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.
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.
Researchers are transforming weather forecasting in American Samoa by deploying AI and machine learning to enhance local monitoring and connecting the region to national and global climate models
TUSCALOOSA, Ala. — The Cooperative Institute for Research to Operations in Hydrology (CIROH) has announced the award of 34 new research projects aimed at advancing water prediction capabilities and enhancing community resilience. The selected projects, spanning institutions across the U.S. and Canada, represent cutting-edge research in hydrology, data science, community water modeling, decision support, and…
TUSCALOOSA, Ala. — The University of Alabama’s Alabama Water Institute and the Cooperative Institute for Research to Operations in Hydrology, or CIROH, are proud to announce their key contributions to a groundbreaking $5.8 million research project funded by the National Science Foundation through its Established Program to Stimulate Competitive Research, or EPSCoR. This initiative, which…
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