Attribution of observed pan-Arctic extreme fire events to anthropogenic forcings
Bibliographic Data
| ID | 15544693 |
|---|---|
| Authors | Lukas Fiedler (0009-0006-8927-2396, Universität Hamburg, corresponding author), Armineh Barkhordarian (0000-0001-9786-8081, Universität Hamburg), Victor Brovkin (0000-0001-6420-3198, Max Planck Institute for Meteorology), Johanna Baehr (0000-0003-4696-8941, Universität Hamburg) |
| Year | 2026 |
| Volume | 21 |
| Issue | 6 |
| Pages | 064001-064001 |
| Publication date | 2026-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ae4d64 |
| OpenAlex | W7133541751 |
| Language | EN |
| References cited | 74 |
Over the past two decades, the pan-Arctic has experienced rapid climatic change, accompanied by an unprecedented rise in extreme wildfire activity. However, a systematic and regionally comprehensive assessment of the recent extreme fire events in the pan-Arctic and the role played by human emissions is still pending. In this study, we apply a probability-based extreme event attribution framework to evaluate the role of anthropogenic forcings in enabling the extreme pan-Arctic wildfire seasons of 2019, 2020, and 2021. Using large ensemble simulations with the Community Earth System Model version 2, capable of isolating anthropogenic climate forcings, alongside remote sensing burned area products and ERA5 reanalysis, we assess both magnitude (burned area) and extreme fire risk (Canadian Forest Fire Weather Index, FWI). Our results demonstrate that anthropogenic forcings were a necessary condition for the occurrence of these extreme events: the fraction of attributable risk (FAR) exceeded 0.75 for burned area and reached virtual certainty (FAR > 0.99) for FWI in 2020 and 2021. However, the probability of sufficient causation remained low, highlighting that anthropogenic forcings alone are not enough to guarantee such extreme wildfire events. Risk ratios (RRs) indicate that recent extremes have become over 200 times more likely compared to a climate without anthropogenic influence (RR = 235 [5%–95% CI: 98–489], in 2021). By decomposing FWI, we show that temperature and humidity dominate the recent increase in fire weather risk, supported by a substantial elevation in vapor pressure deficit over the pan-Arctic region
Climate change · Climate extremes · Climate model · Extreme weather · Global warming · Fire Detection and Safety Systems · Fire effects on ecosystems · Knowledge Management and Technology
Human contribution to the European heatwave of 2003
The Community Earth System Model Version 2 (Cesm2)
Global and Regional Trends and Drivers of Fire Under Climate Change
Vegetation fires in the Anthropocene
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
Attribution of extreme weather and climate‐related events
Observed links between heatwaves and wildfires across Northern high latitudes
Siberian taiga and tundra fire regimes from 2001–2020
Focus on changing fire regimes
Precipitation-induced abrupt decrease of Siberian wildfire in summer 2022 under continued warming
Wildfires in the Siberian taiga
| Citation velocity | historical |
|---|---|
| Highly cited | No |