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| Titel |
An interaction network perspective on the relation between patterns of sea surface temperature variability and global mean surface temperature |
| VerfasserIn |
A. Tantet, H. A. Dijkstra |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2190-4979
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| Digitales Dokument |
URL |
| Erschienen |
In: Earth System Dynamics ; 5, no. 1 ; Nr. 5, no. 1 (2014-01-03), S.1-14 |
| Datensatznummer |
250115290
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| Publikation (Nr.) |
 copernicus.org/esd-5-1-2014.pdf |
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| Zusammenfassung |
| On interannual- to multidecadal timescales variability in sea surface temperature
appears to be organized in large-scale spatiotemporal patterns. In this paper, we
investigate these patterns by studying the community structure of interaction
networks constructed from sea surface temperature observations. Much of the
community structure can be interpreted using
known dominant patterns of variability, such as the El Niño/Southern Oscillation
and the Atlantic Multidecadal Oscillation. The community
detection method allows us to bypass some shortcomings of Empirical Orthogonal
Function analysis or composite analysis and can provide additional
information with respect to these classical analysis tools.
In addition, the study of the relationship
between the communities and indices of global surface temperature shows that,
while El Niño–Southern Oscillation is most dominant on interannual timescales,
the Indian West Pacific and
North Atlantic may also play a key role on decadal timescales. Finally, we show
that the comparison of the community structure from simulations and observations
can help detect model biases. |
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