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.
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
University of Alabama researchers are using the state’s first combustion ion chromatography system to detect “forever chemicals,” in water.
NextGen In A Box (NGIAB) sets up in 30 minutes and integrates advanced hydrological tools for data processing, visualization, and modeling for researchers and agencies.
CIROH showcased advancements in water prediction and hydrology research at the AGU 2024 meeting.
The 2024 CIROH Science Meeting highlighted advances in hydrological forecasting, AI integration focused on collaboration, innovation, real-world solutions. Experts, federal partners, stakeholders discuss future of water research.
Researchers at The University of Alabama have co-authored a new study about mollusks that sheds new light on the complex relationships within the animal tree of life. Dr. Kevin Kocot and Meghan Yap-Chiongco in UA’s Department of Biological Sciences and Alabama Museum of Natural History are two of the authors of the study recently published…
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