This task develops a user-friendly online platform that provides seamless access to hydrogeologic data for scientists across domains. This tool enables researchers to utilize the data to generate algorithms and AI models via data access APIs.
This task builds on the foundational work of the EU-WATERRES project to advance scientific discovery in the following ways: (1) adding data layers describing surface water balance components; (2) including study areas with sufficiently dense in-situ observations, where correlation between such observations and GRACE-FO can be explored at a finer scale and used to develop downscaling algorithms; and (3) extending into new transboundary aquifers by performing water balance computations based on derived models, and validating them against local hydrologic and hydrogeological measurements.