AI improves flood forecasts in the face of climate change

Researchers at Cornell have shown that AI-driven hydrological models provide more reliable flood projections than physical models alone, as the climate changes.

A study by Cornell University shows that hydrological models based on artificial intelligence can improve the reliability of flood projections in the context of climate change, where traditional physical models are proving increasingly limited in the face of ever more atypical rainfall patterns.

The researchers advocate a complementary approach rather than a complete replacement: physical models would remain the foundation, supported by machine learning components where historical data allows for a better understanding of local dynamics.