globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.09.017
Scopus ID: 2-s2.0-85054020630
Consensus in climate classifications for present climate and global warming scenarios
Author: Tapiador F.J.; Moreno R.; Navarro A.
Source Publication: Atmospheric Research
ISSN: 1698095
Publishing Year: 2019
Volume: 216
pages begin: 26
pages end: 36
Language: 英语
Keyword: Climate classification ; Global Climate Models ; K-means clustering ; Köppen classification ; Köppen-Trewartha classification
Scopus Keyword: Gas emissions ; Global warming ; Greenhouse gases ; Uncertainty analysis ; Classification methods ; Environmental change ; Future climate ; Gauge model ; Global change ; Global climate model ; K - means clustering ; Systematic analysis ; Climate models
English Abstract: Climate classifications of climate models’ outputs have been used to assess environmental changes but systematic analyses of the differences between models, scenarios and classification methods are scarce. Here, the results of applying the most commonly used climate classifications to the outputs of 47 Global Climate Models (GCM) of different physical parameterizations and varied grid size are presented. The extent and intensity of changes for present climate, three different Representative Pathways Scenarios (RCP26, RCP45 and RCP85) and three increasingly-fine classification methods show that there is a consensus between models, and that climate classifications are indeed useful tools to translate physical climatology variables into environmental changes. The main conclusions are that climate classifications can indeed be used to gauge model performance at several grid sizes and that the classification method does not decisively affects the potential global changes in future climates under increasing greenhouse gas emissions. The analyses also reveal that there are several uncertainties that are not attributable to model grid size or to limitations in the reference datasets but more likely to deficiencies in the physics of the models. © 2018
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被引频次[WOS]:1   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Appears in Collections:影响、适应和脆弱性

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Affiliation: University of Castilla-La Mancha (UCLM), Institute of Environmental Sciences (ICAM), Faculty of Environmental Sciences and Biochemistry, Earth and Space Sciences Group, Avda. Carlos III s/n, Toledo, 45071, Spain

Recommended Citation:
Tapiador F.J.,Moreno R.,Navarro A.. Consensus in climate classifications for present climate and global warming scenarios[J]. Atmospheric Research,2019-01-01,216
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