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Google Research·· 2026-03-12SelectedAI score62

Protecting cities with AI-driven flash flood forecasting

Protecting cities with AI-driven flash flood forecasting

AI introduction

Google announced urban flash flood forecasting on Flood Hub, predicting risk up to 24 hours ahead. The model uses an LSTM architecture, trained on the Groundsource dataset of historical flash floods extracted from news reports with Gemini, relying only on global weather products, at 20x20 km resolution covering urban areas with population density above 100 people per square kilometer.

Why it matters

The original provides the model method, coverage, and accuracy comparisons against the NWS, letting readers understand a viable path for urban flash flood forecasting.

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Source: Google Research · research.google

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