首页|Interannual variability and climatic sensitivity of global wildfire activity

Interannual variability and climatic sensitivity of global wildfire activity

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  • 国家科技期刊平台
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Understanding historical wildfire variations and their environmental driving mechanisms is key to predicting and mitigating wildfires.However,current knowledge of climatic responses and regional contributions to the interannual variability(IAV)of global burned area remains limited.Using recent satellite-derived wildfire products and simulations from version v1.O of the land component of the U.S.Department of Energy's Energy Exascale Earth System Model(E3SM land model[ELM]v1)driven by three different climate forcings,we investigated the burned area IAV and its climatic sensitivity globally and across nine biomes from 1997 to 2018.We found that 1)the ELM simulations generally agreed with the satellite observations in terms of the burned area IAV magnitudes,regional contributions,and covariations with climate factors,confirming the robustness of the ELM to the usage of different climate forcing sources;2)tropical savannas,tropical forests,and semi-arid grasslands near deserts were primary contributors to the global burned area IAV,collectively accounting for 71.7％—99.7％of the global wildfire IAV estimated by both the satellite observations and ELM simulations;3)precipitation was a major fire suppressing factor and dominated the global and regional burned area IAVs,and temperature and shortwave solar radiation were mostly positively related with burned area IAVs;and 4)noticeable local discrepancies between the ELM and remote-sensing results occurred in semi-arid grasslands,croplands,boreal forests,and wetlands,likely caused by uncertainties in the current ELM fire scheme and the imperfectly derived satellite observations.Our findings revealed the spatiotemporal diversity of wildfire variations,regional contributions and climatic responses,and provided new metrics for wildfire modeling,facilitating the wildfire prediction and management.

WildfireBurned areaClimatic sensitivityE3SM land modelGlobal fire emission database

Rongyun TANG、Jiafu MAO、Mingzhou JIN、Anping CHEN、Yan YU、Xiaoying SHI、Yulong ZHANG、Forrest M.HOFFMAN、Min XU、Yaoping WANG

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Institute for a Secure and Sustainable Environment,University of Tennessee,Knoxville,37996,USA

Environmental Sciences Division and Climate Change Science Institute,Oak Ridge National Laboratory,Oak Ridge,37830,USA

Department of Biology and Graduate Degree Program in Ecology,Colorado State University,Fort Collins,80523,USA

Atmospheric and Oceanic Sciences Program,Princeton University,Princeton,08544,USA

Computational Sciences and Engineering Division and Climate Change Science Institute,Oak Ridge National Laboratory,Oak Ridge,37830,USA

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This work is supported by the Terrestrial Ecosystem Sci-ence Scientific Focus Area project and the Reducing Un-certainties in Biauthors also acknowledge Dr.Daniel Ricciuto for his contribution to the global ELM simulationsOak Ridge National Laboratory is supported by the Office of Science of the U.S.Department of Energy under Contract No.DE-AC05-00

2021

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

CSCDSCI
影响因子：0.806
ISSN：1674-9278
年,卷(期)：2021.12(5)
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