An Independent Assessment of Anthropogenic Attribution Statements for Recent Extreme Temperature and Rainfall Events

被引:70
作者
Angelil, Oliver [1 ]
Stone, Daithi [1 ]
Wehner, Michael [1 ]
Paciorek, Christopher J. [2 ]
Krishnan, Harinarayan [1 ]
Collins, William [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Berkeley, CA USA
[2] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
关键词
CLIMATE-CHANGE; HEAT-WAVE; PRECIPITATION; WEATHER; CALIFORNIA; EMISSIONS; DROUGHT; ENGLAND; CONTEXT; SUMMER;
D O I
10.1175/JCLI-D-16-0077.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The annual "State of the Climate'' report, published in the Bulletin of the American Meteorological Society (BAMS), has included a supplement since 2011 composed of brief analyses of the human influence on recent major extreme weather events. There are now several dozen extreme weather events examined in these supplements, but these studies have all differed in their data sources as well as their approaches to defining the events, analyzing the events, and the consideration of the role of anthropogenic emissions. This study reexamines most of these events using a single analytical approach and a single set of climate model and observational data sources. In response to recent studies recommending the importance of using multiple methods for extreme weather event attribution, results are compared from these analyses to those reported in the BAMS supplements collectively, with the aim of characterizing the degree to which the lack of a common methodological framework may or may not influence overall conclusions. Results are broadly similar to those reported earlier for extreme temperature events but disagree for a number of extreme precipitation events. Based on this, it is advised that the lack of comprehensive uncertainty analysis in recent extreme weather attribution studies is important and should be considered when interpreting results, but as yet it has not introduced a systematic bias across these studies.
引用
收藏
页码:5 / 16
页数:12
相关论文
共 56 条
  • [1] Adler RF, 2003, J HYDROMETEOROL, V4, P1147, DOI 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO
  • [2] 2
  • [3] Comparing regional precipitation and temperature extremes in climate model and reanalysis products
    Angelil, Oliver
    Perkins-Kirkpatrick, Sarah
    Alexander, Lisa, V
    Stone, Daithi
    Donat, Markus G.
    Wehner, Michael
    Shiogama, Hideo
    Ciavarella, Andrew
    Christidis, Nikolaos
    [J]. WEATHER AND CLIMATE EXTREMES, 2016, 13 : 35 - 43
  • [4] Attribution of extreme weather to anthropogenic greenhouse gas emissions: Sensitivity to spatial and temporal scales
    Angelil, Oliver
    Stone, Daithi A.
    Tadross, Mark
    Tummon, Fiona
    Wehner, Michael
    Knutti, Reto
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (06) : 2150 - 2155
  • [5] [Anonymous], 2012, Bull. Am. Meteorol. Soc, DOI DOI 10.1175/BAMS-D-12-00021.1
  • [6] [Anonymous], 2012, Bull. Am. Meteorol. Soc., DOI DOI 10.1175/BAMS-D-12-00021.1
  • [7] [Anonymous], B AM METEOROL SOC, DOI [10.1175/BAMS-D-12-00021.1, DOI 10.1175/BAMS-D-12-00021.1)]
  • [8] Arblaster JM, 2014, B AM METEOROL SOC, V95, pS37
  • [9] Attribution of extreme weather and climate events overestimated by unreliable climate simulations
    Bellprat, Omar
    Doblas-Reyes, Francisco
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (05) : 2158 - 2164
  • [10] Bindoff NL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P867