The Alabama Water Resources Conference united more than 360 professionals, researchers and students to share innovations, foster collaboration and advance solutions for Alabama’s water future.
CIROH’s 2025 Science Meeting united more than 220 researchers, partners and federal collaborators to advance water prediction, celebrate research-to-operations breakthroughs and recognize outstanding achievements in hydrology.
Nine undergraduate students from across the nation spent ten weeks at The University of Alabama applying artificial intelligence to water forecasting through the AI for Operational Hydrology Research Experience for Undergraduates program, combining technical training with hands-on fieldwork and community engagement.
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.
The Alabama Water Institute has selected four UA faculty as 2025–28 fellows, advancing research in algae and coral science, water security, AI in hydrology and environmental modeling.
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.
More than 225 researchers, students and partners gathered at the University of Vermont for the 2025 CIROH Developers Conference.
The CIROH Developers Conference is back for its third year—this time with an even stronger focus on hands-on training and interdisciplinary collaboration.
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
Global water experts gathered in Tuscaloosa for HEPEX 2025, spotlighting breakthroughs in ensemble forecasting, AI modeling and CIROH’s role in shaping the future of hydrological prediction.
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