GSTDTAP  > 气候变化
DOI10.1002/joc.5089
Geographic distribution of global climate zones under future scenarios
Zhang, Xianliang1; Yan, Xiaodong2; Chen, Zhenju1,3
2017-10-01
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2017
卷号37期号:12
文章类型Article
语种英语
国家Peoples R China
英文摘要

Possible future climate change can be projected by general circulation models (GCMs), and the future geographic distribution of global climate zones can be projected based on these GCM simulations. In this study, the performance of 33 GCMs in simulating the distribution of global climate zones was evaluated using Kappa values. The results show that certain models are more skillful than other models in simulating the present distribution of global climate zones. The ensemble mean of all the GCMs showed worse performance than some individual models in simulating the present distribution of climate zones. The ensemble mean based on the three GCMs that showed superior performance achieved the optimum results in simulating the future distribution of climate zones. Based on the simulations of the ensemble mean of these three GCMs, the distributions of global climate zones in the future were projected for three scenarios (Representative Concentration Pathways, RCP) (RCP2.6, RCP4.5, and RCP8.5). The climate types in the temperate zone were susceptible to climate changes under the three scenarios. The shift in the distribution of climate zones was mainly caused by the joint variations of temperature and precipitation among different climate zones.


英文关键词global climate zones Kappa value future scenarios RCP
领域气候变化
收录类别SCI-E
WOS记录号WOS:000412095400008
WOS关键词SHIFTS ; CLASSIFICATION ; MULTIMODEL ; AGREEMENT ; CONTEXT ; CHINA ; MODEL ; MAPS
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/37083
专题气候变化
作者单位1.Shenyang Agr Univ, Coll Forestry, Tree Ring Lab, 120 Dongling Rd, Shenyang 110866, Liaoning, Peoples R China;
2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China;
3.Chinese Acad Sci, Qingyuan Forest CERN, Shenyang, Liaoning, Peoples R China
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Zhang, Xianliang,Yan, Xiaodong,Chen, Zhenju. Geographic distribution of global climate zones under future scenarios[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(12).
APA Zhang, Xianliang,Yan, Xiaodong,&Chen, Zhenju.(2017).Geographic distribution of global climate zones under future scenarios.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(12).
MLA Zhang, Xianliang,et al."Geographic distribution of global climate zones under future scenarios".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.12(2017).
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