Google Research· Research

Protecting cities with AI-driven flash flood forecasting

Oleg Zlydenko, Software Engineer, and Deborah Cohen, Research Scientist, Google Research We’re expanding our global flood forecasting coverage with the roll-out of flash flood predictions in urban areas. Using a novel AI training method based on news data, we provide up to 24 hours advance notice for these rapid-onset events. This expansion is a critical step to enhancing global climate resilience and keeping communities safe. Quick links Paper Groundsource Blog Groundsource dataset Flood Forecasting Initiative Share Copy link × According to the World Meteorological Organization (WMO), flash floods account for approximately 85% of flood related fatalities worldwide. They typically occur within six hours of heavy rain, turn city streets into gushing rivers, and take more than 5,000 lives annually , making them one of the world’s deadliest disasters. Early warning systems (EWS) are essential for keeping communities safe and informed. They have been proven to save lives and mitigate damage: even a 12-hour lead time can provide a 60% reduction in flash flood damage. …

Announced

12 Mar 2026 13:03 UTC