Dynamic integration of GRACE-based water storage into global hydrological models using machine learning
Groundwater storage (GWS) is a critical component of the hydrologic cycle. Accurate representation of GWS dynamics is crucial for water availability estimates in global hydrological models (GHMs). This study explores the enhancement of grid-level water availability estimates by dynamically coupling machine learning (ML...