easy_vic_build.tools.dpc_func.extractData_func.Extract_CAMELS_ForcingDaymet

Module easy_vic_build.tools.dpc_func.extractData_func.Extract_CAMELS_ForcingDaymet.

Functions

`ExtractData`(basinShp[, read_dates, read_keys])	params:
`ExtractForcingDaymet`(forcingDaymet, ...[, plot])	_summary_
`readForcingDaymet`([hru_id_list])	Run `readForcingDaymet` data processing routine.

easy_vic_build.tools.dpc_func.extractData_func.Extract_CAMELS_ForcingDaymet.readForcingDaymet(hru_id_list=None)[source]

Run readForcingDaymet data processing routine.

Parameters:: hru_id_list (object, optional) – Input value for hru_id_list.
Returns:: Output generated by this function.
Return type:: object

easy_vic_build.tools.dpc_func.extractData_func.Extract_CAMELS_ForcingDaymet.ExtractForcingDaymet(forcingDaymet, forcingDaymetGaugeAttributes, gauge_id, read_dates, plot=False)[source]

_summary_

Parameters:

forcingDaymet (_type_) – _description_
forcingDaymetGaugeAttributes (_type_) – _description_
gauge_id (_type_) – _description_
extract_dates (_type_) – _description_, #!note should be set to avoid missing value e.g. extract_dates = pd.date_range(“19800101”, “20141231”, freq=”D”)
plot (bool, optional) – _description_. Defaults to False.

easy_vic_build.tools.dpc_func.extractData_func.Extract_CAMELS_ForcingDaymet.ExtractData(basinShp, read_dates=None, read_keys=None)[source]

params:: read_dates: pd.date_range(“19800101”, “20141231”, freq=”D”), should be set to avoid missing value read_keys: [“prcp(mm/day)”] # “prcp(mm/day)” “srad(W/m2)” “dayl(s)” “swe(mm)” “tmax(C)” “tmin(C)” “vp(Pa)”