def regrid_2d_prepare(environ, **kwargs):
input_file = StringIO()
get(fmt('{regrid_2d_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(
environ['regrid_2d_namelist']['vars'].keys()) & set(data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = (set(environ['regrid_2d_namelist']['vars'][k].keys())
& set(data[k].keys()))
data[k].update([(ke, environ['regrid_2d_namelist']['vars'][k][ke])
for ke in keys])
src_file = data['regrid_2d_nml']['src_file']
run(fmt('cp %s {regrid_2d_workdir}/src_file.nc' % src_file, environ))
data['regrid_2d_nml']['src_file'] = 'src_file.nc'
output.write(yaml2nml(data))
put(output, fmt('{regrid_2d_workdir}/input.nml', environ))
output.close()
def regrid_2d_prepare(environ, **kwargs):
input_file = StringIO()
get(fmt('{regrid_2d_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(
environ['regrid_2d_namelist']['vars'].keys()) & set(data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = (set(environ['regrid_2d_namelist']['vars'][k].keys())
& set(data[k].keys()))
data[k].update([(ke, environ['regrid_2d_namelist']['vars'][k][ke])
for ke in keys])
src_file = data['regrid_2d_nml']['src_file']
run(fmt('cp %s {regrid_2d_workdir}/src_file.nc' % src_file, environ))
data['regrid_2d_nml']['src_file'] = 'src_file.nc'
output.write(yaml2nml(data))
put(output, fmt('{regrid_2d_workdir}/input.nml', environ))
output.close()
def prepare_namelist(environ, **kwargs):
''' Read atmos namelist and update variables from environ as needed
Used vars:
name
atmos_namelist
TRC
LV
dt_atmos
start
restart
finish
rootexp
workdir
Depends on:
None
'''
input_file = StringIO()
get(fmt('{agcm_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(
environ['atmos_namelist']['vars'].keys()) & set(data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = set(environ['atmos_namelist']['vars'][k]
.keys()) & set(data[k].keys())
data[k].update([(
ke, environ['atmos_namelist']['vars'][k][ke]) for ke in keys])
trunc = "%04d" % environ['TRC']
lev = "%03d" % environ['LV']
data['MODEL_RES']['trunc'] = "%04d" % environ['TRC']
data['MODEL_RES']['vert'] = environ['LV']
data['MODEL_RES']['dt'] = environ['dt_atmos']
data['MODEL_RES']['IDATEI'] = format_atmos_date(environ['start'])
data['MODEL_RES']['IDATEW'] = format_atmos_date(environ['restart'])
data['MODEL_RES']['IDATEF'] = format_atmos_date(environ['finish'])
data['MODEL_RES']['DHEXT'] = environ.get('DHEXT', 0)
if environ.get('DHEXT', 0) != 0:
begin = datetime.strptime(environ['restart'], "%Y%m%d%H")
end = datetime.strptime(environ['finish'], "%Y%m%d%H")
nhext = total_seconds(end - begin) / 3600
else:
nhext = 0
data['MODEL_RES']['NHEXT'] = nhext
# TODO: is this environ['agcm_model_inputs'] ?
data['MODEL_RES']['path_in'] = fmt(
'{rootexp}/AGCM-1.0/model/datain', environ)
data['MODEL_RES']['dirfNameOutput'] = (
fmt('{workdir}/model/dataout/TQ%sL%s' % (trunc, lev), environ))
output.write(yaml2nml(data,
key_order=['MODEL_RES', 'MODEL_IN', 'PHYSPROC',
'PHYSCS', 'COMCON']))
