Abstract

Weather and climate play an important role in shaping globalwildfire regimes and geographical distributions of burnable area. Asprojected by the Sixth Assessment Report of the Intergovernmental Panel onClimate Change (IPCC-AR6), in the near future, fire danger is likely toincrease in many regions due to warmer temperatures and drier conditions.General circulation models (GCMs) are an important resource in understandinghow fire danger will evolve in a changing climate, but, to date, thedevelopment of fire risk scenarios has not fully accounted for systematicGCM errors and biases. This study presents a comprehensive global evaluationof the spatiotemporal representation of fire weather indicators from theCanadian Forest Fire Weather Index System simulated by 16 GCMs from thesixth Coupled Model Intercomparison Project (CMIP6). While at the globalscale, the ensemble mean is able to represent variability, magnitude andspatial extent of different fire weather indicators reasonably well whencompared to the latest global fire reanalysis, there is considerableregional and seasonal dependence in the performance of each GCM. To supportthe GCM selection and application for impact studies, the evaluation resultsare combined to generate global and regional rankings of individual GCMperformance. The findings highlight the value of GCM evaluation andselection in developing more reliable projections of future climate-drivenfire danger, thereby enabling decision makers and forest managers to taketargeted action and respond to future fire events.

Published in

Geoscientific Model Development
2023, Volume: 16, number: 10, pages: 3103-3122
Publisher: COPERNICUS GESELLSCHAFT MBH

SLU Authors

• Drobyshev, Igor

  • Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences
    
  • Russian Academy of Sciences
  • Université du Québec en Abitibi-Témiscamingue (UQAT)

Associated SLU-program

SLU Forest Damage Center


UKÄ Subject classification

Forest Science
Climate Research


Publication identifier

DOI: https://doi.org/10.5194/gmd-16-3103-2023

Permanent link to this page (URI)

https://res.slu.se/id/publ/122703