Development of a New Generic AI Model for Spatio‐Temporal Prediction of Soil Moisture and Soil Water Isotopes
A data‐driven Artificial Intelligence approach was applied in a first attempt to simulate daily soil moisture and soil water isotopes across soil profiles of a mixed land use catchment using parsimonious climate and vegetation predictors, outperforming a process‐based model previously applied in the catchment.