pyet.temperature.haude#

pyet.temperature.haude(tmean, rh, k=1, clip_zero=True)[source]#

Potential evapotranspiration calculated according to Haude (1955).

Parameters:

tmean (pandas.Series or xarray.DataArray) – temperature at 2pm or maximum dailty temperature [°C].
rh (float or pandas.Series or xarray.DataArray) – average relative humidity at 2pm [%].
k (float, optional) – calibration coefficient [-].
clip_zero (bool, optional) – if True, replace all negative values with 0.

Returns:

float or pandas.Series or xarray.DataArray containing the calculated potential
evapotranspiration [mm d-1].

Examples

>>> pet_haude = haude(tmean, rh)

Notes

Following Haude (1955) and Schiff (1975).

\[PET = k * f * (e_s-e_a)\]