US wildfire potential: a historical view and future projection using high-resolution climate data

被引:40
|
作者
Brown, Emily K. [1 ,2 ]
Wang, Jiali [1 ]
Feng, Yan [1 ]
机构
[1] Argonne Natl Lab, Environm Sci Div, Argonne, IL 60439 USA
[2] Ctr Coll Danville, Danville, KY USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2021年 / 16卷 / 03期
关键词
wildfire potential; Keetch– Byram Drought Index; climate change impacts;
D O I
10.1088/1748-9326/aba868
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent wildfires in the western United States have led to substantial economic losses and social stresses. There is a great concern that the new climatic state may further increase the intensity, duration, and frequency of wildfires. To examine temporal and spatial features of historical wildfire trends and future changes, a common fire index, the Keetch-Byram Drought Index (KBDI), is calculated over the contiguous United States (CONUS) and Alaska. We introduce an efficient initialization method and calculate 36 years (1982-2017) of historical KBDI at 4 km using a high-quality observational dataset. KBDIs are also calculated at 12 km using regional climate models and extended into the mid- and late-21st century. Based on the observational data, annual mean (and 95th percentile) KBDI over forested regions in the southwestern and northwestern CONUS has risen since 1982 at a rate of 5.2 (4.0) and 2.9 (3.3) per year, respectively, indicating a persistent drying trend fostering fire activities; the number of days exceeding the top 5% historical KBDI has increased by 16 and 25 d in the 36 years. Multiple regional climate model simulations project increasing wildfire potential and longer fire seasons over broader areas based on the estimated KBDI for the mid- and late-21st century. By the end of the century, most of the CONUS would experience about 90-189 more days per year exceeding the historical local maximum KBDI; areas with high KBDI (>600), whose occurrence correlates with large burned area, are projected to broaden by nearly 60 times in the southern CONUS. While both temperature and precipitation contribute to future KBDI changes, warming is the main driver of more frequent, intense and wide-spread extreme wildfires indicated by high KBDIs in future projections.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Estimating the potential evapotranspiration of Bulgaria using a high-resolution regional climate model
    Anwar, Samy A.
    Malcheva, Krastina
    Srivastava, Ankur
    THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 152 (3-4) : 1175 - 1188
  • [22] Analysis of climate variability and droughts in East Africa using high-resolution climate data products
    Gebrechorkos, Solomon H.
    Huelsmann, Stephan
    Bernhofer, Christian
    GLOBAL AND PLANETARY CHANGE, 2020, 186 (186)
  • [23] Defining Philippine Climate Zones Using Surface and High-Resolution Satellite Data
    Corporal-Lodangco, Irenea L.
    Leslie, Lance M.
    COMPLEX ADAPTIVE SYSTEMS CONFERENCE WITH THEME: ENGINEERING CYBER PHYSICAL SYSTEMS, CAS, 2017, 114 : 324 - 332
  • [24] Assessments of future climate extremes in China by using high-resolution PRECIS 2.0 simulations
    Chunchun Meng
    Lei Zhang
    Peng Gou
    Qianqian Huang
    Yaoming Ma
    Shiguang Miao
    Weiqiang Ma
    Yinlong Xu
    Theoretical and Applied Climatology, 2021, 145 : 295 - 311
  • [25] Feature tracking in high-resolution regional climate data
    Massey, Neil R.
    COMPUTERS & GEOSCIENCES, 2016, 93 : 36 - 44
  • [26] Assessments of future climate extremes in China by using high-resolution PRECIS 2.0 simulations
    Meng, Chunchun
    Zhang, Lei
    Gou, Peng
    Huang, Qianqian
    Ma, Yaoming
    Miao, Shiguang
    Ma, Weiqiang
    Xu, Yinlong
    THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 145 (1-2) : 295 - 311
  • [27] A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices
    Mistry, Malcolm N.
    DATA, 2019, 4 (01)
  • [28] High-resolution land use and land cover dataset for regional climate modelling: historical and future changes in Europe
    Hoffmann, Peter
    Reinhart, Vanessa
    Rechid, Diana
    de Noblet-Ducoudre, Nathalie
    Davin, Edouard L.
    Asmus, Christina
    Bechtel, Benjamin
    Boehner, Juergen
    Katragkou, Eleni
    Luyssaert, Sebastiaan
    EARTH SYSTEM SCIENCE DATA, 2023, 15 (08) : 3819 - 3852
  • [29] Dynamical Downscaling for Climate Projection with High-Resolution MRI AGCM-RCM
    Kitoh, Akio
    Ose, Tomoaki
    Takayabu, Izuru
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2016, 94A : 1 - 16
  • [30] HCPD-CA: high-resolution climate projection dataset in central Asia
    Qiu, Yuan
    Feng, Jinming
    Yan, Zhongwei
    Wang, Jun
    EARTH SYSTEM SCIENCE DATA, 2022, 14 (05) : 2195 - 2208