diff --git a/config/cfg.py b/config/cfg.py
index 0636712223129221510872e7ce30b960dcd371e9..b643e1bf2670580b399293f6d8f8f2e2286ed4f2 100755
--- a/config/cfg.py
+++ b/config/cfg.py
@@ -9,7 +9,7 @@ class ExperimentConfiguration(object):
exp = ExperimentConfiguration()
-exp.expname = "exp_v1.17_Pwbub-1_WV_obs20_loc5"
+exp.expname = "exp_v1.17_P1-1_WV_10z"
exp.model_dx = 2000
exp.n_ens = 40
exp.n_nodes = 10
@@ -17,19 +17,19 @@ exp.n_nodes = 10
# 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
-exp.cov_loc_vert_km_horiz_km = (3, 5)
+exp.cov_loc_vert_km_horiz_km = (2, 20)
-n_obs = 256 #121: 30km, 256:16x16 (20km); 961: 10km resoltn # radar: n_obs for each observation height level
+n_obs = 961 #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=0.06,
- cov_loc_radius_km=7.5)
+ 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=False, #
- cov_loc_radius_km=5)
+ error_generate=1., error_assimilate=False,
+ cov_loc_radius_km=20)
ir108 = dict(plotname='Brightness temperature IR 10.8µm', plotunits='[K]',
kind='MSG_4_SEVIRI_TB', sat_channel=9, n_obs=n_obs,
@@ -39,8 +39,8 @@ ir108 = dict(plotname='Brightness temperature IR 10.8µm', plotunits='[K]',
radar = dict(plotname='Radar reflectivity', plotunits='[dBz]',
kind='RADAR_REFLECTIVITY', n_obs=n_obs,
error_generate=2.5, error_assimilate=5.,
- heights=[7000,], #np.arange(1000, 15001, 1000),
- cov_loc_radius_km=5)
+ heights=np.arange(2000, 14001, 2000),
+ cov_loc_radius_km=20)
t2m = dict(plotname='SYNOP Temperature', plotunits='[K]',
kind='SYNOP_TEMPERATURE', n_obs=n_obs,
@@ -53,9 +53,9 @@ psfc = dict(plotname='SYNOP Pressure', plotunits='[dBz]',
cov_loc_radius_km=32)
-exp.observations = [radar] # 108, wv73, vis]
-exp.update_vars = ['T', 'QVAPOR', 'QCLOUD', 'QICE','CLDFRA']
-#exp.update_vars = ['U', 'V', 'T', 'PH', 'MU', 'QVAPOR', 'QCLOUD', 'QICE', 'TSK', 'CLDFRA']
+exp.observations = [wv73] #radar] # 108, wv73, vis]
+#exp.update_vars = ['T', 'QVAPOR', 'QCLOUD', 'QICE','CLDFRA']
+exp.update_vars = ['U', 'V', 'T', 'PH', 'MU', 'QVAPOR', 'QCLOUD', 'QICE', 'TSK', 'CLDFRA']
# directory paths depend on the name of the experiment
cluster.expname = exp.expname
diff --git a/config/clusters.py b/config/clusters.py
index a51c84b49f8c5e14f2398a9b7537e95654842b4d..8d2709972303374e701dcfcd5238407532ce882f 100755
--- a/config/clusters.py
+++ b/config/clusters.py
@@ -25,6 +25,7 @@ class ClusterConfig(object):
vsc = ClusterConfig()
vsc.name = 'vsc'
vsc.python = '/home/fs71386/lkugler/miniconda3/envs/DART/bin/python'
+vsc.python_enstools = '/home/fs71386/lkugler/miniconda3/envs/enstools/bin/python'
vsc.ncks = '/home/fs71386/lkugler/miniconda3/envs/DART/bin/ncks'
vsc.tmpfiledir = '/gpfs/data/fs71386/lkugler'
vsc.userdir = '/home/fs71386/lkugler'
@@ -34,10 +35,9 @@ vsc.dart_srcdir = '/home/fs71386/lkugler/DART/DART-9.11.9/models/wrf/work'
vsc.dartrundir = '/gpfs/data/fs71386/lkugler/run_DART'
vsc.scriptsdir = '/home/fs71386/lkugler/DART-WRF/scripts/'
