CIROH showcased national leadership at the 2025 AGU Meeting, contributing to more than 30 sessions on flood prediction, AI-enabled modeling, community water science and workforce development. CIROH researchers highlighted advances in next-generation water prediction systems while engaging global audiences on research to operations, collaboration and societal impact.
CIROH announces $25.5 million in funding for 47 new research projects that will help communities better prepare for floods, droughts and changing water conditions. Supported by NOAA and USGS, this work will improve water forecasting tools, expand the use of AI, strengthen coastal and flood prediction and advance new observing technologies to turn cutting-edge science…
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 Resources Conference united more than 360 professionals, researchers and students to share innovations, foster collaboration and advance solutions for Alabama’s water future.
CIROH hosted its fourth annual Science Meeting September 15–18. The event brought together more than 220 researchers, federal partners and collaborators to share advances in water science, strengthen partnerships and accelerate the transition of research into operations.
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.
Tuscaloosa, a town synonymous with SEC football, becomes the epicenter of America’s next-generation water workforce development each summer.
More than 225 researchers, students and partners gathered at the University of Vermont for the 2025 CIROH Developers Conference.
CIROH’s new Student Developer Award spotlights early career innovation. Winner Savalan Naser Neisary shares how DevCon and mentorship are shaping his path.
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.
