The Alabama Water Institute continues to support its affiliated faculty members and their research across The University of Alabama with new tools that expand capabilities in labs and in the field.
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.
Dr. Jonathan Frame has secured a National Science Foundation grant to investigate how expanding AI infrastructure will impact water resources—a critical issue he believes will define the next decade of water management.
Tuscaloosa, a town synonymous with SEC football, becomes the epicenter of America’s next-generation water workforce development each summer.
CONSERVE partnered with tribal nations and local officials in Oklahoma for a tabletop exercise aimed at improving flood preparedness and response. The event highlighted the value of local knowledge, cross-jurisdictional collaboration and new NOAA visualization tools in tackling complex flood risks.
Ian Brunetz has received the prestigious Barry Goldwater Scholarship for his research in freshwater ecology. His interdisciplinary work on freshwater mussels highlights his dedication to advancing aquatic science and science communication.
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 tool sharpens National Water Model forecasting—cutting bias, boosting accuracy and helping water managers respond to drought across the Western U.S. and beyond.
The University of Alabama's Water-R2O NRT program welcomes third cohort of graduate students for study tours, seminars and international experiences while developing cutting-edge skills in machine learning applied to hydrologic prediction.
