From Algorithms to Swamps: Nine Students Explore Water Science with AI
This summer, nine students participated in the AI for Operational Hydrology REU, a partnership between the Cooperative Institute for Research to Operations in Hydrology and The University of Alabama Graduate School that focuses on applying artificial intelligence to water forecasting challenges.
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.