View file @ 771bccc7
......@@ -7,16 +7,17 @@ class ExperimentConfiguration(object):
pass
exp = ExperimentConfiguration()
exp.expname = "exp_v1.11_LMU_filter_domainobs"
exp.expname = "exp_v1.12_LMU_WV73_cde"
exp.model_dx = 2000
exp.timestep = 10
exp.n_ens = 40
exp.n_nodes = 10
exp.n_obs = 100
exp.sat_channels = [1,]
exp.error_variance = 0.0009
exp.n_ens = 20
exp.n_nodes = 5
exp.n_obs = 100 # radar: n_obs for each observation height level
exp.sat_channels = [6,]
exp.sat_err = 0.03
exp.radar_err = 5.
exp.distance_between_obs_meters = 10000
# directory paths depend on the name of the experiment
cluster.expname = exp.expname
config/clusters.py
+ 1
− 1
View file @ 771bccc7
......@@ -17,7 +17,7 @@ class ClusterConfig(object):
vsc = ClusterConfig()
vsc.name = 'vsc'
vsc.python = '/home/fs71386/lkugler/miniconda3/bin/python'
vsc.python = '/home/fs71386/lkugler/miniconda3/envs/DART/bin/python'
vsc.ncks = '/home/fs71386/lkugler/miniconda3/envs/DART/bin/ncks'
vsc.userdir = '/home/fs71386/lkugler'
vsc.srcdir = '/home/fs71386/lkugler/compile/WRF/WRF-4.2.1/run'
......
scripts/archive_assim.py
+ 5
− 3
View file @ 771bccc7
......@@ -41,8 +41,10 @@ try:
filter_in = cluster.dartrundir+'/preassim_member_'+str(iens).zfill(4)+'.nc'
filter_out = cluster.dartrundir+'/filter_restart_d01.'+str(iens).zfill(4)
copy(filter_in, savedir+time.strftime('/%Y-%m-%d_%H:%M_prior'))
copy(filter_out, savedir+time.strftime('/%Y-%m-%d_%H:%M_posterior'))
# files not necessary as wrfouts exist
#copy(filter_in, savedir+time.strftime('/%Y-%m-%d_%H:%M_prior'))
#copy(filter_out, savedir+time.strftime('/%Y-%m-%d_%H:%M_posterior'))
# copy mean and sd to archive
print('copy preassim, postassim mean and sd')
......
scripts/gen_synth_obs.py 0 → 100755
+ 171
− 0
View file @ 771bccc7
import os, sys, shutil
import datetime as dt
import numpy as np
from scipy.interpolate import interp1d
from config.cfg import exp, cluster
from utils import symlink, copy, sed_inplace, append_file
import create_obsseq
# fit of Fig 7, Harnisch 2016
x_ci = [0, 5, 10.5, 13, 16]
y_oe = [1, 4.5, 10, 12, 13] # Kelvin
oe_73_linear = interp1d(x_ci, y_oe, assume_sorted=True)
def oe_73(ci):
if ci < 13:
return oe_73_linear(ci)
else:
return 16.
def cloudimpact_73(bt_mod, bt_obs):
"""
follows Harnisch 2016
"""
biascor_obs = 0
bt_lim = 255 # Kelvin for 7.3 micron WV channel
ci_obs = max(0, bt_lim-(bt_obs - biascor_obs))
ci_mod = max(0, bt_lim-bt_mod)
ci = (ci_obs+ci_mod)/2
return ci
def read_prior_obs(f_obs_prior):
"""
docstring
"""
obsseq = open(f_obs_prior, 'r').readlines()
OBSs = []
# read observations from obs_seq.final
for i, line in enumerate(obsseq):
if ' OBS ' in line:
observed = float(obsseq[i+1].strip())
truth = float(obsseq[i+2].strip())
prior_ensmean = float(obsseq[i+3].strip())
prior_enssd = float(obsseq[i+4].strip())
prior_ens = []
for j in range(5, 5+exp.n_ens):
prior_ens.append(float(obsseq[i+j].strip()))
OBSs.append(dict(observed=observed, truth=truth,
prior_ens=np.array(prior_ens)))
return OBSs
def edit_obserr_in_obsseq(fpath_obsseqin, OEs):
"""
overwrite observation errors in a obs_seq.out file
according to the values in OEs
"""
# write to txt (write whole obs_seq.out again)
obsseq = open(fpath_obsseqin, 'r').readlines()
obsseq_new = obsseq.copy()
i_obs = 0
for i, line in enumerate(obsseq):
if 'kind\n' in line:
i_line_oe = i+9 # 9 for satellite obs
obsseq_new[i_line_oe] = ' '+str(OEs[i_obs])+' \n'
i_obs += 1
os.rename(fpath_obsseqin, fpath_obsseqin+'-bak') # backup
# write cloud dependent errors (actually whole file)
with open(fpath_obsseqin, 'w') as f:
for line in obsseq_new:
f.write(line)
def set_input_nml(sat_channel=False, just_prior_values=False):
"""descr"""
if just_prior_values:
template = cluster.scriptsdir+'/../templates/input.prioronly.nml'
else:
template = cluster.scriptsdir+'/../templates/input.nml'
copy(template, cluster.dartrundir+'/input.nml')
sed_inplace(cluster.dartrundir+'/input.nml', '<n_ens>', str(int(exp.n_ens)))
# input.nml for RTTOV
if sat_channel > 0:
if sat_channel in [1, 2, 3, 12]:
rttov_nml = cluster.scriptsdir+'/../templates/obs_def_rttov.VIS.nml'
else:
rttov_nml = cluster.scriptsdir+'/../templates/obs_def_rttov.IR.nml'
append_file(cluster.dartrundir+'/input.nml', rttov_nml)
if __name__ == "__main__":
time = dt.datetime.strptime(sys.argv[1], '%Y-%m-%d_%H:%M')
print(dt.datetime.now())
