Data-driven wildfire spread modeling


Developed in collaboration between CERFACS and the University of Maryland, FireFly is a data-driven front-tracking simulator based on the assimilation of thermal-infrared imaging data, with the goal to improve wildfire spread forecasting for public safety and environmental protection. #environmental risk #wildfire spread #fire modeling #data assimilation #infrared data

While FireFly’s forecast capabilities are still at an early stage of development, it is envisioned that they will be similar to current weather forecast capabilities and that they will provide real-time fire forecasts using thermal-infrared imaging including a description of both wildfire dynamics and plume emissions.

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Hello FireFly!

Welcome to FireFly’s webpage! Do not hesitate to post comments! The source code is not yet available, but it is surely incoming! Enjoy!    

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