# periods += [10]
# periods += [15]
domains = 2 # domains to be processed
# domains = None # process all domains
# filetypes = ['srfc','xtrm','plev3d','hydro','lsm'] # filetypes to be processed # ,'rad'
filetypes = ['hydro'] # filetypes to be processed
grid = 'native'
# check and expand WRF experiment list
experiments = getExperimentList(experiments, project, 'WRF')
if isinstance(domains, (np.integer,int)): domains = [domains]
if isinstance(periods, (np.integer,int)): periods = [periods]
# shall we do some fancy regridding on-the-fly?
if grid == 'native': griddef = None
else: griddef = getCommonGrid(grid)
# print an announcement
print('\n Computing Climatologies for WRF experiments:\n')
print([exp.name for exp in experiments])
if grid != 'native': print('\nRegridding to \'{0:s}\' grid.\n'.format(grid))
print('\nOVERWRITE: {0:s}\n'.format(str(loverwrite)))
# assemble argument list and do regridding
args = [] # list of arguments for workers, i.e. "work packages"
# generate list of parameters
for experiment in experiments:
# loop over file types
for filetype in filetypes:
# effectively, loop over domains
if domains is None:
if mode == 'climatology':
periodlist = periods if isinstance(periods,
(tuple, list)) else (periods, )
elif mode == 'time-series':
periodlist = (None, ) # ignore periods
else:
raise NotImplementedError, "Unrecognized Mode: '{:s}'".format(mode)
# loop over target grids ...
for grid, reses in grids.iteritems():
# ... and resolutions
if reses is None: reses = (None, )
for res in reses:
# load target grid definition
griddef = getCommonGrid(grid, res=res, lfilepath=True)
# check if grid was defined properly
if not isinstance(griddef, GridDefinition):
raise GDALError, 'No valid grid defined! (grid={0:s})'.format(
grid)
# observational datasets (grid depends on dataset!)
for dataset in datasets:
mod = import_module('datasets.{0:s}'.format(dataset))
if isinstance(resolutions, dict):
if dataset not in resolutions:
resolutions[dataset] = ('', )
elif not isinstance(resolutions[dataset],
(list, tuple)):
resolutions[dataset] = (resolutions[dataset], )
elif resolutions is not None:
for mode in modes:
# only climatology mode has periods
if mode == 'climatology':
periodlist = periods if isinstance(periods, (tuple,list)) else (periods,)
elif mode == 'time-series':
periodlist = (None,) # ignore periods
else: raise NotImplementedError, "Unrecognized Mode: '{:s}'".format(mode)
# loop over target grids ...
for grid,reses in grids.iteritems():
# ... and resolutions
if reses is None: reses = (None,)
for res in reses:
# load target grid definition
griddef = getCommonGrid(grid, res=res, lfilepath=True)
# check if grid was defined properly
if not isinstance(griddef,GridDefinition):
raise GDALError, 'No valid grid defined! (grid={0:s})'.format(grid)
# observational datasets (grid depends on dataset!)
for dataset in datasets:
mod = import_module('datasets.{0:s}'.format(dataset))
if isinstance(resolutions,dict):
if dataset not in resolutions: resolutions[dataset] = ('',)
elif not isinstance(resolutions[dataset],(list,tuple)): resolutions[dataset] = (resolutions[dataset],)
elif resolutions is not None: raise TypeError
if mode == 'climatology':
# some datasets come with a climatology
if lLTM:
if resolutions is None: dsreses = mod.LTM_grids
# periods += [30]
# domains = 1 # domains to be processed
domains = None # process all domains
# WRF_filetypes = ['srfc','xtrm','plev3d','hydro','lsm','rad'] # filetypes to be processed # ,'rad'
WRF_filetypes = ['hydro', 'xtrm', 'hydro', 'lsm', 'rad']
# WRF_filetypes = ['srfc'] # filetypes to be processed
grid = None # use native grid
# check and expand WRF experiment list
WRF_experiments = getExperimentList(WRF_experiments, WRF_project, 'WRF')
if isinstance(domains, (np.integer, int)): domains = [domains]
if isinstance(periods, (np.integer, int)): periods = [periods]
# shall we do some fancy regridding on-the-fly?
if not grid: griddef = None
else: griddef = getCommonGrid(grid)
# print an announcement
print('\n Computing Climatologies for WRF experiments:\n')
print([exp.name for exp in WRF_experiments])
if grid: print('\nRegridding to \'{0:s}\' grid.\n'.format(grid))
print('\nOVERWRITE: {0:s}\n'.format(str(loverwrite)))
# assemble argument list and do regridding
args = [] # list of arguments for workers, i.e. "work packages"
# generate list of parameters
for experiment in WRF_experiments:
# loop over file types
for filetype in WRF_filetypes:
# effectively, loop over domains
if domains is None:
args = [] # list of job packages
# loop over modes
for mode in modes:
# only climatology mode has periods
if mode == 'climatology': periodlist = periods
elif mode == 'time-series': periodlist = (None,)
else: raise NotImplementedError, "Unrecognized Mode: '{:s}'".format(mode)
# loop over target grids ...
for grid,reses in grids.iteritems():
# ... and resolutions
if reses is None: reses = (None,)
for res in reses:
# load target grid definition
griddef = getCommonGrid(grid, res=res)
# check if grid was defined properly
if not isinstance(griddef,GridDefinition):
raise GDALError, 'No valid grid defined! (grid={0:s})'.format(grid)
# observational datasets (grid depends on dataset!)
for dataset in datasets:
mod = import_module('datasets.{0:s}'.format(dataset))
if isinstance(resolutions,dict):
if dataset not in resolutions: resolutions[dataset] = ('',)
elif not isinstance(resolutions[dataset],(list,tuple)): resolutions[dataset] = (resolutions[dataset],)
elif resolutions is not None: raise TypeError
if mode == 'climatology':
# some datasets come with a climatology
if lLTM:
if resolutions is None: dsreses = mod.LTM_grids
# loop over modes
for mode in modes:
# only climatology mode has periods
if mode == 'climatology': periodlist = periods
elif mode == 'time-series': periodlist = (None, )
else:
raise NotImplementedError, "Unrecognized Mode: '{:s}'".format(mode)
# loop over target grids ...
for grid, reses in grids.iteritems():
# ... and resolutions
if reses is None: reses = (None, )
for res in reses:
# load target grid definition
griddef = getCommonGrid(grid, res=res)
# check if grid was defined properly
if not isinstance(griddef, GridDefinition):
raise GDALError, 'No valid grid defined! (grid={0:s})'.format(
grid)
# observational datasets (grid depends on dataset!)
for dataset in datasets:
mod = import_module('datasets.{0:s}'.format(dataset))
if isinstance(resolutions, dict):
if dataset not in resolutions:
resolutions[dataset] = ('', )
elif not isinstance(resolutions[dataset],
(list, tuple)):
resolutions[dataset] = (resolutions[dataset], )
elif resolutions is not None:
