AI‐based runoff simulation based on remote sensing observations: A case study of two river basins in the United States and Canada

Abstract

Considering the complex nonlinearity and stochastic features of hydrological processes (e.g., precipitation, evapotranspiration, and temperature) and the individual characteristics of a basin, achieving an accurate prediction of discharge is a demanding task (Dinh et al., 2021;Gauch et al., 2021;Hassan & Hassan, 2021). In general, the approaches for streamflow prediction can be categorized into process-driven models