# error_var = (5.)**2
# kind = 'RADAR'
# error_var = (0.5)**2
# kind = 'RASO_T'
#obs.generic_obs(kind, time, exp.n_obs, exp.radar_err**2, exp.distance_between_obs_meters,
# output_path=cluster.dartrundir,
# fpath_obs_locations=cluster.archivedir()+time.strftime('/%Y-%m-%d_%H:%M')
# +'/obs_coords.pkl')
for channel_id in exp.sat_channels:
n_obs = 100
channel_id = 6
distance_between_obs_meters = 10000
error_var = (1.)**2
create_obsseq.sat(time, channel_id, n_obs, error_var,
distance_between_obs_meters,
output_path=cluster.dartrundir,
fpath_obs_locations='./domain.pkl')
print(dt.datetime.now())
if not os.path.exists(cluster.dartrundir+'/obs_seq.in'):
raise RuntimeError('obs_seq.in does not exist in '+cluster.dartrundir)
# generate observations
set_input_nml(sat_channel=channel_id, just_prior_values=True)
os.chdir(cluster.dartrundir)
t = dt.datetime.now()
os.system('mpirun -np 12 ./perfect_model_obs')
print('1st perfect_model_obs', (dt.datetime.now()-t).total_seconds())
if channel_id == 6:
# run ./filter to have prior observation estimates from model state
set_input_nml(sat_channel=channel_id, just_prior_values=True)
t = dt.datetime.now()
os.system('mv obs_seq.out obs_seq_all.out; mpirun -np 20 ./filter')
print('1st filter', (dt.datetime.now()-t).total_seconds())
# find the observation error for a pair of (H(x_nature), H(x_background))
f_obs_prior = cluster.dartrundir+'/obs_seq.final'
OBSs = read_prior_obs(f_obs_prior)
# compute the observation error necessary
# to achieve a certain operational FGD distribution
OEs = []
for obs in OBSs:
bt_y = obs['truth']
bt_x_ens = obs['prior_ens']
CIs = [cloudimpact_73(bt_x, bt_y) for bt_x in bt_x_ens]
oe_nature = oe_73(np.mean(CIs))
OEs.append(oe_nature)
# write obs_seq.out
fpath_obsseqout = cluster.dartrundir+'/obs_seq.in'
edit_obserr_in_obsseq(fpath_obsseqout, OEs)
print('after editing oe', dt.datetime.now())
# generate actual observations (with correct error)
os.chdir(cluster.dartrundir)
t = dt.datetime.now()
os.system('mpirun -np 12 ./perfect_model_obs')
print('real obs gen', (dt.datetime.now()-t).total_seconds())
# correct input.nml for actual assimilation later on
set_input_nml(sat_channel=channel_id, just_prior_values=False)
# FIXME: missing is the concatenation of
os.chdir(cluster.dartrundir)
os.system('cat obs_seq.out >> obs_seq_all.out')
print(dt.datetime.now())
# FIXME: what if different channels in one obs_seq.out -> need different input.nml for different channels
scripts/pre_assim.py
+ 3
− 3
View file @ 771bccc7
......@@ -16,7 +16,7 @@ for iens in range(1, exp.n_ens+1):
print('link wrfout file to DART background file')
wrfout_run = exppath_firstguess+background_init_time.strftime('/%Y-%m-%d_%H:%M/') \
+str(iens)+'/'+assim_time.strftime('/wrfout_d01_%Y-%m-%d_%H:%M:%S')
+str(iens)+assim_time.strftime('/wrfout_d01_%Y-%m-%d_%H:%M:%S')
dart_ensdir = cluster.dartrundir+'/advance_temp'+str(iens)
wrfout_dart = dart_ensdir+'/wrfout_d01'
......@@ -49,5 +49,5 @@ os.system('rm -rf '+cluster.dartrundir+'/output_mean*')
os.system('rm -rf '+cluster.dartrundir+'/output_sd*')
os.system('rm -rf '+cluster.dartrundir+'/perfect_output_*')
print('replace measurement error with obs error for assimilation') # FIXME !!! temporary only
sed_inplace(cluster.dartrundir+'/obs_seq.out', '9.000000000000000E-004', '0.04')
#print('replace measurement error with obs error for assimilation') # not needed anymore
#sed_inplace(cluster.dartrundir+'/obs_seq.out', '9.000000000000000E-004', '0.04')
scripts/prepare_namelist.py
+ 13
− 2
View file @ 771bccc7
import os, sys, shutil
import os, sys, shutil, warnings
import datetime as dt
sys.path.append(os.getcwd())
from config.cfg import exp, cluster
from utils import sed_inplace, copy, symlink
from utils import sed_inplace, copy, symlink, mkdir
def run(cluster, iens, begin, end):
rundir = cluster.wrf_rundir(iens)
......@@ -26,6 +26,17 @@ def run(cluster, iens, begin, end):
'<HH2>': '%H', '<MM2>': '%M'}.items():
sed_inplace(rundir+'/namelist.input', k, end.strftime(v))
#########################
try:
print('copy wrfinput of this run to archive')
wrfin_old = rundir+'/wrfinput_d01'
init_dir = cluster.archivedir()+begin.strftime('/%Y-%m-%d_%H:%M/')+str(iens)
os.makedirs(init_dir, exist_ok=True)
wrfin_arch = init_dir+'/wrfinput_d01'
copy(wrfin_old, wrfin_arch)
except Exception as e:
warnings.warn(str(e))
if __name__ == '__main__':
begin = dt.datetime.strptime(sys.argv[1], '%Y-%m-%d_%H:%M')
......
