Category Research

New Equipment Strengthens UA Water Research Across Disciplines

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.

New Satellite-Derived River Slope Database Helps Improves U.S. Flood Forecasts

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.

UA Researchers to Develop Digital Twin Systems to Track Water Resources for AI Infrastructure

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.

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.

Mailing Address

Office Location