
AI Revolution in Flood Forecasting: Higher Accuracy than Traditional Methods
New research from the University of Minnesota Twin Cities, published on March 18, 2026, shows a breakthrough in flood forecasting using knowledge-guided machine learning. The model eliminates manual calibration and improves the accuracy of runoff and flood level predictions. This is important now: flood frequency is increasing, with Minnesota breaking records in recent years. The technology is ready for deployment in the US National Weather Service.