# HACK: sigh, this is needed to run atmos post processing, even if we
# don't use these forecasts.
output.write("""
17
6.0 12.0 18.0 24.0
30.0 36.0 42.0 48.0
54.0 60.0 66.0 72.0
84.0 96.0 120.0 144.0
168.0
""")
put(output, fmt('{workdir}/MODELIN', environ))
output.close()
def prepare_namelist(environ, **kwargs):
''' Read ocean namelist and update variables from environ as needed
Used vars:
name
ocean_namelist
npes
dt_ocean
dt_atmos
dt_cpld
days
workdir
Depends on:
None
'''
input_file = StringIO()
get(fmt('{ocean_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(
environ['ocean_namelist']['vars'].keys()) & set(data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = (set(environ['ocean_namelist']['vars'][k].keys())
& set(data[k].keys()))
data[k].update([(ke, environ['ocean_namelist']['vars'][k][ke])
for ke in keys])
if ('coupler_nml' in data) and \
data['coupler_nml'].get('concurrent', False):
data['ocean_model_nml']['layout'] = ("%d,%d"
% layout(data['coupler_nml']['ocean_npes']))
else:
data['ocean_model_nml']['layout'] = ("%d,%d"
% layout(int(environ['npes'])))
data['ocean_model_nml']['dt_ocean'] = environ['dt_ocean']
if environ['type'] != 'MOM_solo':
data['coupler_nml']['dt_atmos'] = environ['dt_atmos']
data['coupler_nml']['dt_cpld'] = environ['dt_cpld']
if environ['type'] == 'MOM_solo':
timing_ctrl_nml = 'ocean_solo_nml'
else:
timing_ctrl_nml = 'coupler_nml'
if 'days' in data[timing_ctrl_nml]:
data[timing_ctrl_nml].pop('days')
if 'months' in data[timing_ctrl_nml]:
data[timing_ctrl_nml].pop('months')
if ('days' in environ) & ('months' not in environ):
data[timing_ctrl_nml]['days'] = environ['days']
elif ('days' not in environ) & ('months' in environ):
data[timing_ctrl_nml]['months'] = environ['months']
else:
print "Error, one should use days or months, not both or none"
if environ['mode'] == 'warm':
start = datetime.strptime(str(environ['restart']), "%Y%m%d%H")
else:
start = datetime.strptime(str(environ['start']), "%Y%m%d%H")
# Gui 20131101. MOM_solo do not recognize the current_date,
# but needs to use date_init instead.
if environ['type'] == 'MOM_solo':
data[timing_ctrl_nml]['date_init'] = \
"%01d, %01d, %01d, %01d, 0, 0" % \
(start.year, start.month, start.day, start.hour)
else:
data[timing_ctrl_nml]['current_date'] = \
"%01d, %01d, %01d, %01d, 0, 0" % \
(start.year, start.month, start.day, start.hour)
if 'ocean_drifters_nml' in data.keys():
if data['ocean_drifters_nml']['use_this_module']:
environ['run_drifters_pos'] = True
output.write(yaml2nml(data))
put(output, fmt('{workdir}/input.nml', environ))
output.close()
def prepare_namelist(environ, **kwargs):
''' Read ocean namelist and update variables from environ as needed
Used vars:
name
ocean_namelist
npes
dt_ocean
dt_atmos
dt_cpld
days
workdir
Depends on:
None
'''
input_file = StringIO()
get(fmt('{ocean_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(
environ['ocean_namelist']['vars'].keys()) & set(data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = (set(environ['ocean_namelist']['vars'][k].keys())
& set(data[k].keys()))
data[k].update([(ke, environ['ocean_namelist']['vars'][k][ke])
for ke in keys])
if data['coupler_nml'].get('concurrent', False):
data['ocean_model_nml']['layout'] = ("%d,%d"
% layout(data['coupler_nml']['ocean_npes']))
data['ice_model_nml']['layout'] = ("0,0")
else:
data['ocean_model_nml']['layout'] = ("%d,%d"
% layout(int(environ['npes'])))
data['ice_model_nml']['layout'] = ("%d,%d"
% layout(int(environ['npes'])))
data['ocean_model_nml']['dt_ocean'] = environ['dt_ocean']
data['coupler_nml']['dt_atmos'] = environ['dt_atmos']
data['coupler_nml']['dt_cpld'] = environ['dt_cpld']
if 'days' in data['coupler_nml']:
data['coupler_nml'].pop('days')
if 'months' in data['coupler_nml']:
data['coupler_nml'].pop('months')
if ('days' in environ) & ('months' not in environ):
data['coupler_nml']['days'] = environ['days']
elif ('days' not in environ) & ('months' in environ):
data['coupler_nml']['months'] = environ['months']
else:
print "Error, one should use days or months, not both or none"
if environ['mode'] == 'warm':
start = datetime.strptime(str(environ['restart']), "%Y%m%d%H")
else:
start = datetime.strptime(str(environ['start']), "%Y%m%d%H")
data['coupler_nml']['current_date'] = start.strftime(
"%Y, %m, %d, %H, 0, 0")
if 'ocean_drifters_nml' in data.keys():
if data['ocean_drifters_nml']['use_this_module']:
environ['run_drifters_pos'] = True
output.write(yaml2nml(data))
put(output, fmt('{workdir}/input.nml', environ))
output.close()
def prepare_namelist(environ, **kwargs):
''' Read atmos namelist and update variables from environ as needed
Used vars:
name
atmos_namelist
TRC
LV
dt_atmos
start
restart
finish
rootexp
workdir
Depends on:
None
'''
input_file = StringIO()
get(fmt('{agcm_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(environ['atmos_namelist']['vars'].keys()) & set(
data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = set(environ['atmos_namelist']['vars'][k].keys()) & set(
data[k].keys())
data[k].update([(ke, environ['atmos_namelist']['vars'][k][ke])
for ke in keys])
trunc = "%04d" % environ['TRC']
lev = "%03d" % environ['LV']
data['MODEL_RES']['trunc'] = "%04d" % environ['TRC']
data['MODEL_RES']['vert'] = environ['LV']
data['MODEL_RES']['dt'] = environ['dt_atmos']
data['MODEL_RES']['IDATEI'] = format_atmos_date(environ['start'])
data['MODEL_RES']['IDATEW'] = format_atmos_date(environ['restart'])
data['MODEL_RES']['IDATEF'] = format_atmos_date(environ['finish'])
data['MODEL_RES']['DHEXT'] = environ.get('DHEXT', 0)
if environ.get('DHEXT', 0) != 0:
begin = datetime.strptime(environ['restart'], "%Y%m%d%H")
end = datetime.strptime(environ['finish'], "%Y%m%d%H")
nhext = total_seconds(end - begin) / 3600
else:
