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cfg.py

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    • cfg.py 4.98 KiB
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    from dartwrf import utils
from config import clusters  # from . = problem in archivedir
cluster = clusters.jet  # change cluster configuration here

exp = utils.ExperimentConfiguration()
exp.expname = "test_jet" #"exp_v1.22_P3_wbub7_WV62_obs10_loc20_oe1"
exp.model_dx = 2000
exp.n_ens = 40
exp.n_nodes = 40

exp.filter_kind = 1
exp.inflation = True
exp.sec = True
exp.reject_smallFGD = False
exp.cov_loc_vert_km_horiz_km = False #(3, 20)
exp.superob_km = False  # False or int (spatial averaging of observations)

exp.use_existing_obsseq = False  # False or pathname (use precomputed obs_seq.out files)
#exp.use_existing_obsseq = '/jetfs/home/lkugler/data/sim_archive/exp_v1.21_P3_wbub7_VIS_obs10_loc20/obs_seq_out/2008-07-30_%H:%M_obs_seq.out'  
#exp.use_existing_obsseq = '/gpfs/data/fs71386/lkugler/sim_archive/exp_v1.21_P3_wbub7_REFL2D_obs10_loc20_oe5/obs_seq_out/2008-07-30_%H:%M_obs_seq.out'
#exp.use_existing_obsseq = '/gpfs/data/fs71386/lkugler/sim_archive/exp_v1.21_P2_rr_VIS_obs20_loc4/obs_seq_out/2008-07-30_%H:%M_obs_seq.out'


#exp.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.19_P5+su_nat2/2008-07-30_07:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
exp.nature_wrfout = '/jetfs/home/lkugler/data/sim_archive/exp_v1.19_P3_wbub7_nat/2008-07-30_12:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
#exp.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.19_Pwbub5_nat/2008-07-30_12:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
#exp.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.18_P1_nature/2008-07-30_06:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
#exp.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.19_P4_nat/2008-07-30_07:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'

#exp.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/2021-05-04/raso.nat.001.wrfprof'
#exp.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/2021-05-04/raso.nat.<iens>.wrfprof'
#exp.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/2021-05-04/raso.fc.<iens>.wrfprof'
#exp.input_profile = '/home/fs71386/lkugler/data/initial_profiles/wrf/ens/large_mean_error/raso.nat.<iens>.wrfprof'
exp.input_profile = '/jetfs/home/lkugler/data/initial_profiles/wrf/ens/2022-03-31/raso.fc.<iens>.wrfprof'
#exp.input_profile = '/gpfs/data/fs71386/lkugler/initial_profiles/wrf/ens/2022-03-31/raso.nat.<iens>.wrfprof'
#exp.input_profile = '/gpfs/data/fs71386/lkugler/initial_profiles/wrf/ens/2022-05-18/raso.fc.<iens>.wrfprof'


# localize vertically, if it has a vertical position
# needs a horizontal scale too, to calculate the vertical normalization
# since you can not specify different vertical localizations for diff. variables

n_obs = 961  # 22500: 2km, 5776: 4km, 121: 30km, 256:16x16 (20km); 961: 10km resoltn # radar: n_obs for each observation height level

vis = dict(plotname='VIS 0.6µm', plotunits='[1]',
           kind='MSG_4_SEVIRI_BDRF', sat_channel=1, n_obs=n_obs, 
           error_generate=0.03, error_assimilate=0.03,
           cov_loc_radius_km=20)

wv62 = dict(plotname='Brightness temperature WV 6.2µm', plotunits='[K]',
            kind='MSG_4_SEVIRI_TB', sat_channel=5, n_obs=n_obs, 
            error_generate=1., error_assimilate=1., 
            cov_loc_radius_km=20)

wv73 = dict(plotname='Brightness temperature WV 7.3µm', plotunits='[K]',
            kind='MSG_4_SEVIRI_TB', sat_channel=6, n_obs=n_obs, 
            error_generate=1., error_assimilate=1., 
            cov_loc_radius_km=10)

ir108 = dict(plotname='Brightness temperature IR 10.8µm', plotunits='[K]',
             kind='MSG_4_SEVIRI_TB', sat_channel=9, n_obs=n_obs, 
             error_generate=5., error_assimilate=10.,
             cov_loc_radius_km=32)

radar = dict(plotname='Radar reflectivity', plotunits='[dBz]',
             kind='RADAR_REFLECTIVITY', n_obs=n_obs, 
             error_generate=2.5, error_assimilate=5,
             heights=range(2000, 14001, 2000),
             cov_loc_radius_km=20)

t = dict(plotname='Temperature', plotunits='[K]',
         kind='RADIOSONDE_TEMPERATURE', n_obs=n_obs,
         error_generate=0.2, error_assimilate=0.4,
         heights=[5000,], #range(1000, 17001, 2000),
         cov_loc_radius_km=4)

q = dict(plotname='Specific humidity', plotunits='[kg/kg]',
         kind='RADIOSONDE_SPECIFIC_HUMIDITY', n_obs=n_obs,
         error_generate=0., error_assimilate=5*1e-5,
         heights=[1000], #range(1000, 17001, 2000),
         cov_loc_radius_km=0.1)

t2m = dict(plotname='SYNOP Temperature', plotunits='[K]',
           kind='SYNOP_TEMPERATURE', n_obs=n_obs, 
           error_generate=0.1, error_assimilate=1.,
           cov_loc_radius_km=20)

psfc = dict(plotname='SYNOP Pressure', plotunits='[Pa]',
            kind='SYNOP_SURFACE_PRESSURE', n_obs=n_obs, 
            error_generate=50., error_assimilate=100.,
            cov_loc_radius_km=32)


exp.observations = [t]
exp.update_vars = ['U', 'V', 'W', 'THM', 'PH', 'MU', 'QVAPOR', 'QCLOUD', 'QICE', 'PSFC']
#exp.update_vars = ['U', 'V', 'W', 'T', 'PH', 'MU', 'QVAPOR', 'PSFC']

# directory paths depend on the name of the experiment
cluster.expname = exp.expname