DOI: 10.1007/s00382-015-2727-6
Scopus记录号: 2-s2.0-84936803612
论文题名: Deficiencies in the simulation of the geographic distribution of climate types by global climate models
作者: Zhang X. ; Yan X.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-09-10 起始页码: 2749
结束页码: 2757
语种: 英语
英文关键词: GCMs
; Model evaluation
; Regional climate pattern
; Spatial distribution
英文摘要: The performances of General Circulation Models (GCMs) when checked with conventional methods (i.e. correlation, bias, root-mean-square error) can only be evaluated for each variable individually. The geographic distribution of climate type in GCM simulations, which reflects the spatial attributes of models and is related closely to the terrestrial biosphere, has not yet been evaluated. Thus, whether the geographic distribution of climate types was well simulated by GCMs was evaluated in this study for nine GCMs. The results showed that large areas of climate zones classified by the GCMs were allocated incorrectly when compared to the basic climate zones established by observed data. The percentages of wrong areas covered approximately 30–50 % of the total land area for most models. In addition, the temporal shift in the distribution of climate zones according to the GCMs was found to be inaccurate. Not only were the locations of shifts poorly simulated, but also the areas of shift in climate zones. Overall, the geographic distribution of climate types was not simulated well by the GCMs, nor was the temporal shift in the distribution of climate zones. Thus, a new method on how to evaluate the simulated distribution of climate types for GCMs was provided in this study. © 2015, Springer-Verlag Berlin Heidelberg.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53750
Appears in Collections: 过去全球变化的重建
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作者单位: College of Forestry, Shenyang Agriculture University, Shenyang, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
Recommended Citation:
Zhang X.,Yan X.. Deficiencies in the simulation of the geographic distribution of climate types by global climate models[J]. Climate Dynamics,2016-01-01,46(2017-09-10)