ETo
A Python package for calculating reference and crop evapotranspiration
ETo calculates reference evapotranspiration (ETo) and crop evapotranspiration (ETc) using the UN-FAO 56 paper methodology. It estimates missing meteorological parameters from available data and supports daily, hourly, and monthly time steps.
Features
- FAO 56 Penman-Monteith reference ET (short and tall reference crops)
- Hargreaves simplified daily ET
- Crop evapotranspiration — single Kc, dual Kc (Kcb + Ke), and water stress adjustment (Ks)
- Built-in crop coefficients for 23 major crops (FAO 56 Table 12)
- Automatic parameter estimation with quality tracking
- Input validation with configurable warnings
- Derived outputs — VPD, T_dew (back-calculated), clear-sky radiation
Documentation
Full documentation is available at mullenkamp.github.io/ETo.
Installation
pip install eto
or:
conda install -c mullenkamp eto
The only dependency is NumPy.
Quick Example
import numpy as np
from eto import ETo
data = {
'T_min': np.array([10.0, 12.0, 8.0]),
'T_max': np.array([25.0, 28.0, 22.0]),
}
dates = np.arange('2020-01-01', '2020-01-04', dtype='datetime64[D]')
et = ETo(data, freq='D', z_msl=500, lat=-43.6, dates=dates)
# Reference ET
eto = et.eto_fao() # np.ndarray of ETo in mm
# Crop ET (single Kc)
etc = et.etc(crop='maize_grain', stage='mid') # ETc = Kc × ETo
# Tall reference crop (ASCE alfalfa)
etr = et.eto_fao(ref_crop='tall')
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