pyet.combination.calculate_all#
- pyet.combination.calculate_all(tmean, wind, rs, elevation, lat, tmax, tmin, rh=None, rhmax=None, rhmin=None)[source]#
Potential evapotranspiration estimated based on all available methods.
- Parameters:
tmean (pandas.Series or xarray.DataArray) – average day temperature [°C].
wind (float or pandas.Series or xarray.DataArray) – mean day wind speed [m/s].
rs (float or pandas.Series or xarray.DataArray) – incoming solar radiation [MJ m-2 d-1].
elevation (float or xarray.DataArray) – the site elevation [m].
lat (float or xarray.DataArray) – the site latitude [rad].
tmax (float or pandas.Series or xarray.DataArray) – maximum day temperature [°C].
tmin (float or pandas.Series or xarray.DataArray) – minimum day temperature [°C].
rh (float or pandas.Series or xarray.DataArray) – mean daily relative humidity [%].
rhmax (pandas.Series, optional) – maximum daily relative humidity [%].
rhmin (pandas.Series, optional) – minimum daily relative humidity [%].
- Return type:
pandas.DataFrame containing the calculated Potential evapotranspiration
Examples
>>> pe_all = calculate_all(tmean, wind, rs, elevation, lat, tmax=tmax, tmin=tmin, rh=rh)