Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1157-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-1157-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Feb 2026
Model description paper |
| 04 Feb 2026
| 04 Feb 2026
The Western United States Large Forest-Fire Stochastic Simulator (WULFFSS) 1.0: a monthly gridded forest-fire model using interpretable statistics
A. Park Williams
CORRESPONDING AUTHOR
Department of Geography, University of California, Los Angeles, Los Angeles, CA, USA
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, USA
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Winslow D. Hansen
Cary Institute of Ecosystem Studies, Millbrook, NY, USA
Caroline S. Juang
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Department of Earth and Environmental Sciences, Columbia University, New York, NY, USA
John T. Abatzoglou
Management of Complex Systems Department, University of California, Merced, Merced, CA, USA
Volker C. Radeloff
SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, Madison, Wisconsin, USA
Bowen Wang
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Jazlynn Hall
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Jatan Buch
Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA
Gavin D. Madakumbura
Department of Geography, University of California, Los Angeles, Los Angeles, CA, USA
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Short summary
The new Western United States Large Forest Fire Stochastic Simulator (WULFFSS) is a monthly gridded model to simulate forest fires across the western United States in response to vegetation, topographic, anthropogenic, and climate factors. The model is highly skillful, accounting for over 80 % of the observed variability in annual forest-fire area and capturing observed spatial, intra-annual variations, and trends.
The new Western United States Large Forest Fire Stochastic Simulator (WULFFSS) is a monthly...
