DOI: 10.1007/s00382-013-2019-y
Scopus记录号: 2-s2.0-84905126202
论文题名: Spatiotemporal change in geographical distribution of global climate types in the context of climate warming
作者: Zhang X. ; Yan X.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 43, 期: 2017-03-04 起始页码: 595
结束页码: 605
语种: 英语
英文关键词: Climate classification
; Cluster analysis
; Cohen's kappa coefficient
英文摘要: After standardizing global land climate gridded data from the Climatic Research Unit TS (time-series) 3.1 dataset for the period 1901-2009, cluster analysis is used to objectively classify world climates into 14 climate types. These climate types establish a baseline classification map and the types are named according to Köppen-Geiger climate classifications. Although the cluster analysis and Köppen classification methods are very different, the distributions of climate types obtained by the two methods are similar. Moreover, the climate types we identify also coincide well with their corresponding vegetation types. Thus, cluster analysis can be used as an effective alternative to the Köppen classification method for classifying world climate types. The spatial and temporal changes in geographical distribution of global climate types were investigated in 25-year intervals, and Cohen's kappa coefficient is used to detect agreement between the periods. Globally, although an obvious trend in increasing global temperature is found, distribution of climate types overall show no distinct changes over the periods. However, at the regional scale, spatial change in distribution of climate types is evident in South America and Africa. In South America, larger areas of the "fully humid equatorial rainforest" (Af) and "equatorial savannah with dry winter" (Aw) climate types have changed types. In Africa, changes mainly occurred in the Af, "equatorial savannah with dry summer" (As), Aw, "steppe climate" (BS), and "desert climate" (BW) climate types. Moreover, some climate types, including Af, "equatorial monsoon" (Am), BS, BW, and "tundra climate" (ET), were susceptible to temporal climate changes, especially in the period 1976-2009. © 2013 Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54504
Appears in Collections: 过去全球变化的重建
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China; Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Zhang X.,Yan X.. Spatiotemporal change in geographical distribution of global climate types in the context of climate warming[J]. Climate Dynamics,2014-01-01,43(2017-03-04)