Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-016-3064-0 |
Regime-based evaluation of cloudiness in CMIP5 models | |
Jin, Daeho1,2; Oreopoulos, Lazaros2; Lee, Dongmin2,3 | |
2017 | |
发表期刊 | CLIMATE DYNAMICS
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ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2017 |
卷号 | 48 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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. |
英文关键词 | CMIP5 evaluation CFMIP COSP ISCCP simulator Cloud assessment Cloud climatology Cloud regime |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000392307300006 |
WOS关键词 | CLIMATE-CHANGE ; CLOUDS ; ISCCP ; MODIS ; WATER ; MULTISENSOR ; ECMWF |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35267 |
专题 | 气候变化 |
作者单位 | 1.Univ Space Res Assoc, Columbia, MD 21046 USA; 2.NASA, Goddard Space Flight Ctr, Code 613, Greenbelt, MD 20771 USA; 3.Morgan State Univ, Baltimore, MD 21239 USA |
推荐引用方式 GB/T 7714 | Jin, Daeho,Oreopoulos, Lazaros,Lee, Dongmin. Regime-based evaluation of cloudiness in CMIP5 models[J]. CLIMATE DYNAMICS,2017,48. |
APA | Jin, Daeho,Oreopoulos, Lazaros,&Lee, Dongmin.(2017).Regime-based evaluation of cloudiness in CMIP5 models.CLIMATE DYNAMICS,48. |
MLA | Jin, Daeho,et al."Regime-based evaluation of cloudiness in CMIP5 models".CLIMATE DYNAMICS 48(2017). |
条目包含的文件 | 条目无相关文件。 |
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