scripts/run_obs_diag.py
+ 11
− 5
View file @ 771bccc7
......@@ -28,19 +28,25 @@ def run(folder_obs_seq_final):
print('running obs_diag program')
os.chdir(rundir_program)
symlink(cluster.dart_srcdir+'/obs_diag', rundir_program+'/obs_diag')
os.system('./obs_diag >& obs_diag.log')
try:
os.remove(rundir_program+'/obs_seq_to_netcdf')
except:
pass
os.system('./obs_diag >& obs_diag.log') # caution, this overwrites obs_seq_to_netcdf
outdir = '/'.join(folder_obs_seq_final.split('/')[:-1])
print('moving output to', outdir+'/obs_diag_output.nc')
copy(rundir_program+'/obs_diag_output.nc', outdir+'/obs_diag_output.nc')
print('running obs_seq_to_netcdf program')
shutil.copy(cluster.dart_srcdir+'/obs_seq_to_netcdf-bak', cluster.dart_srcdir+'/obs_seq_to_netcdf')
symlink(cluster.dart_srcdir+'/obs_seq_to_netcdf', rundir_program+'/obs_seq_to_netcdf')
os.system('./obs_seq_to_netcdf >& obs_seq_to_netcdf.log')
print('moving output to', outdir+'/obs_seq_output.nc')
copy(rundir_program+'/obs_diag_output.nc', outdir+'/obs_seq_output.nc')
os.system('./obs_seq_to_netcdf >& obs_seq_to_netcdf.log') # caution, overwrites its own binary?!
print('moving output to', outdir+'/obs_seq...')
os.system('mv '+rundir_program+'/obs_epoch_*.nc '+outdir+'/')
if __name__ == '__main__':
folder_obs_seq_final = '/home/fs71386/lkugler/data/sim_archive/exp_v1.11_LMU_filter_domainobs/obs_seq_final/'
#folder_obs_seq_final = '/home/fs71386/lkugler/data/sim_archive/exp_v1.11_LMU_filter2/obs_seq_final/'
folder_obs_seq_final = str(sys.argv[1])
run(folder_obs_seq_final)
scripts/update_wrfinput_from_filteroutput.py
+ 29
− 5
View file @ 771bccc7
import os, sys, warnings
import datetime as dt
import netCDF4 as nc
from config.cfg import exp, cluster
from utils import symlink, copy_scp_srvx8, copy, mkdir, mkdir_srvx8, clean_wrfdir
time = dt.datetime.strptime(sys.argv[1], '%Y-%m-%d_%H:%M')
background_init_time = dt.datetime.strptime(sys.argv[2], '%Y-%m-%d_%H:%M')
exppath_firstguess = str(sys.argv[3])
#if cluster.name != 'srvx8':
# copy = copy_scp_srvx8
# mkdir = mkdir_srvx8
cycle_vars = ['U', 'V', 'P', 'PH', 'T', 'MU', 'QVAPOR', 'QCLOUD', 'QRAIN', 'QICE', 'QSNOW',
'QGRAUP', 'QNICE', 'QNRAIN', 'U10', 'V10', 'T2', 'Q2', 'PSFC', 'TSLB',
'SMOIS', 'TSK']
update_vars = ['Times', 'U', 'V', 'PH', 'T', 'MU', 'QVAPOR', 'QCLOUD', 'QICE', 'PSFC', 'TSK']
update_vars = ['Times', 'U', 'V', 'T', 'PH', 'MU', 'QVAPOR', 'QCLOUD', 'QICE', 'PSFC', 'TSK']
# variables which are updated need not to be cycled
for var in update_vars:
if var in cycle_vars:
cycle_vars.remove(var)
cycles = ','.join(cycle_vars)
updates = ','.join(update_vars)
print('move output to WRF dir as new initial conditions')
for iens in range(1, exp.n_ens+1):
clean_wrfdir(cluster.wrf_rundir(iens))
prior_wrf = exppath_firstguess + background_init_time.strftime('/%Y-%m-%d_%H:%M/') \
+str(iens)+time.strftime('/wrfout_d01_%Y-%m-%d_%H:%M:%S')
filter_out = cluster.dartrundir+'/filter_restart_d01.'+str(iens).zfill(4)
wrf_ic = cluster.wrf_rundir(iens) + '/wrfinput_d01'
# overwrite variables in wrfinput file
vars = ','.join(update_vars)
print('updating', vars, 'in', wrf_ic)
os.system(cluster.ncks+' -A -v '+vars+' '+filter_out+' '+wrf_ic)
# cycles variables from wrfout (prior state)
print('cycling', cycles, 'into', wrf_ic, 'from', prior_wrf)
os.system(cluster.ncks+' -A -v '+cycles+' '+prior_wrf+' '+wrf_ic)
print('updating', updates, 'in', wrf_ic, 'from', filter_out)
os.system(cluster.ncks+' -A -v '+updates+' '+filter_out+' '+wrf_ic)
print('writing T into THM of wrfinput')
thm_in = nc.Dataset(filter_out, 'r').variables['T'][:]
dsout = nc.Dataset(wrf_ic, 'r+')
dsout.variables['THM'][:] = thm_in
dsout.close()
# clean up
#try:
......
templates/input.nml
+ 10
− 8
View file @ 771bccc7
......@@ -155,7 +155,8 @@
'ACARS_V_WIND_COMPONENT',
'ACARS_TEMPERATURE',
'GPSRO_REFRACTIVITY',
'LAND_SFC_ALTIMETER',
'DOPPLER_RADIAL_VELOCITY',
'RADAR_REFLECTIVITY',
'MSG_4_SEVIRI_RADIANCE',
'MSG_4_SEVIRI_TB',
'MSG_4_SEVIRI_BDRF'
......@@ -177,7 +178,7 @@
lowest_reflectivity_fwd_op = -10.0,
max_radial_vel_obs = 1000000,
allow_wet_graupel = .false.,
microphysics_type = 2 ,
microphysics_type = 5 ,
allow_dbztowt_conv = .false.,
dielectric_factor = 0.224,
n0_rain = 8.0e6,
......@@ -218,6 +219,7 @@
'PSFC', 'QTY_SURFACE_PRESSURE', 'TYPE_PSFC', 'UPDATE','999',
'T2', 'QTY_2M_TEMPERATURE', 'TYPE_T', 'UPDATE','999',
'TSK', 'QTY_SKIN_TEMPERATURE', 'TYPE_T', 'UPDATE','999',
'REFL_10CM','QTY_RADAR_REFLECTIVITY','TYPE_REFL', 'UPDATE','999',
wrf_state_bounds = 'QVAPOR','0.0','NULL','CLAMP',
'QRAIN', '0.0','NULL','CLAMP',
'QCLOUD','0.0','NULL','CLAMP',
......@@ -298,10 +300,10 @@
&obs_diag_nml
obs_sequence_name = '',
obs_sequence_list = 'obsdiag_inputlist.txt',
first_bin_center = 2008, 7,30,11, 0, 0 ,
last_bin_center = 2008, 7,30,16, 0, 0 ,
bin_separation = 0, 0, 0, 0,15, 0 ,
bin_width = 0, 0, 0, 0,15, 0 ,
first_bin_center = 2008, 7,30,10, 0, 0 ,
last_bin_center = 2008, 7,30,18, 0, 0 ,
bin_separation = 0, 0, 0, 0,30, 0 ,
bin_width = 0, 0, 0, 0,30, 0 ,
time_to_skip = 0, 0, 0, 0, 0, 0 ,
max_num_bins = 1000,
trusted_obs = 'null',
......@@ -314,7 +316,7 @@
print_mismatched_locs = .false.,
create_rank_histogram = .true.,
outliers_in_histogram = .true.,
use_zero_error_obs = .false.,
use_zero_error_obs = .true.,
verbose = .false.
/
......@@ -332,7 +334,7 @@
&obs_seq_to_netcdf_nml
obs_sequence_name = '',
obs_sequence_list = 'obsdiag_inputlist.txt',
append_to_netcdf = .false.,
append_to_netcdf = .true.,
lonlim1 = 0.0,
lonlim2 = 360.0,
latlim1 = -90.0,
......
templates/input.prioronly.nml 0 → 100644
+ 572
− 0
View file @ 771bccc7
&perfect_model_obs_nml
read_input_state_from_file = .true.
single_file_in = .false.
input_state_files = 'wrfout_d01'
init_time_days = -1
init_time_seconds = -1
write_output_state_to_file = .false.
single_file_out = .false.
output_state_files = 'perfect_output_d01.nc'
output_interval = 1
obs_seq_in_file_name = "obs_seq.in"
obs_seq_out_file_name = "obs_seq.out"
first_obs_days = -1
first_obs_seconds = -1
last_obs_days = -1
last_obs_seconds = -1
async = 0
adv_ens_command = "../shell_scripts/advance_model.csh"
trace_execution = .true.
output_timestamps = .false.
print_every_nth_obs = -1
output_forward_op_errors = .false.
silence = .false.
