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Commit 82135ed9 authored by lkugler's avatar lkugler
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docs, template config

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import os, sys
import datetime as dt
from dartwrf import utils
from config.cfg import exp
"""Configuration name docs
When coding, use attributes of a dictionary like this:
$ from cfg import exp, cluster
$ path = cluster.archivedir
attribute name | description
------------------------------------------------------
name any string (currently unused)
python path of python version to use
python_enstools path of python version to use for verification script (not provided)
ncks path to 'ncks' program; type 'which ncks' to find the path,
if it doesn't exist, try to load the module first ('module load nco')
ideal path to WRF's ideal.exe
wrfexe path to WRF's wrf.exe
wrf_rundir_base path for temporary files for WRF
dart_rundir_base path for temporary files for DART
archive_base path for long-time output storage
srcdir path to where WRF has been compiled, including the 'run' folder of WRF, e.g. /home/WRF-4.3/run
dart_srcdir path to DART compile directory, e.g. /home/DART-9.11.9/models/wrf/work
rttov_srcdir path to RTTOV compile directory, e.g. /home/RTTOV13/rtcoef_rttov13/
scriptsdir path where DART-WRF scripts reside, e.g. /home/DART-WRF/scripts
namelist path to a namelist template; strings like <hist_interval>, will be overwritten in scripts/prepare_namelist.py
run_WRF path to script which runs WRF on a node of the cluster
obs_impact_filename path to obs_impact_filename (see DART guide; module assim_tools_mod and program obs_impact_tool)
geo_em path to NetCDF file of WRF domain (see WRF guide)
slurm_cfg python dictionary, containing options of SLURM
defined in SLURM docs (https://slurm.schedmd.com/sbatch.html)
this configuration can be overwritten later on, for example:
'dict(cluster.slurm_cfg, **cfg_update)' where
'cfg_update = {"nodes": "2"}'
"""
cluster = utils.ClusterConfig(exp)
cluster.name = 'srvx1'
cluster.max_nproc = 6
cluster.use_slurm = False
# binaries
cluster.python = 'python'
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.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.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.scriptsdir = utils.userhome+'/AdvDA23/DART-WRF/dartwrf/'
cluster.geo_em = '/users/students/lehre/advDA_s2023/data/geo_em.d01.nc'
# templates/run scripts
cluster.namelist = cluster.scriptsdir+'/../templates/namelist.input'
cluster.run_WRF = cluster.scriptsdir+'/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"}
from dartwrf import utils from dartwrf import utils
exp = utils.Experiment() exp = utils.Experiment()
exp.expname = "test_newcode" #exp_v1.22_P2_rr_VIS_obs10_loc20_oe3" exp.expname = "template_experiment"
exp.model_dx = 2000 exp.model_dx = 2000
exp.n_ens = 10 exp.n_ens = 40
exp.superob_km = False # False or int (spatial averaging of observations) exp.superob_km = False # False or int (spatial averaging of observations, unit: km)
exp.use_existing_obsseq = False # False or pathname (use precomputed obs_seq.out files) exp.use_existing_obsseq = False # False or pathname (use precomputed obs_seq.out files)
#exp.use_existing_obsseq = '/users/students/lehre/advDA_s2023/dartwrf_tutorial/very_cold_observation.out' #exp.use_existing_obsseq = '/users/students/lehre/advDA_s2023/dartwrf_tutorial/very_cold_observation.out'
...@@ -17,7 +17,7 @@ exp.input_profile = '/mnt/jetfs/home/lkugler/data/initial_profiles/wrf/ens/2022- ...@@ -17,7 +17,7 @@ exp.input_profile = '/mnt/jetfs/home/lkugler/data/initial_profiles/wrf/ens/2022-
