 |
| Titel |
Disentangling different types of El Niño episodes by evolving climate network analysis |
| VerfasserIn |
A. Radebach, R. V. Donner, J. G. B. Runge, J. F. Donges, J. Kurths |
| Konferenz |
EGU General Assembly 2012
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250065382
|
|
|
|
|
|
| Zusammenfassung |
| Complex network theory provides a powerful toolbox for studying the backbone of statistical
interrelationships between multiple time series in various scientific disciplines. In this work,
we apply the recently proposed climate network approach for characterizing the
evolving correlation structure of the Earth’s climate system based on reanalysis data of
surface air temperatures. We provide a detailed study on the temporal variability of
several global climate network characteristics, which allows deriving results that go
significantly beyond recent findings. Based on a simple conceptual view on climate
networks, we are able to give a thorough interpretation of our evolving climate network
characteristics, which allows a functional discrimination between recently recognized
different types of El Niño episodes (so-called cold-tongue and warm pool events). In
this respect, our analysis provides deep insights into the Earth’s climate system,
particularly its response to strong volcanic eruptions and large-scale impacts of
different types of El Niño episodes, and thus contributes to the understanding of the
global signatures of distinct phases of the El Niño Southern Oscillation (ENSO). |
|
|
|
|
|
|