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Titel |
Coupled climate networks for analysing the terrestrial atmosphere's vertical dynamical structure |
VerfasserIn |
Jonathan Donges, Hanna C. H. Schultz, Norbert Marwan, Yong Zou, Jürgen Kurths |
Konferenz |
EGU General Assembly 2011
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 13 (2011) |
Datensatznummer |
250047205
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Zusammenfassung |
Network theory provides various tools for investigating the structural or functional topology
of many complex systems found in nature, technology and society. Nevertheless, it has
recently been realised that a considerable number of systems of interest should be treated,
more appropriately, as interacting networks or networks of networks. Here we introduce a
novel graph-theoretical framework for studying the interaction structure between
subnetworks embedded within a complex network of networks. This framework allows us to
quantify the structural role of single vertices or whole subnetworks with respect to the
interaction of a pair of subnetworks on local, mesoscopic and global topological
scales.
Climate networks have recently been shown to be a powerful tool for the analysis of
climatological data. Applying the general framework for studying interacting networks, we
introduce coupled climate subnetworks to represent and investigate the topology of statistical
relationships between the fields of distinct climatological variables. Using coupled
climate subnetworks to investigate the terrestrial atmosphere’s three-dimensional
geopotential height field uncovers known as well as interesting novel features of the
atmosphere’s vertical stratification and general circulation. Specifically, the new measure
“cross-betweenness" identifies regions which are particularly important for mediating vertical
wind field interactions. The promising results obtained by following the coupled climate
subnetwork approach present a first step towards an improved understanding of the
Earth system and its complex interacting components from a network perspective. |
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