DOI: 10.1007/s00382-015-2938-x
Scopus记录号: 2-s2.0-84949936906
论文题名: Evaluation of precipitation and temperature simulation performance of the CMIP3 and CMIP5 historical experiments
作者: Koutroulis A.G. ; Grillakis M.G. ; Tsanis I.K. ; Papadimitriou L.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-05-06 起始页码: 1881
结束页码: 1898
语种: 英语
英文关键词: CMIP3
; CMIP5
; Intercomparison
; Precipitation
; Skill score
; Temperature
英文摘要: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) is the most recent coordinated experiment of global climate modeling. Compared to its predecessor CMIP3, the fifth phase of the homonymous experiment—CMIP5 involves a greater number of GCMs, run at higher resolutions with more complex components. Here we use daily GCM data from both projects to test their efficiency in representing precipitation and temperature parameters with the use of a state of the art high resolution gridded global dataset for land areas and for the period 1960–2005. Two simple metrics, a comprehensive histogram similarity metric based on the match of simulated and observed empirical pdfs and a metric for the representation of the annual cycle were employed as performance indicators. The metrics were used to assess the skill of each GCM at the entire spectrum of precipitation and temperature pdfs but also for the upper and lower tails of it. Results are presented globally and regionally for 26 land regions that represent different climatic regimes, covering the total earth’s land surface except for Antarctica. Compared to CMIP3, CMIP5 models perform better in simulating precipitation including relatively intense events and the fraction of wet days. For temperature the improvement is not as clear except for the upper and lower hot and cold events of the distribution. The agreement of model simulations is also considerably increased in CMIP5. Substantial improvement in intense precipitation is observed over North Europe, Central and Eastern North America and North East Europe. Nevertheless, in both ensembles some models clearly perform better than others from a histogram similarity point of view. The derived skill score metrics provide essential information for impact studies based on global or regional land area multi-model ensembles. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53541
Appears in Collections: 过去全球变化的重建
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作者单位: School of Environmental Engineering, Technical University of Crete, Chania, Greece; Department of Civil Engineering, McMaster University, Hamilton, Canada
Recommended Citation:
Koutroulis A.G.,Grillakis M.G.,Tsanis I.K.,et al. Evaluation of precipitation and temperature simulation performance of the CMIP3 and CMIP5 historical experiments[J]. Climate Dynamics,2016-01-01,47(2017-05-06)