exp.dart_nml = {'&assim_tools_nml': exp.dart_nml = {'&assim_tools_nml':
dict(filter_kind='1', dict(filter_kind='1',
sampling_error_correction='.true.', sampling_error_correction='.false.',
# obs_impact_filename='/jetfs/home/lkugler/DART-WRF/templates/impactfactor_T.txt', # obs_impact_filename='/jetfs/home/lkugler/DART-WRF/templates/impactfactor_T.txt',
), ),
'&filter_nml': '&filter_nml':
...@@ -57,10 +57,10 @@ exp.dart_nml = {'&assim_tools_nml': ...@@ -57,10 +57,10 @@ exp.dart_nml = {'&assim_tools_nml':
vis = dict(var_name='VIS 0.6µm', unit='[1]', vis = dict(var_name='VIS 0.6µm', unit='[1]',
kind='MSG_4_SEVIRI_BDRF', sat_channel=1, kind='MSG_4_SEVIRI_BDRF', sat_channel=1,
n_obs=961, obs_locations='square_array_evenly_on_grid', n_obs=256, obs_locations='square_array_evenly_on_grid',
# n_obs=1, obs_locations=[(44.141, -0.99)], # n_obs=1, obs_locations=[(44.141, -0.99)],
error_generate=0.03, error_assimilate=0.03, error_generate=0.03, error_assimilate=0.03,
loc_horiz_km=20) loc_horiz_km=10)
wv62 = dict(var_name='Brightness temperature WV 6.2µm', unit='[K]', wv62 = dict(var_name='Brightness temperature WV 6.2µm', unit='[K]',
kind='MSG_4_SEVIRI_TB', sat_channel=5, kind='MSG_4_SEVIRI_TB', sat_channel=5,
......
...@@ -11,7 +11,53 @@ class Experiment(object): ...@@ -11,7 +11,53 @@ class Experiment(object):
pass pass
class ClusterConfig(object): class ClusterConfig(object):
"""Collection of variables regarding the cluster configuration""" """Collection of variables regarding the cluster configuration
Configuration name docs
When coding, use configuration settings like this:
$ from exp_config import exp
$ from cluster_config import cluster
$ path = cluster.archivedir
Attributes:
name (str): Name of the cluster
max_nproc (int): Maximum number of processors that can be used
use_slurm (bool): If True, use SLURM to submit jobs
size_jobarray (int): Size of SLURM job array
python (str): Path to python executable
python_verif (str): Path to python executable for verification
ncks (str): Path to ncks executable
ideal (str): Path to ideal.exe
wrfexe (str): Path to wrf.exe
dart_modules (str): Modules to load for DART
wrf_modules (str): Modules to load for WRF
wrf_rundir_base (str): Path to temporary files for WRF
dart_rundir_base (str): Path to temporary files for DART
archive_base (str): Path to long-time output storage
srcdir (str): Path to where WRF has been compiled, including the 'run' folder of WRF, e.g. /home/WRF-4.3/run
dart_srcdir (str): Path to DART compile directory, e.g. /home/DART-9.11.9/models/wrf/work
rttov_srcdir (str): Path to RTTOV compile directory, e.g. /home/RTTOV13/rtcoef_rttov13/
scriptsdir (str): Path where DART-WRF scripts reside, e.g. /home/DART-WRF/scripts
namelist (str): Path to a WRF namelist template;
strings like <hist_interval>, will be overwritten in scripts/prepare_namelist.py
run_WRF (str): Path to script which runs WRF on a node of the cluster
overwrite_coordinates_with_geo_em (bool): If WRF ideal: path to NetCDF file of WRF domain (see WRF guide)
if WRF real: set to False
obs_impact_filename (str): Path to obs_impact_filename (see DART guide; module assim_tools_mod and program obs_impact_tool)
slurm_cfg python dictionary, containing options of SLURM
defined in SLURM docs (https://slurm.schedmd.com/sbatch.html)
this configuration can be overwritten later on, for example:
'dict(cluster.slurm_cfg, **cfg_update)' where
'cfg_update = {"nodes": "2"}'
"""
def __init__(self, exp): def __init__(self, exp):
self.exp = exp # makes derived properties available self.exp = exp # makes derived properties available
......
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