pyet.radiation.mcguinness_bordne#
- pyet.radiation.mcguinness_bordne(tmean, lat, k=0.0147, clip_zero=True)[source]#
Potential evapotranspiration calculated according to McGuinness and Bordne (1972).
- Parameters:
tmean (pandas.Series or xarray.DataArray) – average day temperature [°C].
lat (float/xarray.DataArray, optional) – the site latitude [rad].
k (float, optional) – calibration coefficient [-].
clip_zero (bool, optional) – if True, replace all negative values with 0.
- Returns:
pandas.Series or xarray.DataArray containing the calculated potential
evapotranspiration [mm d-1].
Examples
>>> pet_mcguinness_bordne = mcguinness_bordne(tmean, lat)
Notes
Based on equation 13 in Xu and Singh (2000).
\[PET = k\frac{R_a (T_{mean} + 5)}{\lambda}\]