-vsc.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.16_Pwbub_nat/2008-07-30_09:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
-#vsc.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/wrfout_d01_%Y-%m-%d_%H:%M:%S'
+vsc.nature_wrfout = '/home/fs71386/lkugler/data/sim_archive/exp_v1.17_P1_nature/2008-07-30_06:00/1/wrfout_d01_%Y-%m-%d_%H:%M:%S'
#vsc.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/from_LMU/raso.nat.<iens>.wrfprof'
-vsc.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/2021-05-04/raso.nat.001.wrfprof'
+vsc.input_profile = '/home/fs71386/lkugler/wrf_profiles/data/wrf/ens/2021-05-04/raso.fc.<iens>.wrfprof'
vsc.ideal = vsc.userdir+'/compile/bin/ideal-v4.2.2_v1.16.exe'
vsc.wrfexe = vsc.userdir+'/compile/bin/wrf-v4.3_v1.16.exe'
@@ -45,7 +45,7 @@ vsc.namelist = vsc.scriptsdir+'/../templates/namelist.input'
vsc.run_WRF = '/home/fs71386/lkugler/DART-WRF/scripts/run_ens.vsc.sh'
vsc.slurm_cfg = {"account": "p71386", "partition": "mem_0384", "qos": "p71386_0384",
- "ntasks": "1", "nodes": "1", "ntasks-per-node": "48", "ntasks-per-core": "1",
+ "nodes": "1", "ntasks": "1", "ntasks-per-node": "48", "ntasks-per-core": "1",
"mail-type": "FAIL", "mail-user": "lukas.kugler@univie.ac.at"}
diff --git a/generate_nature.py b/generate_nature.py
index ca9db9a68124f944fe44115aeaa0187d4eab74d1..bf942d0b69fc1b1aa1ed3414b177ccc335eba803 100755
--- a/generate_nature.py
+++ b/generate_nature.py
@@ -29,32 +29,22 @@ print('starting osse')
backup_scripts()
id = None
-init_time = dt.datetime(2008, 7, 30, 9)
+init_time = dt.datetime(2008, 7, 30, 6)
id = prepare_wrfinput(init_time) # create initial conditions
-# get initial conditions from archive
-integration_end_time = dt.datetime(2008, 7, 30, 12)
-#exppath_arch = '/gpfs/data/fs71386/lkugler/sim_archive/exp_v1.16_P1_40mem'
-#id = update_wrfinput_from_archive(integration_end_time, init_time, exppath_arch, depends_on=id)
+if False:
+ init_time = dt.datetime(2008, 7, 30, 8)
+ # get initial conditions from archive
+ integration_end_time = dt.datetime(2008, 7, 30, 9)
+ exppath_arch = cluster.archivedir #'/gpfs/data/fs71386/lkugler/sim_archive/exp_v1.16_P1_40mem'
+ id = update_wrfinput_from_archive(integration_end_time, init_time, exppath_arch, depends_on=id)
+
+ #id = wrfinput_insert_wbubble(depends_on=id)
+
-id = wrfinput_insert_wbubble(depends_on=id)
+begin = dt.datetime(2008, 7, 30, 6)
+end = dt.datetime(2008, 7, 31, 0)
-begin = dt.datetime(2008, 7, 30, 9, 0)
-end = dt.datetime(2008, 7, 30, 12, 0)
-
-# whole forecast timespan
-hist_interval = 5
-radt = 5
-s = my_Slurm("namelist", cfg_update=dict(time="2"))
-id = s.run(' '.join([cluster.python,
- cluster.scriptsdir+'/prepare_namelist.py',
- begin.strftime('%Y-%m-%d_%H:%M'),
- end.strftime('%Y-%m-%d_%H:%M'),
- str(hist_interval), str(radt),]),
- depends_on=[id])
-
-s = my_Slurm("EnsWRF", cfg_update={"nodes": "1", "array": "1-"+str(exp.n_nodes),
- "mem-per-cpu": "2G", "mail-type": "BEGIN,FAIL,END"})
