AWI’s CONSERVE team is working with tribal partners across 12 states to map rivercane and build a traits database that supports both ecosystem restoration and cultural traditions. Their recent presentation in Florida highlighted how the project strengthens conservation and tribal heritage.
A new three-year initiative will track PFAS contamination in coastal waters across Alabama and Mississippi, producing the first published data on these persistent chemicals in Gulf Coast waters for the region.
CIROH is building on the momentum of AGU24 as it prepares for AGU25 in New Orleans, where leaders in Earth and space science will gather under the theme “Where Science Connects Us.”
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.
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.
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.
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.
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.
