气候变化领域集成服务门户(CCPortal): Consensus in climate classifications for present climate and global warming scenarios

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DOI	10.1016/j.atmosres.2018.09.017
	Consensus in climate classifications for present climate and global warming scenarios
	Tapiador F.J.; Moreno R.; Navarro A.
发表日期	2019
ISSN	0169-8095
起始页码	26
结束页码	36
卷号	216
英文摘要	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
英文关键词	Climate classification; Global Climate Models; K-means clustering; Köppen classification; Köppen-Trewartha classification
语种	英语
scopus关键词	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; algorithm; climate classification; climate modeling; climate variation; global climate; global warming; parameterization
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162247
作者单位	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
推荐引用方式 GB/T 7714	Tapiador F.J.,Moreno R.,Navarro A.. Consensus in climate classifications for present climate and global warming scenarios[J],2019,216.
APA	Tapiador F.J.,Moreno R.,&Navarro A..(2019).Consensus in climate classifications for present climate and global warming scenarios.Atmospheric Research,216.
MLA	Tapiador F.J.,et al."Consensus in climate classifications for present climate and global warming scenarios".Atmospheric Research 216(2019).