-cmd = script_to_str(cluster.run_WRF).replace('<expname>', exp.expname)
-id = s.run(cmd, depends_on=[id])
+id = run_ENS(begin=begin, end=end, first_minute=False, depends_on=id)
+create_satimages(begin, depends_on=id)
diff --git a/scheduler.py b/scheduler.py
index 7c70e6e3cca5c274468f95209d7a1d981f70f548..b0011fdffc882a512724a113dd88f779309934a5 100755
--- a/scheduler.py
+++ b/scheduler.py
@@ -207,7 +207,7 @@ def assimilate(assim_time, prior_init_time,
def create_satimages(init_time, depends_on=None):
- s = my_Slurm("pRTTOV", cfg_update={"ntasks": "48", "time": "30"})
+ s = my_Slurm("pRTTOV", cfg_update={"ntasks": "48", "time": "30", "nodes": "1"})
s.run(cluster.python+' /home/fs71386/lkugler/RTTOV-WRF/run_init.py '+cluster.archivedir
+init_time.strftime('/%Y-%m-%d_%H:%M/'),
depends_on=[depends_on])
@@ -219,20 +219,31 @@ def mailme(depends_on=None):
def gen_obsseq(depends_on=None):
s = my_Slurm("obsseq_netcdf", cfg_update={"time": "10", "mail-type": "FAIL,END"})
- s.run(cluster.python+' '+cluster.scripts_rundir+'/obsseq_to_netcdf.py',
+ id = s.run(cluster.python+' '+cluster.scripts_rundir+'/obsseq_to_netcdf.py',
+ depends_on=[depends_on])
+ return id
+
+def verify(depends_on=None):
+ s = my_Slurm("verify", cfg_update={"time": "180", "mail-type": "FAIL,END",
+ "ntasks": "96", "ntasks-per-node": "96", "ntasks-per-core": "2"})
+ s.run(cluster.python_enstools+' '+cluster.userdir+'/osse_analysis/analyze_fc.py '+exp.expname+' has_node',
depends_on=[depends_on])
def copy_to_jet(depends_on=None):
- s = my_Slurm("rsync-jet", cfg_update={"time": "1", "mail-type": "FAIL"})
- s.run('bash rsync -avh '+cluster.archivedir+' lkugler@jet01.img.univie.ac.at:/jetfs/home/lkugler/data_jetfs/sim_archive/ &',
+ Slurm('rsync-jet', slurm_kwargs={"time": "30",
+ "account": "p71386", "partition": "mem_0384", "qos": "p71386_0384",
+ "ntasks": "1", "mem": "5gb",
+ "mail-type": "FAIL", "mail-user": "lukas.kugler@univie.ac.at"},
+ log_dir=log_dir, scripts_dir=slurm_scripts_dir,
+ ).run("bash -c 'nohup rsync -avh "+cluster.archivedir+" lkugler@jet01.img.univie.ac.at:/jetfs/home/lkugler/data/sim_archive/ &'",
depends_on=[depends_on])
################################
if __name__ == "__main__":
print('starting osse')
- timedelta_integrate = dt.timedelta(minutes=10)
- timedelta_btw_assim = dt.timedelta(minutes=10)
+ timedelta_integrate = dt.timedelta(minutes=15)
+ timedelta_btw_assim = dt.timedelta(minutes=15)
backup_scripts()
id = None
@@ -257,10 +268,10 @@ if __name__ == "__main__":
id = prepare_wrfinput(init_time) # create initial conditions
# get initial conditions from archive
- integration_end_time = dt.datetime(2008, 7, 30, 13)
+ integration_end_time = dt.datetime(2008, 7, 30, 10)
exppath_arch = '/gpfs/data/fs71386/lkugler/sim_archive/exp_v1.16_P1_40mem'
- #id = update_wrfinput_from_archive(integration_end_time, init_time, exppath_arch, depends_on=id)
- id = wrfinput_insert_wbubble(depends_on=id)
