Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-016-3086-7 |
An analysis of high cloud variability: imprints from the El Nio-Southern Oscillation | |
Li, King-Fai1; Su, Hui2; Mak, Sze-Ning3; Chang, Tiffany M.4; Jiang, Jonathan H.2; Norris, Joel R.5; Yung, Yuk L.6 | |
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; Peoples R China |
英文摘要 | Using data from the International Satellite Cloud Climatology Project (ISCCP), we examine how near-global (60A degrees N-60A degrees 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 Nio-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. |
英文关键词 | Sea surface temperature Cloud fraction Interannual variability Principal component analysis |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000392307300025 |
WOS关键词 | OUTGOING LONGWAVE RADIATION ; SEA-SURFACE TEMPERATURE ; CLIMATE SENSITIVITY ; DIURNAL CYCLE ; CIRCULATION ; FEEDBACK ; CONVECTION ; DATASETS ; CMIP5 ; ISCCP |
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/35914 |
专题 | 气候变化 |
作者单位 | 1.Univ Washington, Dept Appl Math, Seattle, WA 98195 USA; 2.CALTECH, Jet Prop Lab, Pasadena, CA USA; 3.Chinese Univ Hong Kong, Dept Phys, Shatin, Hong Kong, Peoples R China; 4.Brown Univ, Div Appl Math, Providence, RI 02912 USA; 5.Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA; 6.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Li, King-Fai,Su, Hui,Mak, Sze-Ning,et al. An analysis of high cloud variability: imprints from the El Nio-Southern Oscillation[J]. CLIMATE DYNAMICS,2017,48. |
APA | Li, King-Fai.,Su, Hui.,Mak, Sze-Ning.,Chang, Tiffany M..,Jiang, Jonathan H..,...&Yung, Yuk L..(2017).An analysis of high cloud variability: imprints from the El Nio-Southern Oscillation.CLIMATE DYNAMICS,48. |
MLA | Li, King-Fai,et al."An analysis of high cloud variability: imprints from the El Nio-Southern Oscillation".CLIMATE DYNAMICS 48(2017). |
条目包含的文件 | 条目无相关文件。 |
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