def precip_monthly(self, *, yearmon: str, target: str,
member: str) -> Vardef:
_, month = dates.parse_yearmon(target)
return paths.Vardef(
os.path.join(self.subdir(),
'mean_prate_month_{:02d}.nc'.format(month)), 'Pr')
def p_wetdays(self, *, yearmon: str, target: str, member: str) -> Vardef:
_, month = dates.parse_yearmon(target)
return paths.Vardef(
os.path.join(self.subdir(),
'mean_p_wetdays_month_{:02d}.nc'.format(month)),
'pWetDays')
def p_wetdays(self, *, yearmon=None, target, member=None):
month = int(target[4:])
return paths.Vardef(
os.path.join(
self.source, 'NCEP', 'wetdays_ltmean',
'wetdays_ltmean_month_{month:02d}.nc'.format(month=month)),
'pWetDays')
def p_wetdays(self, *, yearmon: str) -> paths.Vardef:
year, month = dates.parse_yearmon(yearmon)
if year < 1979:
return self.mean_p_wetdays(month)
else:
return paths.Vardef(
os.path.join(self.source, 'NCEP', 'wetdays',
'wetdays_{yearmon}.nc'.format(yearmon=yearmon)),
'pWetDays')
def compute_fit_hindcast(self, varname: str, target_month: int,
lead: int) -> List[Step]:
assert varname in {'T', 'Pr'}
inputs = [
str(
paths.Vardef(
self.hindcast_raw(timestamp=timestamp, target=target),
varname))
for timestamp, target in self.available_hindcasts(
target_month, lead)
]
return [
commands.wsim_fit(distribution='gev',
inputs=inputs,
output=self.fit_retro(var=varname,
target_month=target_month,
lead_months=lead),
window=1)
]
def elevation(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'GMTED2010', 'gmted2010_05deg.tif'), '1')
def flowdir(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'STN_30', 'g_network.asc'), '1')
def precip_monthly(self, *, yearmon: str, target: str,
member: str) -> paths.Vardef:
return paths.Vardef(
self.forecast_corrected(yearmon=yearmon,
target=target,
member=member), 'Pr')
def flowdir(self):
return paths.Vardef(os.path.join(
self.source, 'NTSG_DRT', 'drt_flow_directions_0125deg_nldas.tif'),
var='1')
def provinces(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'GADM', 'gadm36_level_1.gpkg'), None)
def power_plants(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'GPPD', 'gppd_inferred_cooling.nc'),
None)
def dam_locations(self) -> paths.Vardef:
return paths.Vardef(grand.dam_locations(self.source), None)
def basins(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'HydroBASINS', 'basins_lev07.shp'), None)
def temp_monthly(self, *, yearmon: str) -> paths.Vardef:
year, _ = dates.parse_yearmon(yearmon)
return paths.Vardef(os.path.join(self.source, 'GHCN_CAMS', str(year), 'ghcn_cams_{yearmon}.nc'.format(yearmon=yearmon)), 'T')
def temp_monthly(self, *, yearmon, target, member):
return paths.Vardef(
self.forecast_corrected(yearmon=yearmon,
target=target,
member=member), 'T')
def mean_p_wetdays(self, month: int) -> Vardef:
return paths.Vardef(os.path.join(self.source,
'NCEP',
'wetdays_ltmean',
'wetdays_ltmean_month_{month:02d}.nc'.format(month=month)),
'pWetDays')
def precip_monthly(self, *, yearmon: str) -> paths.Vardef:
year, _ = dates.parse_yearmon(yearmon)
return paths.Vardef(os.path.join(self.source, 'PRECL', str(year), 'precl_{yearmon}.nc'.format(yearmon=yearmon)),
'Pr')
def basin_downstream(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'HydroBASINS',
'basins_lev07_downstream.nc'), 'next_down')
def precip_monthly(self, *, yearmon: str) -> paths.Vardef:
return paths.Vardef(os.path.join(self.source,
'CPC_Global_Daily_Precipitation',
'monthly_sum',
'P_{}.nc'.format(yearmon)),
'Pr')
def water_stress(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'Aqueduct',
'aqueduct_baseline_water_stress.tif'), '1')
def temp_monthly(self, *, yearmon: str) -> paths.Vardef:
return paths.Vardef(os.path.join(self.source,
'CPC_Global_Daily_Temperature',
'monthly_mean',
'T_{}.nc'.format(yearmon)),
'tavg')
def countries(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'GADM', 'gadm36_level_0.gpkg'), None)
def p_wetdays(self, *, yearmon: str) -> paths.Vardef:
return paths.Vardef(os.path.join(self.source,
'CPC_Global_Daily_Precipitation',
'monthly_wetdays',
'pWetDays_{}.nc'.format(yearmon)),
'pWetDays')
def wc(self):
return paths.Vardef(
os.path.join(self.source, 'ISRIC',
'wise_0125deg_nldas_v1_tawc.tif'), '1')
def mean_p_wetdays(self, month: int) -> paths.Vardef:
return paths.Vardef(os.path.join(self.source,
'CPC_Global_Daily_Precipitation',
'monthly_wetdays_mean',
'mean_pWetDays_month_{:02d}.nc'.format(month)),
'pWetDays')
def elevation(self):
return paths.Vardef(
os.path.join(self.source, 'GMTED2010',
'gmted2010_0125deg_nldas.tif'), '1')
def production(self, method: paths.Method) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, spam2010.SUBDIR,
'production_{}.nc'.format(method.value)),
'production')
def wc(self) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'ISRIC', 'wise_05deg_v1_tawc.tif'), '1')
def precip_monthly(self, *, yearmon: str) -> paths.Vardef:
return paths.Vardef(
os.path.join(self.source, 'NCEP', 'P',
'P_{yearmon}.nc'.format(yearmon=yearmon)), 'P')