/
&filter_nml
async = 0,
adv_ens_command = "../shell_scripts/advance_model.csh",
ens_size = <n_ens>,
obs_sequence_in_name = "obs_seq_all.out",
obs_sequence_out_name = "obs_seq.final",
input_state_file_list = "input_list.txt"
output_state_file_list = "output_list.txt"
init_time_days = -1,
init_time_seconds = -1,
first_obs_days = -1,
first_obs_seconds = -1,
last_obs_days = -1,
last_obs_seconds = -1,
num_output_state_members = <n_ens>,
num_output_obs_members = <n_ens>,
output_interval = 1,
num_groups = 1,
distributed_state = .true.
compute_posterior = .false.
output_forward_op_errors = .false.,
output_timestamps = .false.,
trace_execution = .false.,
stages_to_write = 'preassim'
output_members = .false.
output_mean = .false.
output_sd = .false.
write_all_stages_at_end = .false.
inf_flavor = 0, 0,
inf_initial_from_restart = .true., .false.,
inf_sd_initial_from_restart = .true., .false.,
inf_initial = 1.0, 1.00,
inf_lower_bound = 1.0, 1.0,
inf_upper_bound = 1000000.0, 1000000.0,
inf_damping = 0.9, 1.0,
inf_sd_initial = 0.6, 0.0,
inf_sd_lower_bound = 0.6, 0.0,
inf_sd_max_change = 1.05, 1.05,
/
&quality_control_nml
input_qc_threshold = 3.0,
outlier_threshold = 3.0,
enable_special_outlier_code = .false.
/
&fill_inflation_restart_nml
write_prior_inf = .false.
prior_inf_mean = 1.00
prior_inf_sd = 0.6
write_post_inf = .false.
post_inf_mean = 1.00
post_inf_sd = 0.6
input_state_files = 'wrfinput_d01', 'wrfinput_d02'
single_file = .false.
verbose = .false.
/
&smoother_nml
num_lags = 0,
start_from_restart = .false.,
output_restart = .false.,
restart_in_file_name = 'smoother_ics',
restart_out_file_name = 'smoother_restart',
/
# cutoff is in radians; for the earth, 0.05 is about 300 km.
# cutoff is defined to be the half-width of the localization radius,
# so 0.05 radians for cutoff is about an 600 km effective
# localization radius, where the influence of an obs decreases
# to ~half at 300 km, and ~0 at the edges of the area.
&assim_tools_nml
filter_kind = 1,
cutoff = 0.0001,
sort_obs_inc = .false.,
spread_restoration = .false.,
sampling_error_correction = .false.,
adaptive_localization_threshold = -1,
output_localization_diagnostics = .false.,
localization_diagnostics_file = 'localization_diagnostics',
convert_all_state_verticals_first = .true.
convert_all_obs_verticals_first = .true.
print_every_nth_obs = 0,
/
&cov_cutoff_nml
select_localization = 1,
/
&obs_sequence_nml
write_binary_obs_sequence = .false.,
/
&preprocess_nml
overwrite_output = .true.,
input_obs_kind_mod_file = '../../../assimilation_code/modules/observations/DEFAULT_obs_kind_mod.F90',
output_obs_kind_mod_file = '../../../assimilation_code/modules/observations/obs_kind_mod.f90',
input_obs_def_mod_file = '../../../observations/forward_operators/DEFAULT_obs_def_mod.F90',
output_obs_def_mod_file = '../../../observations/forward_operators/obs_def_mod.f90',
input_files = '../../../observations/forward_operators/obs_def_reanalysis_bufr_mod.f90',
'../../../observations/forward_operators/obs_def_radar_mod.f90',
'../../../observations/forward_operators/obs_def_metar_mod.f90',
'../../../observations/forward_operators/obs_def_dew_point_mod.f90',
'../../../observations/forward_operators/obs_def_rel_humidity_mod.f90',
'../../../observations/forward_operators/obs_def_altimeter_mod.f90',
'../../../observations/forward_operators/obs_def_gps_mod.f90',
'../../../observations/forward_operators/obs_def_vortex_mod.f90',
'../../../observations/forward_operators/obs_def_gts_mod.f90',
'../../../observations/forward_operators/obs_def_rttov_mod.f90',
/
&obs_kind_nml
assimilate_these_obs_types = 'RADIOSONDE_TEMPERATURE',
'RADIOSONDE_U_WIND_COMPONENT',
'RADIOSONDE_V_WIND_COMPONENT',
'SAT_U_WIND_COMPONENT',
'SAT_V_WIND_COMPONENT',
'AIRCRAFT_U_WIND_COMPONENT',
'AIRCRAFT_V_WIND_COMPONENT',
'AIRCRAFT_TEMPERATURE',
'ACARS_U_WIND_COMPONENT',
'ACARS_V_WIND_COMPONENT',
'ACARS_TEMPERATURE',
'GPSRO_REFRACTIVITY',
'DOPPLER_RADIAL_VELOCITY',
'RADAR_REFLECTIVITY',
'MSG_4_SEVIRI_RADIANCE',
'MSG_4_SEVIRI_TB',
'MSG_4_SEVIRI_BDRF'
