Abstract Climate is a key driver of spatiotemporal variability in wildfire regimes. Increasingly warmer temperatures and changes in precipitation patterns are linked to an increase in fire danger across the world. There is therefore a need to develop the most reliable projections of future climate-driven fire danger to enable decision makers and forest managers to prepare for and respond to future fire events. Earth System Model (ESM) simulations are the foundation for understanding future changes in fire-conducive weather associated with a warming world. Fire weather projections have typically been expressed by a single model or through a multi-model mean, with the models’ relative strengths and weaknesses rarely taken into consideration. This study presents a novel set of future scenarios in fire-prone conditions, defined by the Fire Weather Index, using a statistical weighting approach that specifically accounts for the performance and interdependence of 26 ESMs from the sixth phase of the Coupled Model Intercomparison Project (CMIP6). When compared with reanalysis-derived data from 1980 to 2014, the weighting approach substantially reduces multi-model bias, thereby demonstrating its added value in accounting for and reducing model uncertainties. The weighted projections reveal significant increases in seasonal fire weather conditions across 68–91% of the world’s fire-prone area by the end of the 21st century, depending on the emission scenario. Additionally, at least 55% of fire-prone area is expected to be associated with a significant increase in fire weather conditions by 2040. The conclusions highlight the potential benefit to targeted prevention strategies and long-term fire management.
Gallo et al. (Fri,) studied this question.