DOI: 10.1007/s00382-016-3064-0
Scopus记录号: 2-s2.0-84963748052
论文题名: Regime-based evaluation of cloudiness in CMIP5 models
作者: Jin D. ; Oreopoulos L. ; Lee D.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 48, 期: 2017-01-02 起始页码: 89
结束页码: 112
语种: 英语
英文关键词: CFMIP
; Cloud assessment
; Cloud climatology
; Cloud regime
; CMIP5 evaluation
; COSP
; ISCCP simulator
英文摘要: The concept of cloud regimes (CRs) is used to develop a framework for evaluating the cloudiness of 12 fifth Coupled Model Intercomparison Project (CMIP5) models. Reference CRs come from existing global International Satellite Cloud Climatology Project (ISCCP) weather states. The evaluation is made possible by the implementation in several CMIP5 models of the ISCCP simulator generating in each grid cell daily joint histograms of cloud optical thickness and cloud top pressure. Model performance is assessed with several metrics such as CR global cloud fraction (CF), CR relative frequency of occurrence (RFO), their product [long-term average total cloud amount (TCA)], cross-correlations of CR RFO maps, and a metric of resemblance between model and ISCCP CRs. In terms of CR global RFO, arguably the most fundamental metric, the models perform unsatisfactorily overall, except for CRs representing thick storm clouds. Because model CR CF is internally constrained by our method, RFO discrepancies yield also substantial TCA errors. Our results support previous findings that CMIP5 models underestimate cloudiness. The multi-model mean performs well in matching observed RFO maps for many CRs, but is still not the best for this or other metrics. When overall performance across all CRs is assessed, some models, despite shortcomings, apparently outperform Moderate Resolution Imaging Spectroradiometer cloud observations evaluated against ISCCP like another model output. Lastly, contrasting cloud simulation performance against each model’s equilibrium climate sensitivity in order to gain insight on whether good cloud simulation pairs with particular values of this parameter, yields no clear conclusions. © 2016, Springer-Verlag Berlin Heidelberg. 资助项目: NASA, National Aeronautics and Space Administration
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53383
Appears in Collections: 过去全球变化的重建
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作者单位: University Space Research Association, Columbia, MD, United States; NASA Goddard Space Flight Center Code 613, Greenbelt, MD, United States; Morgan State University, Baltimore, MD, United States
Recommended Citation:
Jin D.,Oreopoulos L.,Lee D.. Regime-based evaluation of cloudiness in CMIP5 models[J]. Climate Dynamics,2017-01-01,48(2017-01-02)