evaluate_these_obs_types = 'RADIOSONDE_SPECIFIC_HUMIDITY',
/
# Notes for obs_def_radar_mod_nml:
# (1) Reflectivity limit can be applied to observations and/or forward operator.
# (2) The default constants below match the WRF defaults. They will need to
# be changed for other cases, depending on which microphysics scheme is used.
#
&obs_def_radar_mod_nml
apply_ref_limit_to_obs = .false.,
reflectivity_limit_obs = -10.0,
lowest_reflectivity_obs = -10.0,
apply_ref_limit_to_fwd_op = .false.,
reflectivity_limit_fwd_op = -10.0,
lowest_reflectivity_fwd_op = -10.0,
max_radial_vel_obs = 1000000,
allow_wet_graupel = .false.,
microphysics_type = 5 ,
allow_dbztowt_conv = .false.,
dielectric_factor = 0.224,
n0_rain = 8.0e6,
n0_graupel = 4.0e6,
n0_snow = 3.0e6,
rho_rain = 1000.0,
rho_graupel = 400.0,
rho_snow = 100.0,
/
# Notes for model_nml:
# (1) vert_localization_coord must be one of:
# 1 = model level
# 2 = pressure
# 3 = height
# 4 = scale height
# set default_state_variables to .false. to use the explicit list.
# otherwise it uses a hardcoded default list: U, V, W, PH, T, MU, QV only.
# see ../wrf_state_variables_table for a full list of what wrf fields are
# supported in the DART state vector, and what settings should be used here.
# 'UPDATE' and 'NO_COPY_BACK' are supported in the 4th column; 'NO_UPDATE' is
# not yet supported.
&model_nml
default_state_variables = .false.,
wrf_state_variables = 'U', 'QTY_U_WIND_COMPONENT', 'TYPE_U', 'UPDATE','999',
'V', 'QTY_V_WIND_COMPONENT', 'TYPE_V', 'UPDATE','999',
'W', 'QTY_VERTICAL_VELOCITY', 'TYPE_W', 'UPDATE','999',
'PH', 'QTY_GEOPOTENTIAL_HEIGHT', 'TYPE_GZ', 'UPDATE','999',
'T', 'QTY_POTENTIAL_TEMPERATURE','TYPE_T', 'UPDATE','999',
'MU', 'QTY_PRESSURE', 'TYPE_MU', 'UPDATE','999',
'QVAPOR','QTY_VAPOR_MIXING_RATIO', 'TYPE_QV', 'UPDATE','999',
'QICE', 'QTY_ICE_MIXING_RATIO', 'TYPE_QI', 'UPDATE','999',
'QCLOUD','QTY_CLOUDWATER_MIXING_RATIO','TYPE_QC', 'UPDATE','999',
'CLDFRA','QTY_CLOUD_FRACTION', 'TYPE_CFRAC','UPDATE','999',
'PSFC', 'QTY_SURFACE_PRESSURE', 'TYPE_PSFC', 'UPDATE','999',
'T2', 'QTY_2M_TEMPERATURE', 'TYPE_T', 'UPDATE','999',
'TSK', 'QTY_SKIN_TEMPERATURE', 'TYPE_T', 'UPDATE','999',
'REFL_10CM','QTY_RADAR_REFLECTIVITY','TYPE_REFL', 'UPDATE','999',
wrf_state_bounds = 'QVAPOR','0.0','NULL','CLAMP',
'QRAIN', '0.0','NULL','CLAMP',
'QCLOUD','0.0','NULL','CLAMP',
'QICE','0.0','NULL','CLAMP',
'CLDFRA','0.0','1.0','CLAMP',
num_domains = 1,
calendar_type = 3,
assimilation_period_seconds = 21600,
vert_localization_coord = 3,
center_search_half_length = 500000.,
center_spline_grid_scale = 10,
sfc_elev_max_diff = -1.0,
circulation_pres_level = 80000.0,
circulation_radius = 108000.0,
allow_obs_below_vol = .false.
