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Commit 2bf8a17d authored by lkugler's avatar lkugler
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Merge branch 'consistent_config' of https://github.com/lkugler/DART-WRF into consistent_config

parents 4a54ee43 21c50dcc
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"""
This configuration file is designed for the course Advanced Data Assimilation at the University of Vienna.
Copy and customize it as you wish.
"""
from dartwrf.utils import Experiment
exp = Experiment()
......@@ -6,18 +10,16 @@ exp.model_dx = 2000
exp.n_ens = 4
exp.do_quality_control = False
# path to the nature run, where we take observations from
#exp.nature_wrfout_pattern = '/jetfs/home/lkugler/data/sim_archive/exp_v1.18_P1_nature+1/*/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
#exp.nature_wrfout_pattern = '/jetfs/home/lkugler/data/sim_archive/exp_v1.18_P1_nature/*/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
exp.nature_wrfout_pattern = '/jetfs/home/lkugler/data/sim_archive/exp_v1.19_P3_wbub7_nat/*/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
# Path to the nature run. From there, observations are generated. Wildcards "*" are allowed in this path.
exp.nature_wrfout_pattern = '/users/students/lehre/advDA_s2023/data/sample_nature/wrfout_d01_%Y-%m-%d_%H:%M:%S'
# Path to sounding profiles for ensemble initialization. Not used in the Advanced DA course.
exp.input_profile = '/mnt/jetfs/home/lkugler/data/initial_profiles/wrf/ens/2022-03-31/raso.fc.<iens>.wrfprof'
# Configuration of DART. For details see the DART or DART-WRF documentation.
exp.dart_nml = {'&assim_tools_nml':
dict(filter_kind='1',
sampling_error_correction='.true.',
# obs_impact_filename='/jetfs/home/lkugler/DART-WRF/templates/impactfactor_T.txt',
),
'&filter_nml':
dict( ens_size=exp.n_ens,
......@@ -88,9 +90,12 @@ exp.dart_nml = {'&assim_tools_nml':
# n_obs can be 22500: 2km, 5776: 4km, 121: 30km, 256:16x16 (20km); 961: 10km resoltn
# if radar: then n_obs is for each observation height level
oeinf = 4.**.5
# n_obs is the number of observations
# currently allowed values are 22500 for one observation approximately every 2km; 5776 for 4km, and 961 for 10km resolution; 256 for 20km; 121 for 30km
# Note for radar, n_obs is the number of observations at each observation height level
# oeinf is the observation inflation factor (1 means no inflation)
oeinf = 1
vis = dict(var_name='VIS 0.6µm', unit='[1]',
kind='MSG_4_SEVIRI_BDRF', sat_channel=1,
......
......@@ -13,25 +13,23 @@ cluster.python_verif = '/users/staff/lkugler/miniconda3/bin/python'
cluster.ncks = '/home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.5.0/nco-5.0.1-ntu44aoxlvwtr2tsrobfr4lht7cpvccf/bin/ncks'
cluster.ideal = '' #/jetfs/home/lkugler/bin/ideal-v4.3_v1.22.exe'
cluster.wrfexe = '' #/jetfs/home/lkugler/bin/wrf-v4.3_v1.22.exe'
cluster.dart_modules = ''
cluster.dart_modules = 'pip install scipy; module purge; module load netcdf-fortran/4.5.2-gcc-8.5.0-MPI3.1.6; '
cluster.wrf_modules = ''
# paths for data output
cluster.wrf_rundir_base = utils.userhome+'/AdvDA23/run_WRF/' # path for temporary files
cluster.dart_rundir_base = utils.userhome+'/AdvDA23/run_DART/' # path for temporary files
cluster.wrf_rundir_base = utils.userhome+'/AdvDA/run_WRF/' # path for temporary files
cluster.dart_rundir_base = utils.userhome+'/AdvDA/run_DART/' # path for temporary files
cluster.archive_base = utils.userhome+'/data/sim_archive/'
# paths used as input
cluster.srcdir = '/users/staff/lkugler/AdvDA23/DART/WRF-4.3/run'
cluster.dart_srcdir = '/users/students/lehre/advDA_s2023/DART/models/wrf/work'
cluster.rttov_srcdir = '/users/students/lehre/advDA_s2023/RTTOV13/rtcoef_rttov13/'
cluster.dartwrf_dir = utils.userhome+'/AdvDA23/DART-WRF/'
cluster.dartwrf_dir = utils.userhome+'/AdvDA/DART-WRF/'
cluster.geo_em_for_WRF_ideal = '/users/students/lehre/advDA_s2023/data/geo_em.d01.nc'
# templates/run scripts
cluster.namelist = cluster.dartwrf_dir+'/../templates/namelist.input'
cluster.run_WRF = cluster.dartwrf_dir+'/run_ens.jet.sh'
cluster.slurm_cfg = {"account": "lkugler", "partition": "compute",
"ntasks": "1", "ntasks-per-core": "1", "mem": "50G",
"mail-type": "FAIL", "mail-user": "lukas.kugler@univie.ac.at"}
cluster.slurm_cfg = None
......@@ -612,7 +612,7 @@ if __name__ == "__main__":
"""Assimilate observations
Example:
python assim_synth_obs.py 2008-08-07_13:00 2008-08_12:00 2008-08-07_13:00 /path/to/experiment/
python assimilate.py 2008-08-07_13:00 2008-08_12:00 2008-08-07_13:00 /path/to/experiment/
"""
time = dt.datetime.strptime(sys.argv[1], "%Y-%m-%d_%H:%M")
......
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