The influence of variability on fire weather conditions in high latitude regions under present and future global warming

Recent years have seen unprecedented fire activity at high latitudes and knowledge of future wildfire risk is key for adaptation and risk management. Here we present a systematic characterization of the probability distributions (PDFs) of fire weather conditions, and how it arises from underlying meteorological drivers of change, in five boreal forest regions, for pre-industrial conditions and different global warming levels. Using initial condition ensembles from two global climate models to characterize regional variability, we quantify the PDFs of daily maximum surface air temperature (SATmax), precipitation, wind, and minimum relative humidity (RHmin), and their evolution with global temperature. The resulting aggregate change in fire risk is quantified using the Canadian Fire Weather Index (FWI). In all regions we find increases in both means and upper tails of the FWI distribution, and a widening suggesting increased variability. The main underlying drivers are the projected increase in mean daily SATmax and decline in RHmin, marked already at +1 and +2 °C global warming. The largest changes occur in Canada, where we estimate a doubling of days with moderate-or-higher FWI between +1 °C and +4 °C global warming, and the smallest in Alaska. While both models exhibit the same general features of change with warming, differences in magnitude of the shifts exist, particularly for RHmin, where the bias compared to reanalysis is also largest. Given its importance for the FWI, RHmin evolution is identified as an area in need of further research. While occurrence and severity of wildfires ultimately depend also on factors such as ignition and fuel, we show how improved knowledge of meteorological conditions conducive to high wildfire risk, already changing across the high latitudes, can be used as a first indication of near-term changes. Our results confirm that continued global warming can rapidly push boreal forest regions into increasingly unfamiliar fire weather regimes.

[1]  Matthew W. Jones,et al.  Global and Regional Trends and Drivers of Fire Under Climate Change , 2022, Reviews of Geophysics.

[2]  J. Stroeve,et al.  New climate models reveal faster and larger increases in Arctic precipitation than previously projected , 2021, Nature Communications.

[3]  B. Santer,et al.  Quantifying contributions of natural variability and anthropogenic forcings on increased fire weather risk over the western United States , 2021, Proceedings of the National Academy of Sciences.

[4]  Z. Klimont,et al.  Reviews and syntheses: Arctic fire regimes and emissions in the 21st century , 2021, Biogeosciences.

[5]  S. Veraverbeke,et al.  Overwintering fires in boreal forests , 2021, Nature.

[6]  Ralf Ludwig,et al.  Large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble , 2021 .

[7]  J. Randerson,et al.  Future increases in Arctic lightning and fire risk for permafrost carbon , 2021, Nature Climate Change.

[8]  P. Rasch,et al.  Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic , 2021, Nature Communications.

[9]  S. Coats,et al.  Human-driven greenhouse gas and aerosol emissions cause distinct regional impacts on extreme fire weather , 2021, Nature Communications.

[10]  R. Bintanja,et al.  Contribution of climatic changes in mean and variability to monthly temperature and precipitation extremes , 2021, Communications Earth & Environment.

[11]  M. Turetsky,et al.  Arctic fires re-emerging , 2020, Nature Geoscience.

[12]  Edward Hanna,et al.  Extreme weather and climate events in northern areas: A review , 2020 .

[13]  A. Arneth,et al.  Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project , 2020, Geoscientific Model Development.

[14]  M. Bell,et al.  Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change , 2020, Environmental research letters : ERL [Web site].

[15]  U. Bhatt,et al.  A Comparison of Fire Weather Indices with MODIS Fire Days for the Natural Regions of Alaska , 2020 .

[16]  R. Bintanja,et al.  Climate State Dependence of Arctic Precipitation Variability , 2020, Journal of Geophysical Research: Atmospheres.

[17]  J. Randerson,et al.  Insights from Earth system model initial-condition large ensembles and future prospects , 2020, Nature Climate Change.

[18]  Steven J. Smith,et al.  The generation of gridded emissions data for CMIP6 , 2020, Geoscientific Model Development.

[19]  C. Derksen,et al.  Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble , 2020, The Cryosphere.

[20]  K. Taylor,et al.  Causes of Higher Climate Sensitivity in CMIP6 Models , 2020, Geophysical Research Letters.

[21]  B. Samset,et al.  How Daily Temperature and Precipitation Distributions Evolve With Global Surface Temperature. , 2019, Earth's Future.

[22]  N. Gillett,et al.  The Canadian Earth System Model version 5 (CanESM5.0.3) , 2019, Geoscientific Model Development.

[23]  B. Stevens,et al.  The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability , 2019, Journal of Advances in Modeling Earth Systems.

[24]  J. Randerson,et al.  Lightning as a major driver of recent large fire years in North American boreal forests , 2017 .

[25]  Brian C. O'Neill,et al.  The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 , 2016 .

[26]  Cristina Santín,et al.  Global trends in wildfire and its impacts: perceptions versus realities in a changing world , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[27]  Michael Brauer,et al.  Critical Review of Health Impacts of Wildfire Smoke Exposure , 2016, Environmental health perspectives.

[28]  Grant J. Williamson,et al.  Climate-induced variations in global wildfire danger from 1979 to 2013 , 2015, Nature Communications.

[29]  M. Bottai,et al.  Mortality Related to Air Pollution with the Moscow Heat Wave and Wildfire of 2010 , 2014, Epidemiology.

[30]  Adrian V. Rocha,et al.  Postfire energy exchange in arctic tundra: the importance and climatic implications of burn severity , 2011 .

[31]  N. Mölders Comparison of Canadian Forest Fire Danger Rating System and National Fire Danger Rating System fire indices derived from Weather Research and Forecasting (WRF) model data for the June 2005 Interior Alaska wildfires , 2010 .

[32]  E. Kasischke,et al.  Recent changes in the fire regime across the North American boreal region—Spatial and temporal patterns of burning across Canada and Alaska , 2006 .

[33]  Martin E. Alexander,et al.  Information systems in support of wildland fire management decision making in Canada , 2002 .

[34]  Emilio Chuvieco,et al.  A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data , 2020 .

[35]  J. Fyfe,et al.  Projected changes in regional climate extremes arising from Arctic sea ice loss , 2015 .

[36]  Kerry Anderson,et al.  Updated source code for calculating fire danger indices in the Canadian Forest Fire Weather Index System , 2015 .

[37]  C. E. Van Wagner,et al.  Development and structure of the Canadian Forest Fire Weather Index System , 1987 .