10th Short Course on Fire Behaviour

1 November, 2026

 

The 10th Short Course on Fire Behaviour offers an intensive, full-day program that bridges fundamental fire science and applications for end-users (firefighters, fire managers, planners…). The course will explore the complex physical and environmental mechanisms that drive wildland fire spread, with a particular focus on large-scale fire dynamics. Participants will learn about the critical interactions between fire, vegetation, and the atmosphere, while also examining risk assessment strategies for the Wildland-Urban Interface (WUI). By covering the physics of large-scale phenomena, the impact of wildfires at the WUI, and the latest development in modelling, the course will provide a high-level overview of the cutting-edge tools currently used to understand and predict fire behaviour and fire impact at the landscape scale.

This Short Course will have live translation between portuguese and english (este curso terá tradução simultânea entre inglês e português).

Coordinated by Professor Albert Simeoni, from Worcester Polytechnic Institute, in the United States of America.

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Short Course Programme

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Short Course Lecturers

 

Extreme fire behaviour

Domingos Xavier Viegas, ADAI-CEIF, University of Coimbra, Portugal

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Behaviour and mechanism transformation in wildland fire spread

Liu NaianState Key Laboratory of Fire Science, University of Science and Technology of China, China

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Large Scale Fire Behaviour: Processes, Dynamics, and Implications

Jason Sharples, University of New South Wales, Australia

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An introduction to WUI fire risk assessment

Pascale Vacca, Polytechnic University of Catalonia, Spain

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Modeling the feedbacks between wildland fire and its environment

Rodman Linn, Los Alamos National Laboratory, United States of America

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Dynamics of Canopy-Wind Interaction in Vegetated Environments

Neda Yaghoobian, Florida State University, United States of America

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Fire-Atmosphere Interactions at Multiple Scales

Craig Clements, San Jose State University, United States of America

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Data assimilation for wildland fire behavior reanalysis

Mélanie Rochoux, CERFACS-CNRS, France

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