+ id = update_wrfinput_from_archive(integration_end_time, init_time, exppath_arch, depends_on=id)
+ #id = wrfinput_insert_wbubble(depends_on=id)
prior_path_exp = exppath_arch # for next assimilation
# values for assimilation
@@ -268,7 +279,7 @@ if __name__ == "__main__":
assim_time = integration_end_time
prior_init_time = init_time
- while time <= dt.datetime(2008, 7, 30, 14):
+ while time <= dt.datetime(2008, 7, 30, 10, 30):
id = assimilate(assim_time,
prior_init_time,
@@ -280,8 +291,8 @@ if __name__ == "__main__":
this_forecast_init = assim_time # start integration from here
timedelta_integrate = timedelta_btw_assim
- if this_forecast_init.minute == 0 and this_forecast_init.hour != dt.datetime(2008, 7, 30, 13): # longer forecast every full hour
- timedelta_integrate = dt.timedelta(minutes=3*60)
+ if this_forecast_init.minute in [30, 0]: # longer forecast every full hour
+ timedelta_integrate = dt.timedelta(hours=2)
this_forecast_end = assim_time + timedelta_integrate
@@ -298,5 +309,6 @@ if __name__ == "__main__":
assim_time = time
prior_init_time = time - timedelta_btw_assim
- gen_obsseq(id) # mailme(id)
- copy_to_jet(id)
+ id = gen_obsseq(id)
+ verify(id)
+ # copy to jet
diff --git a/scripts/apply_obs_op_dart.py b/scripts/apply_obs_op_dart.py
index 4563598a47d544826bbfc2b69c11c49a9c929a0c..87f028ed1ff435db58a3f42182fe98e610f2df21 100755
--- a/scripts/apply_obs_op_dart.py
+++ b/scripts/apply_obs_op_dart.py
@@ -33,7 +33,7 @@ if __name__ == '__main__':
savedir = cluster.archivedir+'/obs_seq_final_1min/'
aso.set_DART_nml(just_prior_values=True)
- osq.create_obsseqin_alltypes(time, exp.observations, obs_errors=False)
+ osq.create_obsseqin_alltypes(time, exp.observations, 0.)
# prepare dummy nature (this Hx is irrelevant)
os.chdir(cluster.dartrundir)
diff --git a/scripts/assim_synth_obs.py b/scripts/assim_synth_obs.py
index e39ad55526388ecde8d7e634984f1fd37bcc65eb..a4a93114ab88de996cb84646c84f497b9edf0d52 100755
--- a/scripts/assim_synth_obs.py
+++ b/scripts/assim_synth_obs.py
@@ -97,7 +97,8 @@ def replace_errors_obsseqout(f, new_errors):
previous_err_var = obsseq[line_error_obs_i]
new_err_obs_i = new_errors[i_obs]**2 # variance in obs_seq.out
- if debug: print('previous err var ', float(previous_err_var.strip()), 'new error', new_err_obs_i)
+ if debug:
+ print(line.strip(), 'previous err var ', float(previous_err_var.strip()), 'new error', new_err_obs_i)
obsseq[line_error_obs_i] = ' '+str(new_err_obs_i)+' \n'
i_obs += 1 # next iteration
@@ -411,12 +412,9 @@ if __name__ == "__main__":
n_obs_z = len(obscfg.get('heights', [1,]))
n_obs_3d = n_obs * n_obs_z
- parametrized = obscfg.get('sat_channel') == 6
-
- if not parametrized:
- err_assim = np.zeros(n_obs_3d) + obscfg['error_assimilate']
-
- else: # error parametrization for WV73
+ do_error_parametrization = ((obscfg['error_assimilate'] == False) and (obscfg.get('sat_channel') == 6))
+
+ if do_error_parametrization:
# get observations for sat 6
osq.create_obsseqin_alltypes(time, [obscfg,], np.zeros(n_obs_3d))
