DOI: 10.1007/s00382-013-1708-x
Scopus记录号: 2-s2.0-84894380992
论文题名: Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes
作者: Bayr T. ; Dommenget D.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 42, 期: 2017-05-06 起始页码: 1631
结束页码: 1648
语种: 英语
英文关键词: Empirical orthogonal functions
; Global warming
; Modes of variability
; Spatial structure of variability
英文摘要: In analysis of climate variability or change it is often of interest how the spatial structure in modes of variability in two datasets differ from each other, e.g. between past and future climate or between models and observations. Often such analysis is based on Empirical Orthogonal Function (EOF) analysis or other simple indices of large-scale spatial structures. The present analysis lays out a concept on how two datasets of multivariate climate variability can be compared against each other on basis of EOF analysis and how the differences in the multivariate spatial structure between the two datasets can be quantified in terms of explained variance in the leading spatial patterns. It is also illustrated how the patterns of largest differences between the two datasets can be defined and interpreted. We illustrate this method on the basis of several well-defined artificial examples and by comparing our approach with examples of climate change studies from the literature. These literature examples include analysis of changes in the modes of variability under climate change for the sea level pressure (SLP) of the North Atlantic and Europe, the SLP of the Southern Hemisphere, the surface temperature of the Northern Hemisphere, the sea surface temperature of the North Pacific and for precipitation in the tropical Indo-Pacific. © 2013 Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54261
Appears in Collections: 过去全球变化的重建
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作者单位: GEOMAR Helmholtz Centre for Ocean Research, Düsternbrooker Weg 20, 24105 Kiel, Germany; School of Mathematical Sciences, Monash University, Clayton, VIC, Australia
Recommended Citation:
Bayr T.,Dommenget D.. Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes[J]. Climate Dynamics,2014-01-01,42(2017-05-06)