GSTDTAP  > 气候变化
DOI10.1007/s00382-017-3660-7
Dynamically-downscaled projections of changes in temperature extremes over China
Guo, Junhong1; Huang, Guohe2,3; Wang, Xiuquan2,4; Li, Yongping5; Lin, Qianguo1
2018-02-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2018
卷号50页码:1045-1066
文章类型Article
语种英语
国家Peoples R China; Canada
英文摘要

In this study, likely changes in extreme temperatures (including 16 indices) over China in response to global warming throughout the twenty-first century are investigated through the PRECIS regional climate modeling system. The PRECIS experiment is conducted at a spatial resolution of 25 km and is driven by a perturbed-physics ensemble to reflect spatial variations and model uncertainties. Simulations of present climate (1961-1990) are compared with observations to validate the model performance in reproducing historical climate over China. Results indicate that the PRECIS demonstrates reasonable skills in reproducing the spatial patterns of observed extreme temperatures over the most regions of China, especially in the east. Nevertheless, the PRECIS shows a relatively poor performance in simulating the spatial patterns of extreme temperatures in the western mountainous regions, where its driving GCM exhibits more uncertainties due to lack of insufficient observations and results in more errors in climate downscaling. Future spatio-temporal changes of extreme temperature indices are then analyzed for three successive periods (i.e., 2020s, 2050s and 2080s). The projected changes in extreme temperatures by PRECIS are well consistent with the results of the major global climate models in both spatial and temporal patterns. Furthermore, the PRECIS demonstrates a distinct superiority in providing more detailed spatial information of extreme indices. In general, all extreme indices show similar changes in spatial pattern: large changes are projected in the north while small changes are projected in the south. In contrast, the temporal patterns for all indices vary differently over future periods: the warm indices, such as SU, TR, WSDI, TX90p, TN90p and GSL are likely to increase, while the cold indices, such as ID, FD, CSDI, TX10p and TN10p, are likely to decrease with time in response to global warming. Nevertheless, the magnitudes of changes in all indices tend to decrease gradually with time, indicating the projected warming will begin to slow down in the late of this century. In addition, the projected range of changes for all indices would become larger with time, suggesting more uncertainties would be involved in long-term climate projections.


英文关键词Extreme temperature indices High resolution Regional climate model Climate change China
领域气候变化
收录类别SCI-E
WOS记录号WOS:000425328700018
WOS关键词PRECIPITATION EXTREMES ; CLIMATE ; TRENDS ; EVENTS ; INDEXES ; QUANTIFICATION ; ENSEMBLE ; RAINFALL ; IMPACTS ; DROUGHT
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/35288
专题气候变化
作者单位1.North China Elect Power Univ, Key Lab Reg Energy & Environm Syst Optimizat, Minist Educ, Beijing 102206, Peoples R China;
2.Univ Regina, Inst Energy Environm & Sustainable Commun, 3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada;
3.North China Elect Power Univ, SC Inst Energy Environm & Sustainabil Res, Beijing 102206, Peoples R China;
4.Dalhousie Univ, Dept Civil & Resource Engn, Halifax, NS B3H 4R2, Canada;
5.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Guo, Junhong,Huang, Guohe,Wang, Xiuquan,et al. Dynamically-downscaled projections of changes in temperature extremes over China[J]. CLIMATE DYNAMICS,2018,50:1045-1066.
APA Guo, Junhong,Huang, Guohe,Wang, Xiuquan,Li, Yongping,&Lin, Qianguo.(2018).Dynamically-downscaled projections of changes in temperature extremes over China.CLIMATE DYNAMICS,50,1045-1066.
MLA Guo, Junhong,et al."Dynamically-downscaled projections of changes in temperature extremes over China".CLIMATE DYNAMICS 50(2018):1045-1066.
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