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.
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.
UA graduate students hit the road for the Water-R2O NRT Operational Hydrology Study Tour, a three-day journey that showed them how scientists, forecasters and emergency managers team up to keep Southeast communities safe from floods.
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