Nine undergraduate students from across the nation spent ten weeks at The University of Alabama applying artificial intelligence to water forecasting through the AI for Operational Hydrology Research Experience for Undergraduates program, combining technical training with hands-on fieldwork and community engagement.
From the lab to the field, new tools funded by the Alabama Water Institute are empowering UA researchers to solve Alabama’s most pressing water challenges.
CIROH researchers have harnessed NASA’s satellite data to sharpen a critical piece of flood forecasting: river slope. Their new datasets improve U.S. flood models by more than 30%, giving emergency managers faster, more reliable information to protect communities during extreme weather.
Springtime river ice floods threaten northern communities, but a CIROH-funded project is changing that. A team at Stevens Institute of Technology, led by Marouane Temimi, has developed a system that combines satellite imagery and machine learning to monitor river ice in near real-time.
UA graduate students hit the road for the Water-R2O NRT Operational Hydrology Study Tour, a three-day journey that showed them how scientists, forecasters and emergency managers team up to keep Southeast communities safe from floods.
The Alabama Water Institute has selected four UA faculty as 2025–28 fellows, advancing research in algae and coral science, water security, AI in hydrology and environmental modeling.
AWI’s Water-R2O NSF Research Traineeship program celebrated the graduation of its 2024-2025 cohort, capping a year of hands-on water science training that spanned the Southeastern U.S. and four European countries.
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.
AWI and CIROH highlighted their water resource management collaborations at the AMS 105th Annual Meeting.
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