Workshop : 03/11/2025 - 07/11/2025

Institut d’Études scientifiques de Cargèse , Corsica, France

Numerical Wildfire and AI Weather2025

Numerical Wildfire and AI Weather is a small, high-level scientific workshop bringing together leading experts in weather AI, numerical wildfire forecasting, and fire-atmosphere interactions. The workshop is designed as an intensive, on-site event. Unlike large conferences, this small-group format allows for extended scientific exchanges, joint project work, and a strong interdisciplinary approach. 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.

Workshop Registration

To register for the workshop, please submit a short 300m abstract with a title and register at the following address:
👉 https://iesc-inscriptions.fr

For any inquiries, contact: filippi_j@univ-corse.fr

Participants are invited to select one of the two main themes:

• Weather and AI
• Digital simulation of forest fires

The editorial committee will assign abstracts to one of the two themes. Decisions will be made before October, but abstracts must be submitted by September 20.

We are currently accepting registrations for those wishing to participate. There will be an approximate (depending on number of days and accomodation type) 400€ fee covering accommodation and lunch only, people must be on-site and encouraged to stay for the week. It is **free for the members of the University of Corsica **.

Workshop details

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.

🔥 Key Topics:

• Fire propagation modeling and fire-atmosphere coupling
• AI applications for wildfire and extreme weather events prediction
• AI methods for weather forecasting and downscaling
• Data-driven applications for renewable energy production
• AI approaches for wildfire data assimilation
• Uncertainty quantification and ensemble forecasting for wildfires
• Real-time monitoring and prediction systems
• Risk analysis and hazard mapping
• Operational decision support systems for emergency response
• Wildfire resilience strategies for urban and peri-urban environments