nhext = 0
data['MODEL_RES']['NHEXT'] = nhext
# TODO: is this environ['agcm_model_inputs'] ?
data['MODEL_RES']['path_in'] = fmt('{rootexp}/AGCM-1.0/model/datain',
environ)
data['MODEL_RES']['dirfNameOutput'] = (fmt(
'{workdir}/model/dataout/TQ%sL%s' % (trunc, lev), environ))
output.write(
yaml2nml(data,
key_order=[
'MODEL_RES', 'MODEL_IN', 'PHYSPROC', 'PHYSCS', 'COMCON'
]))
# HACK: sigh, this is needed to run atmos post processing, even if we
# don't use these forecasts.
output.write("""
17
6.0 12.0 18.0 24.0
30.0 36.0 42.0 48.0
54.0 60.0 66.0 72.0
84.0 96.0 120.0 144.0
168.0
""")
put(output, fmt('{workdir}/MODELIN', environ))
output.close()
def prepare_namelist(environ, **kwargs):
''' Read ocean namelist and update variables from environ as needed
Used vars:
name
ocean_namelist
npes
dt_ocean
dt_atmos
dt_cpld
days
workdir
Depends on:
None
'''
input_file = StringIO()
get(fmt('{ocean_namelist[file]}', environ), input_file)
data = nml_decode(input_file.getvalue())
input_file.close()
output = StringIO()
try:
tkeys = set(environ['ocean_namelist']['vars'].keys()) & set(
data.keys())
except KeyError:
pass
else:
for k in tkeys:
keys = (set(environ['ocean_namelist']['vars'][k].keys())
& set(data[k].keys()))
data[k].update([(ke, environ['ocean_namelist']['vars'][k][ke])
for ke in keys])
if data['coupler_nml'].get('concurrent', False):
data['ocean_model_nml']['layout'] = (
"%d,%d" % layout(data['coupler_nml']['ocean_npes']))
data['ice_model_nml']['layout'] = ("0,0")
else:
data['ocean_model_nml']['layout'] = ("%d,%d" %
layout(int(environ['npes'])))
data['ice_model_nml']['layout'] = ("%d,%d" %
layout(int(environ['npes'])))
data['ocean_model_nml']['dt_ocean'] = environ['dt_ocean']
data['coupler_nml']['dt_atmos'] = environ['dt_atmos']
data['coupler_nml']['dt_cpld'] = environ['dt_cpld']
if 'days' in data['coupler_nml']:
data['coupler_nml'].pop('days')
if 'months' in data['coupler_nml']:
data['coupler_nml'].pop('months')
if ('days' in environ) & ('months' not in environ):
data['coupler_nml']['days'] = environ['days']
elif ('days' not in environ) & ('months' in environ):
data['coupler_nml']['months'] = environ['months']
else:
print "Error, one should use days or months, not both or none"
if environ['mode'] == 'warm':
start = datetime.strptime(str(environ['restart']), "%Y%m%d%H")
else:
start = datetime.strptime(str(environ['start']), "%Y%m%d%H")
data['coupler_nml']['current_date'] = start.strftime(
"%Y, %m, %d, %H, 0, 0")
if 'ocean_drifters_nml' in data.keys():
if data['ocean_drifters_nml']['use_this_module']:
environ['run_drifters_pos'] = True
output.write(yaml2nml(data))
put(output, fmt('{workdir}/input.nml', environ))
output.close()