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| Titel |
Regional and inter-regional effects in evolving climate networks |
| VerfasserIn |
J. Hlinka, D. Hartman, N. Jajcay, M. Vejmelka, R. Donner, N. Marwan, J. Kurths, M. Paluš |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 21, no. 2 ; Nr. 21, no. 2 (2014-04-01), S.451-462 |
| Datensatznummer |
250120905
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| Publikation (Nr.) |
 copernicus.org/npg-21-451-2014.pdf |
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| Zusammenfassung |
| Complicated systems composed of many interacting subsystems are frequently studied as complex
networks. In the simplest approach, a given real-world system is represented
by an undirected graph composed of nodes standing for the subsystems and
non-oriented unweighted edges for interactions present among the nodes; the
characteristic properties of the graph are subsequently studied and related
to the system's behaviour. More detailed graph models may include edge
weights, orientations or multiple types of links; potential time-dependency
of edges is conveniently captured in so-called evolving networks. Recently,
it has been shown that an evolving climate network can be used to disentangle
different types of El Niño episodes described in the literature. The time evolution of several graph
characteristics has been compared with the intervals of El Niño and La
Niña episodes. In this study we identify the sources of the evolving
network characteristics by considering a reduced-dimensionality description
of the climate system using network nodes given by rotated principal
component analysis. The time evolution of structures in local intra-component
networks is studied and compared to evolving inter-component connectivity. |
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