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| Titel |
A Network of Networks Approach to Investigate the Influence of Sea Surface Temperature Variability on Monsoon Systems |
| VerfasserIn |
Aljoscha Rheinwalt, Bedartha Goswami, Niklas Boers, Jobst Heitzig, Norbert Marwan, Jürgen Kurths |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250093435
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| Publikation (Nr.) |
 EGU/EGU2014-8147.pdf |
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| Zusammenfassung |
| In this study, we analyze large-scale inter-dependencies between Sea
Surface Temperature (SST) and rainfall variability using climate
networks. On account of this analysis, we coarse-grain gridded SST and
rainfall datasets by merging grid points that are dynamically similar
to each other. We consider the SST and rainfall systems as two
distinct climate networks and use established cross-network measures
to understand their interrelations. As a first step, the spatial
distributions of these cross-network measures illustrate regions which
are of particular importance in the interaction between SST and
rainfall. Secondly, we go into further detail by investigating the
cross-network topology explicitly for these regions. Here, strong
influences from regions in the SST system in relation to other regions
in the rainfall system are detected. These influences structured in a
spatially embedded directed network describe important mechanisms
behind monsoon systems. For example, behind the Indian Summer Monsoon,
which is known to be controlled by SST variability over the adjacent
Indian Ocean. |
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