Month May 2025


Machine Learning Model Improves River Flow Estimates in Ungauged Basins

Most rivers lack gauges, leaving gaps in flood forecasting, water management and emergency planning. This new machine learning approach uses downstream data to predict upstream flow with no sensors needed.


UA Researchers Tackle Water Challenges with AWI Equipment Grants

Alabama Water Institute's $180,640 in grants equips UA researchers with cutting-edge technology to tackle pressing water challenges, from removing "forever chemicals" to developing autonomous monitoring systems. The eight funded projects span multiple disciplines and support AWI's mission to enhance water research capabilities through innovative technology and cross-disciplinary collaboration.


New Machine Learning Framework Improves National Water Model Accuracy in Drought-Prone Western Watersheds

New machine learning tool sharpens National Water Model forecasting—cutting bias, boosting accuracy and helping water managers respond to drought across the Western U.S. and beyond.


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