Category Research


Machine Learning Model Improves River Flow Estimates in Ungauged Basins

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.


UA Researchers Tackle Water Challenges with AWI Equipment Grants

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 Framework Improves National Water Model Accuracy in Drought-Prone Western Watersheds

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.


Water-R2O Program Prepares Next Generation of Water Scientists with Real-World Focus

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.


Advancing Weather Monitoring in American Samoa: Bridging Critical Gaps in Forecasting

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


UA Researchers Detect ‘Forever Chemicals’ in Water with Unique Equipment

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): Revolutionizing Hydrological Modeling with a 30-Minute Setup

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 2024 Science Meeting: A Collaborative Look Toward The Future of Water Research

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.


UA Researchers Discover Evidence in Disputed Evolution of Mollusks

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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