globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2901-x
Scopus记录号: 2-s2.0-84946780504
论文题名:
Sea surface height variability in the North East Atlantic from satellite altimetry
作者: Sterlini P.; de Vries H.; Katsman C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期:2017-03-04
起始页码: 1285
结束页码: 1302
语种: 英语
英文关键词: North East Atlantic ; North Sea ; Sea level change ; Sea surface variability
英文摘要: Data from 21 years of satellite altimeter measurements are used to identify and understand the major contributing components of sea surface height variability (SSV) on monthly time-scales in the North East Atlantic. A number of SSV drivers is considered, which are categorised into two groups; local (wind and sea surface temperature) and remote (sea level pressure and the North Atlantic oscillation index). A multiple linear regression model is constructed to model the SSV for a specific target area in the North Sea basin. Cross-correlations between candidate regressors potentially lead to ambiguity in the interpretation of the results. We therefore use an objective hierarchical selection method based on variance inflation factors to select the optimal number of regressors for the target area and accept these into the regression model if they can be associated to SSV through a direct underlying physical forcing mechanism. Results show that a region of high SSV exists off the west coast of Denmark and that it can be represented well with a regression model that uses local wind, sea surface temperature and sea level pressure as primary regressors. The regression model developed here helps to understand sea level change in the North East Atlantic. The methodology is generalised and easily applied to other regions. © 2015, The Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53596
Appears in Collections:过去全球变化的重建

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作者单位: Royal Netherlands Meteorological Institute, de Bilt, Netherlands; TU Delft, Delft, Netherlands

Recommended Citation:
Sterlini P.,de Vries H.,Katsman C.. Sea surface height variability in the North East Atlantic from satellite altimetry[J]. Climate Dynamics,2016-01-01,47(2017-03-04)
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