run_perfect_model_obs()
@@ -426,6 +424,8 @@ if __name__ == "__main__":
Hx_prior = obs_operator_ensemble(istage) # files are already linked to DART directory
err_assim = calc_obserr_WV73(Hx_nat, Hx_prior)
+ else:
+ err_assim = np.zeros(n_obs_3d) + obscfg['error_assimilate']
error_assimilate.extend(err_assim) # the obs-error we assume for assimilating observations
@@ -437,7 +437,7 @@ if __name__ == "__main__":
for i, obscfg in enumerate(exp.observations):
error_generate.extend(np.zeros(n_obs_3d) + obscfg['error_generate'])
- osq.create_obsseqin_alltypes(time, exp.observations, obs_errors=error_generate)
+ osq.create_obsseqin_alltypes(time, exp.observations, error_generate)
set_DART_nml()
diff --git a/scripts/create_obsseq.py b/scripts/create_obsseq.py
index 1d06ac70aae766dab48f5863648e553c370e8a94..754de0e344099ab811d084a254d8e0a1893370c1 100755
--- a/scripts/create_obsseq.py
+++ b/scripts/create_obsseq.py
@@ -140,6 +140,7 @@ def calc_obs_locations(n_obs, coords_from_domaincenter=True,
n_obs_x = int(np.sqrt(n_obs))
nx = len(ds.south_north) # number of gridpoints in one direction
model_dx_km = exp.model_dx/1000
+ print('assuming', model_dx_km, 'km model grid')
omit_covloc_radius_on_boundary = True
if omit_covloc_radius_on_boundary: # in order to avoid an increment step on the boundary
@@ -382,8 +383,7 @@ def create_obsseqin_alltypes(time_dt, list_obscfg, obs_errors, archive_obs_coord
Args:
time_dt (dt.datetime): time of observation
list_obscfg (list of dict)
- obs_errors (list of float, False): contains observation errors, one for each observation
- if False: use zero error
+ obs_errors (np.array): contains observation errors, one for each observation
archive_obs_coords (bool, str): False or str (filepath where `obs_seq.in` will be saved)
"""
print('creating obs_seq.in:')
@@ -411,13 +411,7 @@ def create_obsseqin_alltypes(time_dt, list_obscfg, obs_errors, archive_obs_coord
coords = append_hgt_to_coords(coords, vert_coords)
n_obs_3d_thistype = len(coords)
- # define obs error
- if obs_errors == False:
- obs_errors = np.zeros(n_obs_3d_thistype)
- assert len(obs_errors) == n_obs_3d_thistype, 'len(obs_errors) == n_obs_3d_thistype'
- obserr_std = obs_errors #np.zeros(n_obs_3d_thistype)
- #if obs_errors:
- # obserr_std += obscfg[obs_errors]
+ obserr_std = np.zeros(n_obs_3d_thistype) + obs_errors
sat_info = write_sat_angle_appendix(sat_channel, lat0, lon0, time_dt)
@@ -455,7 +449,7 @@ def create_obsseqin_alltypes(time_dt, list_obscfg, obs_errors, archive_obs_coord
if __name__ == '__main__':
# for testing
time_dt = dt.datetime(2008, 7, 30, 9, 0)
- n_obs = 900 # radar: n_obs for each observation height level
+ n_obs = 22801 # 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,
@@ -490,10 +484,11 @@ if __name__ == '__main__':
#create_obsseq_in(time_dt, radar, archive_obs_coords=False) #'./coords_stage1.pkl')
- create_obsseqin_alltypes(time_dt, [vis, wv73], obs_errors='error_generate', archive_obs_coords='./obs_coords.pkl')
