| DOI: | 10.1002/grl.50386
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| 论文题名: | Global modes of climate variability |
| 作者: | De Viron O.; Dickey J.O.; Ghil M.
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| 刊名: | Geophysical Research Letters
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| ISSN: | 0094-9105
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| EISSN: | 1944-8836
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| 出版年: | 2013
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| 卷: | 40, 期:9 | | 起始页码: | 1832
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| 结束页码: | 1837
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| 语种: | 英语
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| 英文关键词: | climate
; teleconnection
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| Scopus关键词: | climate
; Interannual time scale
; Madden-Julian oscillation
; North Atlantic oscillations
; Principal Components
; Sea surface temperature (SST)
; Teleconnections
; Total variabilities
; Atmospheric pressure
; Atmospheric temperature
; Climatology
; climate change
; El Nino-Southern Oscillation
; Madden-Julian oscillation
; marine atmosphere
; North Atlantic Oscillation
; periodicity
; sea surface temperature
; teleconnection
; Atlantic Ocean
; Atlantic Ocean (North)
; Pacific Ocean
; Pacific Ocean (North)
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| 英文摘要: | The atmosphere, hydrosphere, and cryosphere form a fully coupled climate system. This system exhibits a number of large-scale phenomena, such as the El Niño-Southern Oscillation, the Asian Monsoon, the North Atlantic Oscillation, and the Madden-Julian Oscillation. While these modes of variability are not exactly periodic, they are oscillatory in character, and their state is monitored using so-called climate indices. Each of these scalar indices is a combination of several climate variables. Here we use a comprehensive set of 25 climate indices for time intervals that range between 1948 and 2011 and estimate an optimal set of lags between these indices to maximize their correlation. We show that most of the index pairs drawn from this set present a significant correlation on interannual time scales. It is also shown that on average, about two thirds of the total variability in each index can be described by using only the four leading principal components of the entire set of lagged indices. Our index set's leading orthogonal modes exhibit several interannual frequencies and capture separately variability associated with the North Atlantic and the North Pacific. These modes are associated, in turn, with large-scale variations of sea surface temperatures. Key PointsMost of the climate indices are cross-correlated significantlyMost of their variability can be captured with only four principal componentsThose components are associated with global signatures in the SST ©2013. American Geophysical Union. All Rights Reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879125116&doi=10.1002%2fgrl.50386&partnerID=40&md5=2f2a2394b0a11225b2acfffd680c4c47
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/6369
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| Appears in Collections: | 气候减缓与适应
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作者单位: | Géodésie et Gravimétrie, Univ Paris Diderot, UMR 7154 CNRSF, 75013 Paris, France
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| Recommended Citation: | |
De Viron O.,Dickey J.O.,Ghil M.. Global modes of climate variability[J]. Geophysical Research Letters,2013-01-01,40(9).
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