globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-016-3086-7
Scopus记录号: 2-s2.0-84961675516
论文题名:
An analysis of high cloud variability: imprints from the El Niño–Southern Oscillation
作者: Li K.-F.; Su H.; Mak S.-N.; Chang T.M.; Jiang J.H.; Norris J.R.; Yung Y.L.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 48, 期:2017-01-02
起始页码: 447
结束页码: 457
语种: 英语
英文关键词: Cloud fraction ; Interannual variability ; Principal component analysis ; Sea surface temperature
英文摘要: Using data from the International Satellite Cloud Climatology Project (ISCCP), we examine how near-global (60°N–60°S) high cloud fraction varies over time in the past three decades. Our focus is on identifying dominant modes of variability and associated spatial patterns, and how they are related to sea surface temperature. By performing the principal component analysis, we find that the first two principal modes of high cloud distribution show strong imprints of the two types of El Niño–Southern Oscillation (ENSO)—the canonical ENSO and the ENSO Modoki. Comparisons between ISCCP data and 14 models from the Atmospheric Model Intercomparison Project Phase 5 (AMIP5) show that models simulate the spatial pattern and the temporal variations of high cloud fraction associated with the canonical ENSO very well but the magnitudes of the canonical ENSO vary among the models. Furthermore, the multi-model mean of the second principal mode in the AMIP5 simulations appears to capture the temporal behavior of the second mode but individual AMIP5 models show large discrepancies in capturing observed temporal variations. A new metric, defined by the relative variances of the first two principal components, suggests that most of the AMIP5 models overestimate the second principal mode of high clouds. © 2016, Springer-Verlag Berlin Heidelberg.
资助项目: CUHK, Chinese University of Hong Kong ; NASA, National Aeronautics and Space Administration ; NASA, National Aeronautics and Space Administration ; UCAR, University Corporation for Atmospheric Research ; UH, University of Houston
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53394
Appears in Collections:过去全球变化的重建

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作者单位: Department of Applied Mathematics, University of Washington, Seattle, WA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Physics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong; Division of Applied Mathematics, Brown University, Providence, RI, United States; Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States; Divisions of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States

Recommended Citation:
Li K.-F.,Su H.,Mak S.-N.,et al. An analysis of high cloud variability: imprints from the El Niño–Southern Oscillation[J]. Climate Dynamics,2017-01-01,48(2017-01-02)
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