Future Precipitation Extremes in China under Climate Change and Their Physical Quantification Based on a Regional Climate Model and CMIP5 Model Simulations

被引:40
作者
Qin, Peihua [1 ]
Xie, Zhenghui [1 ]
Zou, Jing [2 ]
Liu, Shuang [3 ]
Chen, Si [1 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
[2] Qilu Univ Technol, Shandong Acad Sci, Inst Oceanog Instrumentat, Qingdao 266001, Peoples R China
[3] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
precipitation extremes; regional climate model; CMIP5; models; ATMOSPHERE COUPLED MODEL; EAST-ASIA DOMAIN; RIVER-BASINS; NORTHWEST CHINA; TEMPERATURE; INDEXES; RAINFALL; INCREASES; TRENDS; REGCM4;
D O I
10.1007/s00376-020-0141-4
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The atmospheric water holding capacity will increase with temperature according to Clausius-Clapeyron scaling and affects precipitation. The rates of change in future precipitation extremes are quantified with changes in surface air temperature. Precipitation extremes in China are determined for the 21st century in six simulations using a regional climate model, RegCM4, and 17 global climate models that participated in CMIP5. First, we assess the performance of the CMIP5 models and RCM runs in their simulation of extreme precipitation for the current period (RF: 1982-2001). The CMIP5 models and RCM results can capture the spatial variations of precipitation extremes, as well as those based on observations: OBS and XPP. Precipitation extremes over four subregions in China are predicted to increase in the mid-future (MF: 2039-58) and far-future (FF: 2079-98) relative to those for the RF period based on both the CMIP5 ensemble mean and RCM ensemble mean. The secular trends in the extremes of the CMIP5 models are predicted to increase from 2008 to 2058, and the RCM results show higher interannual variability relative to that of the CMIP5 models. Then, we quantify the increasing rates of change in precipitation extremes in the MF and FF periods in the subregions of China with the changes in surface air temperature. Finally, based on the water vapor equation, changes in precipitation extremes in China for the MF and FF periods are found to correlate positively with changes in the atmospheric vertical wind multiplied by changes in surface specific humidity (significant at the p < 0.1 level).
引用
收藏
页码:460 / 479
页数:20
相关论文
共 92 条
[1]  
[Anonymous], 2009, P NATL ACAD SCI USA, DOI DOI 10.1073/pnas.0907610106
[2]   Extreme daily precipitation in coastal western Norway and the link to atmospheric rivers [J].
Azad, Roohollah ;
Sorteberg, Asgeir .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (04) :2080-2095
[3]  
Bao JW, 2017, NAT CLIM CHANGE, V7, P128, DOI [10.1038/nclimate3201, 10.1038/NCLIMATE3201]
[4]   Increased population exposure to precipitation extremes under future warmer climates [J].
Chen, Huopo ;
Sun, Jianqi ;
Li, Huixin .
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (03)
[5]   Contribution of human influence to increased daily precipitation extremes over China [J].
Chen, Huopo ;
Sun, Jianqi .
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (05) :2436-2444
[6]  
Chen XY, 2017, NAT CLIM CHANGE, V7, P492, DOI [10.1038/nclimate3325, 10.1038/NCLIMATE3325]
[7]  
Dickinson R.E., 1993, BIOSPHERE ATMOSPHERE, DOI [10.5065/D67W6959, DOI 10.5065/D67W6959]
[8]   Quantifying the influence of global warming on unprecedented extreme climate events [J].
Diffenbaugh, Noah S. ;
Singh, Deepti ;
Mankin, Justin S. ;
Horton, Daniel E. ;
Swain, Daniel L. ;
Touma, Danielle ;
Charland, Allison ;
Liu, Yunjie ;
Haugen, Matz ;
Tsiang, Michael ;
Rajaratnam, Bala .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (19) :4881-4886
[9]   Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset [J].
Donat, M. G. ;
Alexander, L. V. ;
Yang, H. ;
Durre, I. ;
Vose, R. ;
Dunn, R. J. H. ;
Willett, K. M. ;
Aguilar, E. ;
Brunet, M. ;
Caesar, J. ;
Hewitson, B. ;
Jack, C. ;
Tank, A. M. G. Klein ;
Kruger, A. C. ;
Marengo, J. ;
Peterson, T. C. ;
Renom, M. ;
Oria Rojas, C. ;
Rusticucci, M. ;
Salinger, J. ;
Elrayah, A. S. ;
Sekele, S. S. ;
Srivastava, A. K. ;
Trewin, B. ;
Villarroel, C. ;
Vincent, L. A. ;
Zhai, P. ;
Zhang, X. ;
Kitching, S. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (05) :2098-2118
[10]  
Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]