Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0282.1 |
Role of Natural Climate Variability in the Detection of Anthropogenic Climate Change Signal for Mean and Extreme Precipitation at Local and Regional Scales | |
Martel, Jean-Luc1; Mailhot, Alain2; Brissette, Francois1; Caya, Daniel1 | |
2018-06-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:11页码:4241-4263 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Climate change will impact both mean and extreme precipitation, having potentially significant consequences on water resources. The implementation of efficient adaptation measures must rely on the development of reliable projections of future precipitation and on the assessment of their related uncertainty. Natural climate variability is a key uncertainty component, which can result in apparent decadal trends that may be greater or lower than the long-term underlying anthropogenic climate change trend. The goal of the present study is to assess how natural climate variability affects the ability to detect the climate change signal for mean and extreme precipitation. Annual and seasonal total precipitation are used as indicators of the mean, whereas annual and seasonal maximum daily precipitation are used as indicators of extremes. This is done using the CanESM2 50-member and CESM1 40-member large ensembles of simulations over the 1950-2100 period. At the local scale, results indicate that natural climate variability will dominate the uncertainty for annual and seasonal extreme precipitation going up to the end of the century in many parts of the world. The climate change signal can, however, be reliably detected much earlier at the regional scale for extreme precipitation. In the case of annual and seasonal total precipitation, the climate change signal can be reliably detected at the local scale without resorting to a regional analysis. Nonetheless, natural climate variability can impede the detection of the anthropogenic climate change signal until the middle to late century in many parts of the world for mean and extreme precipitation. |
英文关键词 | Rainfall Climate models Ensembles General circulation models Climate variability Seasonal variability |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000432380400005 |
WOS关键词 | NORTH-AMERICAN CLIMATE ; UNITED-STATES ; INDEXES ; TEMPERATURE ; TRENDS ; MODELS ; CMIP5 ; CHALLENGES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19876 |
专题 | 气候变化 |
作者单位 | 1.Univ Quebec, Ecole Technol Super, Montreal, PQ, Canada; 2.Inst Natl Rech Sci, Eau Terre Environm Res Ctr, Quebec City, PQ, Canada |
推荐引用方式 GB/T 7714 | Martel, Jean-Luc,Mailhot, Alain,Brissette, Francois,et al. Role of Natural Climate Variability in the Detection of Anthropogenic Climate Change Signal for Mean and Extreme Precipitation at Local and Regional Scales[J]. JOURNAL OF CLIMATE,2018,31(11):4241-4263. |
APA | Martel, Jean-Luc,Mailhot, Alain,Brissette, Francois,&Caya, Daniel.(2018).Role of Natural Climate Variability in the Detection of Anthropogenic Climate Change Signal for Mean and Extreme Precipitation at Local and Regional Scales.JOURNAL OF CLIMATE,31(11),4241-4263. |
MLA | Martel, Jean-Luc,et al."Role of Natural Climate Variability in the Detection of Anthropogenic Climate Change Signal for Mean and Extreme Precipitation at Local and Regional Scales".JOURNAL OF CLIMATE 31.11(2018):4241-4263. |
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