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AI Improves Long-Term Flood Forecasting

Researchers developed advanced deep learning models incorporating attention mechanisms to identify important patterns in rainfall and river flow data, then combined the models’ predictions using a fusion approach to improve flood forecasting accuracy.
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Australian scientists have developed a method combining multiple deep learning models, improving flood forecasting efficiency by approximately 47% and maintaining accuracy over a forecast period of up to 12 weeks. China applies AI in flood control; AI revolutionizes disaster forecasting; Google launches first AI model for hourly global weather forecasting.

(Dan Tri Newspaper) - An international research team has developed artificial intelligence (AI) models capable of improving the accuracy of long-term flood forecasts, helping communities receive warnings weeks in advance.

Vicente Huertas, CEO of Indra Group for the Southern Cone and Peru, discussed at the Summit Citizen Security and Emergencies of Fundación País Digital how to integrate information from cameras, satellites and sensors to anticipate risks and guide disaster response. Knowing that a river could overflow is an important alert, but knowing which sector [...]

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preventionweb.net broke the news on Tuesday, October 13, 2026.
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