Numerical wildfire and AI Weather

Organized by Jean-Baptiste Filippi

The goal is to bridge the gap between cutting-edge research and operational needs by focusing on real-world applications of AI, numerical modeling, and risk assessment.

The first two days will focus on wildfire science, exploring fire-atmosphere interactions, numerical fire spread models, and operational forecasting challenges. Experts will discuss the latest advancements in fire behavior prediction, risk assessment, and real-time monitoring.

The next two days will shift towards AI-driven forecasting of extreme weather events, with sessions on machine learning methods and applications for high-impact meteorological phenomena. Topics include AI-enhanced numerical weather prediction, uncertainty quantification, and applications for emergency response.
The final day (morning) will synthesize findings and make contact with practitioners in France and Corsica.

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