DOI: 10.1007/s00382-016-3107-6
Scopus记录号: 2-s2.0-84963742300
论文题名: Simplified ISCCP cloud regimes for evaluating 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: 113
结束页码: 130
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: We take advantage of ISCCP simulator data available for many models that participated in CMIP5, in order to introduce a framework for comparing model cloud output with corresponding ISCCP observations based on the cloud regime (CR) concept. Simplified global CRs are employed derived from the co-variations of three variables, namely cloud optical thickness, cloud top pressure and cloud fraction (τ, pc, CF). Following evaluation criteria established in a companion paper of ours (Jin et al. 2016), we assess model cloud simulation performance based on how well the simplified CRs are simulated in terms of similarity of centroids, global values and map correlations of relative-frequency-of-occurrence, and long-term total cloud amounts. Mirroring prior results, modeled clouds tend to be too optically thick and not as extensive as in observations. CRs with high-altitude clouds from storm activity are not as well simulated here compared to the previous study, but other regimes containing near-overcast low clouds show improvement. Models that have performed well in the companion paper against CRs defined by joint τ–pc histograms distinguish themselves again here, but improvements for previously underperforming models are also seen. Averaging across models does not yield a drastically better picture, except for cloud geographical locations. Cloud evaluation with simplified regimes seems thus more forgiving than that using histogram-based CRs while still strict enough to reveal model weaknesses. © 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/53403
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, NASA GSFC Code 613, Greenbelt, MD, United States; Morgan State University, Baltimore, MD, United States
Recommended Citation:
Jin D.,Oreopoulos L.,Lee D.. Simplified ISCCP cloud regimes for evaluating cloudiness in CMIP5 models[J]. Climate Dynamics,2017-01-01,48(2017-01-02)