+ create_obsseqin_alltypes(time_dt, [wv73], obs_errors=False, archive_obs_coords=False) #'./obs_coords.pkl')
- error_assimilate = 5.*np.ones(n_obs*len(radar['heights']))
- import assim_synth_obs as aso
- #aso.replace_errors_obsseqout(cluster.dartrundir+'/obs_seq.out', error_assimilate)
+ if False:
+ error_assimilate = 5.*np.ones(n_obs*len(radar['heights']))
+ import assim_synth_obs as aso
+ aso.replace_errors_obsseqout(cluster.dartrundir+'/obs_seq.out', error_assimilate)
diff --git a/templates/input.eval.nml b/templates/input.eval.nml
index df66d8ea49826c9a97038fead9e9a0af10450b37..92212cad31ee54584af062f76d80425f4c47fe1a 100644
--- a/templates/input.eval.nml
+++ b/templates/input.eval.nml
@@ -174,12 +174,12 @@
#
&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,
+ apply_ref_limit_to_obs = .true.,
+ reflectivity_limit_obs = 5.0,
+ lowest_reflectivity_obs = 5.0,
+ apply_ref_limit_to_fwd_op = .true.,
+ reflectivity_limit_fwd_op = 5.0,
+ lowest_reflectivity_fwd_op = 5.0,
max_radial_vel_obs = 1000000,
allow_wet_graupel = .false.,
microphysics_type = 5 ,
diff --git a/templates/input.nml b/templates/input.nml
index 356d7258e25220b20d55fb62530cb22e2690bacc..1281697e1998c3501b206f03f3ea7ee3cf32a481 100644
--- a/templates/input.nml
+++ b/templates/input.nml
@@ -176,12 +176,12 @@
#
&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,
+ apply_ref_limit_to_obs = .true.,
+ reflectivity_limit_obs = 5.0,
+ lowest_reflectivity_obs = 5.0,
+ apply_ref_limit_to_fwd_op = .true.,
+ reflectivity_limit_fwd_op = 5.0,
+ lowest_reflectivity_fwd_op = 5.0,
max_radial_vel_obs = 1000000,
allow_wet_graupel = .false.,
microphysics_type = 5 ,
diff --git a/templates/input.prioronly.nml b/templates/input.prioronly.nml
index 19471bb280abc0e238bc62657d674c5338aa5d10..994e6e33cf499d236705e3e2dee8c57dd7c17d59 100644
--- a/templates/input.prioronly.nml
+++ b/templates/input.prioronly.nml
@@ -170,12 +170,12 @@
#
&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,
+ apply_ref_limit_to_obs = .true.,
+ reflectivity_limit_obs = 5.0,
+ lowest_reflectivity_obs = 5.0,
+ apply_ref_limit_to_fwd_op = .true.,
+ reflectivity_limit_fwd_op = 5.0,
+ lowest_reflectivity_fwd_op = 5.0,
max_radial_vel_obs = 1000000,
allow_wet_graupel = .false.,
microphysics_type = 5 ,
diff --git a/templates/namelist.input b/templates/namelist.input
index b488b18c87a33df6d74b41939a2ebdd30ce1004e..78cabae47630847d7572dc18c453ad134eef5cc2 100644
--- a/templates/namelist.input
+++ b/templates/namelist.input
@@ -11,6 +11,7 @@
end_hour = <HH2>, 00, 00,
end_minute = <MM2>, 120, 120,
end_second = 0, 00, 00,
+ interval_seconds = 86400
history_interval = <hist_interval>, 15, 15,
frames_per_outfile = 1, 1, 1,
history_outname = '<archivedir>/wrfout_d<domain>_<date>'
@@ -30,7 +31,6 @@
starting_time_step = 8,
max_time_step = 16,
min_time_step = 6,
- step_to_output_time = .true.,
time_step = 8,
time_step_fract_num = 0,
time_step_fract_den = 1,