Water management starts with the understanding of the spaciotemporal distribution of the available water, uses, and losses. A planet with limited water resources needs accurate, reliable and frequently-updated data and tools to assess and monitor historical and current uses and plan for future needs. Scientists at EROS harness massive amounts of satellite and global weather datasets and integrate them with agro-hydroloic models to create multi-scale products for use by resource managers and researchers across the world for improved decision making and scenario building in water, agriculture, and natural resources.
Agro-hydrologic research focuses on hydrologic processes between 2-m below and 2-m above the ground surface. A range of modeling techniques (physics-based, statistical, and AI/ML) are employed to quantify soil moisture, runoff, and evapotranspiration (ET) over large areas and long time series to understand trends and spatiotemporal dynamics with a particular focus on ET, water use, and drought. Furthermore, the complex associations among fire, landcover, and hydrologic regimes are investigated.
