the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 11 Nov 2026
State of Wildfires 2025–2026
Chantelle A. Burton
Francesca Di Giuseppe
Matthew W. Jones
Maria L. F. Barbosa
Joe McNorton
Bob Potts
Carlota Segura-Garcia
John T. Abatzoglou
Iulian Alin Rosu
Niels Andela
Liana O. Anderson
Sally Archibald
Esther Brambleby
Emilio Chuvieco
Andrew Ciavarella
Hamish Clarke
Francisco de la Barrera
Carlos M. Di Bella
Enza Di Tomaso
Kebonye Dintwe
Tim S. Doherty
Victoria M. Donovan
Jonathan M. Eden
Paulo M. Fernandes
Lukas Fiedler
Louis Giglio
Olivia Haas
Douglas S. Hamilton
Stijn Hantson
Sarah Harris
Andrew J. Hartley
Theo Keeping
Crystal A. Kolden
Jean-Luc Kouassi
Elena Kukavskaya
Seppe Lampe
Zhongwei Liu
Guilherme Mataveli
Sarah Meier
Duarte Oom
Mark Parrington
Yuquan Qu
Victor Resco de Dios
Julien Ruffault
Mojtaba Sadegh
Cristina Santín
Fernando Sedano
Jacquelyn K. Shuman
Patrícia S. Silva
Fiona R. Spuler
Carmen B. Steinmann
Veerachai Tanpipat
Miguel Ángel Torres-Vazquez
Marco Turco
Guido R. van der Werf
Dave van Wees
Sander Veraverbeke
Jakob B. Wessel
Data sets
Regional Summaries of Burned Area, Fire Emissions, and Individual Fire Characteristics for National, Administrative and Biogeographical Regions M. W. Jones et al. https://doi.org/10.5281/zenodo.21262381
Updates to the Global Fire Atlas of individual fire size, duration, speed and direction N. Andela and M. W. Jones https://doi.org/10.5281/zenodo.21262381
Population Exposure to Wildfire data S. Teymoor Seydi et al. https://doi.org/10.5281/zenodo.20787866
Physical Asset Exposure to Wildfire data are available at Steinmann C. B. Steinmann et al. https://doi.org/10.5281/zenodo.21332621
Daily mean PM2.5 surface concentrations aggregated by Continent, Biome, Country, and Administrative Region data E. Di Tomaso et al. https://doi.org/10.5281/zenodo.21277053
Protected Areas Exposure to Fire data À. Cunill Camprubí et al. https://doi.org/10.5281/zenodo.20764120
Forest Carbon Project Exposure to Fire data N. Andela et al. https://doi.org/10.5281/zenodo.21430353
Anomalies in Extreme Fire Weather Days by Continent, Biome, Country, and Administrative Region M. Turco et al. https://doi.org/10.5281/zenodo.20757872
Data for "Large-scale modelled impacts of the 2025 Canadian wildfires" by Rosu et al. I.-A. Rosu et al. https://doi.org/10.5281/zenodo.20523005
ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac
Observation and ERA5-Land derived 9 km global daily fire fuel characteristics since 2003 European Centre for Medium-Range Weather Forecasts (ECMWF) https://doi.org/10.24381/378d1497
FWI calculated from HadGEM3-A and Present-Day Attribution using HadGEM3-A large ensemble data A. Hartley et al. https://doi.org/10.5281/zenodo.21379381
State of Wildfires 2025-26: Present-Day Attribution and Future Projections of Focal Events Using FWI7X Z. Liu and J. Eden https://doi.org/10.5281/zenodo.20827512
HadGEM3-A historical data Met Office http://catalogue.ceda.ac.uk/uuid/99b29b4bfeae470599fb96243e90cde3
WWA Attribution and Future Projection of Focal Events Using FWI95 data T. Keeping https://doi.org/10.5281/zenodo.21374687
State of Wildfires 2025-26: Midwestern Canadian Shield Forests Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21468717
State of Wildfires 2025-26: Northwest Iberia Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21458571
State of Wildfires 2025-26: Chilean Temperate Forests and Matorral Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21459106
JULES-ES bias adjustment data J. Wessel and F. Spuler https://doi.org/10.5281/zenodo.21397548
BuRNN: A Data-Driven Fire Model S. Lampe https://doi.org/10.5281/zenodo.17778519
BuRNN (v1.0): a data-driven fire model S. Lampe et al. https://doi.org/10.5194/gmd-19-955-2026
Wildfires on a changing planet O. Haas et al. https://doi.org/10.1038/s41467-025-68176-4
Model code and software
State of Wildfires 2025-26: Present-Day Attribution and Future Projections of Focal Events Using FWI7X Z. Liu and J. Eden https://doi.org/10.5281/zenodo.20827512
State of Wildfires 2025-26: WWA Attribution and Future Projection of Focal Events Using FWI95 T. Keeping https://doi.org/10.5281/zenodo.21374687
douglask3/State_of_Wildfires_report: State of Wildfires 2025-26: FWI attribution model (Versions Sow2526_v0.1) C. Burton et al. https://doi.org/10.5281/zenodo.21499355
Data for "Large-scale modelled impacts of the 2025 Canadian wildfires" by Rosu et al. I.-A. Rosu et al. https://doi.org/10.5281/zenodo.20523005
State-of-Wildfires_CLIMADA Carmen B. Steinmann https://doi.org/10.5281/zenodo.21393395
State of Wildfires 2025-26: ConFLAME (Versions SoW2526_v0.1) D. Kelley et al. https://doi.org/10.5281/zenodo.21473591
VUB-HYDR/BuRNN: Version 1.1 (Version v1.1) S. Lampe https://doi.org/10.5281/zenodo.17834206
BuRNN (v1.0): a data-driven fire model S. Lampe et al. https://doi.org/10.5194/gmd-19-955-2026
Wildfires on a changing planet O. Haas et al. https://doi.org/10.1038/s41467-025-68176-4
Set up the models O. Haas https://doi.org/10.6084/m9.figshare.24764583
Run models O. Haas https://doi.org/10.6084/m9.figshare.24764577
Results scripts O. Haas https://doi.org/10.6084/m9.figshare.24764571
