Adjusting rainfall inputs to hydrological models in a data-scarce area of Southern Africa

Abstract

A recent study in headwater sub-basins of the Zambezi River concluded that a machine learning model (HydroForecast) outperformed a deterministic monthly time-step water balance model (Pitman) when ...