pyet
Reference and potential evapotranspiration in Python — 20+ published methods, FAO-56 included, on pandas/xarray.
FAO's classic tool for crop water requirements and irrigation scheduling from climate and crop data.
by FAO
CROPWAT is the FAO's decision-support tool for irrigation: it computes reference evapotranspiration (FAO-56 Penman-Monteith), crop water requirements through the growing season, and irrigation schedules under different supply assumptions, using climate data from the companion CLIMWAT database or your own records.
The software itself is old Windows freeware, but the methodology is the global standard for irrigation planning, and CROPWAT remains the reference implementation officials and lenders recognise. For scripted workflows, modern packages (pyet for ET, AquaCrop-OSPy for yield response) cover the same ground programmatically.
Ranked by the topics, categories and workflow stages they share with CROPWAT.
Reference and potential evapotranspiration in Python — 20+ published methods, FAO-56 included, on pandas/xarray.
Integrated water resources planning and policy analysis framework for basin-scale supply and demand modeling.
DHI's integrated hydrological model — coupled overland, unsaturated, groundwater and channel flow.
Browser-based rainfall frequency analysis — fit and rank 11 distributions with confidence intervals.
Statistical hydrology from HEC: Bulletin 17C flood frequency, volume-duration and general frequency analysis.
The USDA watershed model for land use, sediment and nutrients — continuous simulation at catchment scale.