Groundwater Resilience Assessment through iNtegrated Data Exploration 

 This project aims to develop solutions to the persistent problem of accurately assessing groundwater (GW), which is the main source of drinking water for over 2 billion people globally. Understanding GW dynamics and resilience and achieving integrated water balance parameterization in transboundary regions at finer spatial and temporal scales is a key component of the challenge. Our hypothesis is that integrating hydrogeologic models with satellite and ground-based data to increase the resolution of remote sensing information will allow us to create highly detailed predictions of changes in GW storage and flows across borders.

To accomplish this goal, this project will bring together researchers representing several domains including hydrology and hydrogeology, data science and artificial intelligence, and participatory simulation modeling. Our convergence approach will integrate cutting-edge, data-intensive capabilities in completely new ways to advance the assessment of GW resilience and contextualize findings to facilitate informed water resource management.