Wildfires Modeling: Recent Trends, Current Progress and Future Directions

Dear Colleagues,

Over the last few decades, considerable efforts have been focused on developing and implementing relatively relevant statistical and physics-based models to account for the interactions between fire, vegetation, and the atmosphere. These models have led to a better understanding of the dynamics of fire spread in a landscape and are continuing to contribute to the state of art of wildfire science. However, despite considerable progress in modeling fire behavior, fire can still create unexpected scenarios for emergency services during real situations and result in significant injury, even fatalities, in addition to the numerous socioeconomic and the irreversible ecological impacts.

This Special Issue offers an opportunity for those involved in wildfire modeling to present their work in a dedicated volume. We therefore invite you to contribute articles to this Special Issue that highlight advances, new concepts, technical issues, and innovative research directions associated with wildfire modelling frameworks. Recently, using data assimilation and deep learning techniques to better predict wildfire behavior has aroused considerable interest. These emerging approaches coupled to standard models seem very promising. Contributions based on these different approaches and their coupling are highly appreciated. Any work on wildfire modeling that can provide new insights is welcome.

It is our hope that this Special Issue, dedicated to the latest developments in wildfire modelling, will help to promote discussion of numerous modeling issues and highlight synergies and connections across the various modeling platforms.

Dr. Sofiane Meradji
Dr. Maryam Ghodrat
Guest Editor

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