/
# vert_normalization_X is amount of X equiv to 1 radian in horiz.
# vert localization is 'cutoff' times the pressure/height/levels,
# only if horiz_dist_only is set to .false. in the namelist below.
# the default nlon/nlat should be good for most experiments. it sets
# an internal structure that speeds up searches. don't change it
# based on your grid size. nlon must be an odd number.
&location_nml
horiz_dist_only = .false.,
vert_normalization_pressure = 6666666.7,
vert_normalization_height = 5000000.0,
vert_normalization_level = 2666.7,
vert_normalization_scale_height = 10.0,
approximate_distance = .false.,
nlon = 71,
nlat = 36,
output_box_info = .false.,
/
&utilities_nml
TERMLEVEL = 1,
module_details = .false.,
logfilename = 'dart_log.out',
nmlfilename = 'dart_log.nml',
write_nml = 'file',
/
&mpi_utilities_nml
/
&reg_factor_nml
select_regression = 1,
input_reg_file = "time_mean_reg",
save_reg_diagnostics = .true.,
reg_diagnostics_file = "reg_diagnostics",
/
# layout = 2 spreads the IO tasks across the nodes.
# This can greatly improve the performance in IO if
# tasks_per_node is set to match your hardware
&ensemble_manager_nml
layout = 2,
tasks_per_node = 48
/
&obs_def_gps_nml
max_gpsro_obs = 100000,
/
&obs_def_tpw_nml
/
# The times in the namelist for the obs_diag program are vectors
# that follow the following sequence:
# year month day hour minute second
# max_num_bins can be used to specify a fixed number of bins,
# in which case last_bin_center should be safely in the future.
#
# Acceptable latitudes range from [-90, 90]
# Acceptable longitudes range from [ 0, Inf]
&obs_diag_nml
obs_sequence_name = '',
obs_sequence_list = 'obsdiag_inputlist.txt',
first_bin_center = 2008, 7,30,10, 0, 0 ,
last_bin_center = 2008, 7,30,18, 0, 0 ,
bin_separation = 0, 0, 0, 0,30, 0 ,
bin_width = 0, 0, 0, 0,30, 0 ,
time_to_skip = 0, 0, 0, 0, 0, 0 ,
max_num_bins = 1000,
trusted_obs = 'null',
Nregions = 1,
lonlim1 = 0.0, 0.0, 0.0, 235.0,
lonlim2 = 360.0, 360.0, 360.0, 295.0,
latlim1 = 20.0, -80.0, -20.0, 25.0,
latlim2 = 80.0, -20.0, 20.0, 55.0,
reg_names = 'all',
print_mismatched_locs = .false.,
create_rank_histogram = .true.,
outliers_in_histogram = .true.,
use_zero_error_obs = .true.,
verbose = .false.
/
&schedule_nml
calendar = 'Gregorian',
first_bin_start = 1601, 1, 1, 0, 0, 0,
first_bin_end = 2999, 1, 1, 0, 0, 0,
last_bin_end = 2999, 1, 1, 0, 0, 0,
bin_interval_days = 1000000,
bin_interval_seconds = 0,
max_num_bins = 1000,
print_table = .true.,
/
&obs_seq_to_netcdf_nml
obs_sequence_name = '',
obs_sequence_list = 'obsdiag_inputlist.txt',
append_to_netcdf = .true.,
lonlim1 = 0.0,
lonlim2 = 360.0,
latlim1 = -90.0,
latlim2 = 90.0,
verbose = .false.,
/
# There is one GIGANTIC difference between the obsdef_mask.txt and .nc
# The netCDF file intentionally ignores the effect of nTmin/nTmax.
# The netCDF file has ALL matching stations, regardless of temporal coverage.
&obs_seq_coverage_nml
obs_sequences = ''
obs_sequence_list = 'obs_coverage_list.txt'
obs_of_interest = 'METAR_U_10_METER_WIND'
textfile_out = 'METAR_U_10_METER_WIND_obsdef_mask.txt'
netcdf_out = 'METAR_U_10_METER_WIND_obsdef_mask.nc'
first_analysis = 2003, 1, 1, 0, 0, 0
last_analysis = 2003, 1, 2, 0, 0, 0
forecast_length_days = 1
forecast_length_seconds = 0
verification_interval_seconds = 21600
temporal_coverage_percent = 100.0
lonlim1 = 0.0
lonlim2 = 360.0
latlim1 = -90.0
latlim2 = 90.0
verbose = .true.
/
# selections_file is a list of obs_defs output
# from the obs_seq_coverage utility.
&obs_selection_nml
filename_seq = 'obs_seq.out',
filename_seq_list = '',
filename_out = 'obs_seq.processed',
selections_file = 'obsdef_mask.txt',
selections_is_obs_seq = .false.,
print_only = .false.,
calendar = 'gregorian',
/
&obs_seq_verify_nml
obs_sequences = ''
obs_sequence_list = 'obs_verify_list.txt'
input_template = 'obsdef_mask.nc'
netcdf_out = 'forecast.nc'
obtype_string = 'METAR_U_10_METER_WIND'
print_every = 10000
verbose = .true.
debug = .false.
