The Western United States Large Forest-Fire Stochastic  Simulator (WULFFSS) 1.0: a monthly gridded  forest-fire model using interpretable statistics

Williams, A. Park; Hansen, Winslow D.; Juang, Caroline S.; Abatzoglou, John T.; Radeloff, Volker C.; Wang, Bowen; Hall, Jazlynn; Buch, Jatan; Madakumbura, Gavin D.

doi:10.5194/gmd-19-1157-2026

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.

https://doi.org/10.5194/gmd-19-1157-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 3

Model description paper

|

04 Feb 2026

Model description paper |

| 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, Winslow D. Hansen, Caroline S. Juang, John T. Abatzoglou, Volker C. Radeloff, Bowen Wang, Jazlynn Hall, Jatan Buch, and Gavin D. Madakumbura

Supplement

https://doi.org/10.5194/gmd-19-1157-2026-supplement

Data sets

Data for The western United States large forest-fire stochastic simulator (WULFFSS) 1.0: A monthly gridded forest-fire model using interpretable statistics A. Park Williams https://doi.org/10.5061/dryad.63xsj3vdb

Model code and software

Code for The western United States large forest-fire stochastic simulator (WULFFSS) 1.0: A monthly gridded forest-fire model using interpretable statistics A. Park Williams https://doi.org/10.5281/zenodo.18102839

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.