Future changes in intense precipitation over Canada assessed from multi-model NARCCAP ensemble simulations

被引:88
|
作者
Mailhot, Alain [1 ]
Beauregard, Ian [1 ]
Talbot, Guillaume [1 ]
Caya, Daniel [2 ]
Biner, Sebastien [2 ]
机构
[1] Inst Natl Rech Sch, Ctr Eau Terre Environm, Quebec City, PQ G1K 9A9, Canada
[2] Consortium Ouranos, Montreal, PQ H3A 1B9, Canada
基金
美国海洋和大气管理局; 美国国家科学基金会;
关键词
intense rainfall; regional climate model; global climate model; climate change; NARCCAP; multi-model ensemble; CLIMATE-CHANGE; REGIONAL CLIMATE; MODEL INTEGRATIONS; EXTREME RAINFALL; TEMPERATURE; UNCERTAINTIES; FORECASTS; AREAL; CYCLE;
D O I
10.1002/joc.2343
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Annual maxima (AM) series of precipitation from 15 simulations of the North American Regional Climate Change Assessment Program (NARCCAP) have been analysed for gridpoints covering Canada and the northern part of United States. The NARCCAP Regional Climate Models' simulations have been classified into the following three groups based on the driving data used at the RCMs boundaries: (1) NCEP (6 simulations); (2) GCM-historical (5 simulations); and (3) GCM-future (4 simulations). Historical simulations are representative of the 1968-2000 period while future simulations cover the 2041-2070 period. A reference common grid has been defined to ease the comparison. Multi-model average intensities of AM precipitation of 6-, 12-, 24-, 72-, and 120-h for 2-, 5-, 10-, and 20-year return periods have been estimated for each simulation group. Comparison of results from NCEP and GCM-historical groups shows good overall agreement in terms of spatial distribution of AM intensities. Comparison of GCM-future and GCM-historical groups clearly shows widespread increases with median relative changes across all gridpoints ranging from 12 to 18% depending on durations and return periods. Fourteen Canadian climatic regions have been used to define regional projections and average regional changes in intense precipitation have been estimated for each duration and return period. Uncertainties on these regional values, resulting from inter-model variability, were also estimated. Results suggest that inland regions (e.g. Ontario and more specifically Southern Ontario, the Prairies, Southern Quebec) will experience the largest relative increases in AM intensities while coastal regions (e.g. Atlantic Provinces and the West Coast) will experience the smallest ones. These projections are most valuable inputs for the assessment of future impact of climate change on water infrastructures and the development of more efficient adaptation strategies. Copyright (C) 2011 Royal Meteorological Society
引用
收藏
页码:1151 / 1163
页数:13
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