CMIP5 CLIMATE MODEL ANALYSES Climate Extremes in the United States

被引:250
|
作者
Wuebbles, Donald [1 ]
Meehl, Gerald [2 ]
Hayhoe, Katharine [3 ]
Karl, Thomas R. [4 ]
Kunkel, Kenneth [5 ]
Santer, Benjamin [6 ]
Wehner, Michael [7 ]
Colle, Brian [8 ]
Fischer, Erich M. [9 ]
Fu, Rong [10 ]
Goodman, Alex [1 ]
Janssen, Emily [1 ]
Kharin, Viatcheslav [12 ]
Lee, Huikyo [1 ]
Li, Wenhong [11 ]
Long, Lindsey N. [13 ,14 ]
Olsen, Seth C. [1 ]
Pan, Zaitao [15 ]
Seth, Anji [16 ]
Sheffield, Justin [17 ]
Sun, Liqiang [5 ]
机构
[1] Univ Illinois, Urbana, IL 61801 USA
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[3] Texas Tech Univ, Lubbock, TX 79409 USA
[4] NOAA, Natl Climat Data Ctr, Asheville, NC USA
[5] NOAA, Cooperat Inst Climate & Satellites, Asheville, NC USA
[6] Lawrence Livermore Natl Lab, Livermore, CA USA
[7] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
[8] SUNY Stony Brook, Stony Brook, NY 11794 USA
[9] ETH, Zurich, Switzerland
[10] Univ Texas Austin, Austin, TX 78712 USA
[11] Duke Univ, Durham, NC USA
[12] Canadian Ctr Climate Modelling & Anal, Victoria, BC, Canada
[13] NOAA, NWS, NCEP, Camp Springs, MD USA
[14] Wyle Labs, Camp Springs, MD USA
[15] St Louis Univ, St Louis, MO 63103 USA
[16] Univ Connecticut, Storrs, CT USA
[17] Princeton Univ, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
NORTH-AMERICAN MONSOON; PRECIPITATION EVENTS; TRENDS; UNCERTAINTIES; TEMPERATURE; MULTIMODEL; TRACKING;
D O I
10.1175/BAMS-D-12-00172.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Given the increases in spatial resolution and other improvements in climate modeling capabilities over the last decade since the CMIP3 simulations were completed, CMIP5 provides a unique opportunity to assess scientific understanding of climate variability and change over a range of historical and future conditions. With participation from over 20 modeling groups and more than 40 global models, CMIP5 represents the latest and most ambitious coordinated international climate model intercomparison exercise to date. Observations dating back to 1900 show that the temperatures in the twenty-first century have the largest spatial extent of record breaking and much above normal mean monthly maximum and minimum temperatures. The 20-yr return value of the annual maximum or minimum daily temperature is one measure of changes in rare temperature extremes.
引用
收藏
页码:571 / 583
页数:13
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