/
&obs_sequence_tool_nml
num_input_files = 1,
filename_seq = 'obs_seq.out',
filename_out = 'obs_seq.processed',
first_obs_days = -1,
first_obs_seconds = -1,
last_obs_days = -1,
last_obs_seconds = -1,
obs_types = '',
keep_types = .false.,
print_only = .false.,
min_lat = -90.0,
max_lat = 90.0,
min_lon = 0.0,
max_lon = 360.0,
/
&replace_wrf_fields_nml
debug = .false.,
fail_on_missing_field = .false.,
fieldnames = "SNOWC",
"ALBBCK",
"TMN",
"TSK",
"SH2O",
"SMOIS",
"SEAICE",
"HGT_d01",
"TSLB",
"SST",
"SNOWH",
"SNOW",
fieldlist_file = '',
/
&obs_common_subset_nml
num_to_compare_at_once = 2,
filename_seq = 'obs_seq1.final', 'obs_seq2.final',
filename_seq_list = '',
filename_out_suffix = '.common' ,
calendar = 'Gregorian',
print_every = 1000,
dart_qc_threshold = 3,
print_only = .false.,
/
&wrf_dart_to_fields_nml
include_slp = .true.,
include_wind_components = .true.,
include_height_on_pres = .true.,
include_temperature = .true.,
include_rel_humidity = .true.,
include_surface_fields = .false.,
include_sat_ir_temp = .false.,
pres_levels = 70000.,
/
&ncepobs_nml
year = 2010,
month = 06,
day = 00,
tot_days = 1,
max_num = 1000000,
ObsBase = 'temp_obs.',
select_obs = 0,
ADPUPA = .false.,
AIRCAR = .false.,
AIRCFT = .false.,
SATEMP = .false.,
SFCSHP = .false.,
ADPSFC = .false.,
SATWND = .true.,
obs_U = .false.,
obs_V = .false.,
obs_T = .false.,
obs_PS = .false.,
obs_QV = .false.,
daily_file = .true.,
obs_time = .false.,
lat1 = 10.00,
lat2 = 60.00,
lon1 = 210.0,
lon2 = 300.0
/
&prep_bufr_nml
obs_window_upa = 1.0,
obs_window_air = 1.0,
obs_window_cw = 1.0,
otype_use = 242.0, 243.0, 245.0, 246.0, 251.0, 252.0, 253.0, 257.0, 259.0
qctype_use = 0, 1, 2, 3, 4, 9, 15
/
&convert_cosmic_gps_nml
gpsro_netcdf_file = '',
gpsro_netcdf_filelist = 'flist',
gpsro_out_file = 'obs_seq.gpsro',
local_operator = .true.,
obs_levels = 0.22, 0.55, 1.1, 1.8, 2.7, 3.7, 4.9,
6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0,
ray_ds = 5000.0,
ray_htop = 13000.1,
/
&wrf_obs_preproc_nml
file_name_input = 'obs_seq20110901'
file_name_output = 'obs_seq.europe.prev'
overwrite_obs_time = .false.
obs_boundary = 0.0
increase_bdy_error = .false.
maxobsfac = 2.5
obsdistbdy = 1.0
sfc_elevation_check = .false.
sfc_elevation_tol = 3000.0
obs_pressure_top = 0.0
obs_height_top = 2.0e10
include_sig_data = .true.
tc_sonde_radii = -1.0
superob_aircraft = .true.
aircraft_horiz_int = 800.0
aircraft_pres_int = 25000.0
superob_sat_winds = .true.
sat_wind_horiz_int = 800.0
sat_wind_pres_int = 25000.0
overwrite_ncep_satwnd_qc = .false.
overwrite_ncep_sfc_qc = .false.
/
! sonde_extra = 'obs_seq.rawin'
! land_sfc_extra = 'obs_seq.land_sfc'
! metar_extra = 'obs_seq.metar'
! marine_sfc_extra = 'obs_seq.marine'
! sat_wind_extra = 'obs_seq.satwnd'
! profiler_extra = 'obs_seq.profiler'
! gpsro_extra = 'obs_seq.gpsro'
! acars_extra = 'obs_seq.acars'
! trop_cyclone_extra = 'obs_seq.tc'
&state_vector_io_nml
single_precision_output = .true.,
/
&compare_states_nml
/
&closest_member_tool_nml
input_restart_file_list = 'input_file_list_d01.txt',
output_file_name = 'closest_results.txt'
ens_size = 3,
single_restart_file_in = .false.,
difference_method = 4,
use_only_qtys = 'QTY_U_WIND_COMPONENT'
/
# To test both domains, you must change 'model_nml:num_domains = 2'
&model_mod_check_nml
input_state_files = 'wrfinput_d01', 'wrfinput_d02'
output_state_files = 'mmc_output1.nc', 'mmc_output2.nc'
test1thru = 0
run_tests = 1,2,3,4,5
x_ind = 87370
loc_of_interest = 231.0, 40.0, 10.0
quantity_of_interest = 'QTY_U_WIND_COMPONENT'
interp_test_dlon = 0.1
interp_test_dlat = 0.1
interp_test_dvert = 1000.0
interp_test_lonrange = 250.0, 260.0
interp_test_latrange = 30.0, 45.0
interp_test_vertrange = 2000.0, 4000.0
interp_test_vertcoord = 'VERTISHEIGHT'
verbose = .false.
/
templates/namelist.input
+ 1
− 0
View file @ 771bccc7
......@@ -90,6 +90,7 @@
tke_adv_opt = 1, 1, 1,
non_hydrostatic = .true., .true., .true.,
mix_full_fields = .true., .true., .true.,
use_theta_m = 0,
/
&bdy_control
......
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