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  • Presentation | SY11B: Impactful Science: Methods and Metrics I Poster
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  • SY11B-0539: A Pathfinder for the Firemap Extended Attack Modeling in the Wildfire Science and Technology Commons
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  • Board 0539‚ Hall EFG (Poster Hall)
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Author(s):
Claire Stirm, University of California San Diego (First Author)
Ilkay Altintas, University of California San Diego (Presenting Author)
Melissa Floca, University of California San Diego
Kate O'Laughlin, University of California San Diego
Shweta Purawat, University of California San Diego
Dan Crawl, University of California San Diego
Jordan Combs, Spatial Informatics Group, LLC
Jessica Block, University of California San Diego
Gary Johnson, Spatial Informatics Group, LLC
David Saah, University of San Francisco
Jenny Lee, University of California San Diego
Adrienne Breland, University of California San Diego
Ismael Perez, University of California San Diego
Rawaf Al Rawaf, University of California San Diego
Christopher Lautenberger, CloudFire Inc


The January 2025 Los Angeles fires demonstrated the critical need for extended attack fire modeling capabilities that bridge initial response with long-term strategic planning.


The WIFIRE Firemap has been instrumental in supporting early fire suppression efforts through real-time fire behavior modeling. However, wildfires often burn for days or weeks, necessitating longer-term predictive capabilities. To address this challenge, the team has extended Firemap to forecast fire spread from modeling the first few hours past initial ignition to five days past initial ignition. This advancement integrates two additional fire behavior models, ELMFIRE and GridFire, extending forecasting capabilities from hours to five days. This development leveraged a containerized microservices architecture, enabling seamless integration of multiple fire models within a federated execution environment.


Firemap illustrates the power of collaborative open science approaches to wildfire management. However, solutions like Firemap are challenging to evaluate within the larger ecosystem of data, models, and services. The Wildfire Science & Technology Commons is a community platform designed to support fire modeling innovations, customizable workflows, and robust cataloging to recognize all the data, models, tools, and services the community provides for wildland fire pre-fire, active-fire, and post-fire phases.




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