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| Titel |
Quantile-based clustering of Sea Surface Temperature in the equatorial Pacific |
| VerfasserIn |
Andrés Alonso, Susana Barbosa, Sonia Gouveia, Manuel Scotto |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250126372
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| Publikation (Nr.) |
 EGU/EGU2016-6081.pdf |
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| Zusammenfassung |
| Sea surface temperature (SST), the temperature of the water close to the sea’s surface, is a
key climate variable, influencing both processes in the ocean and in the atmosphere above. In
particular the temporal variability and spatial structure of SST plays a fundamental role in the
El Niño/Southern Oscillation (ENSO) phenomenon in the equatorial Pacific. This
work addresses the classification of SST time series from the Tropical Atmosphere
Ocean (TAO) monitoring array in the equatorial Pacific using a new quantile-based
classification approach. The method considers a pair-wise dissimilarity measure
based on Quantile AutoCovariance Functions (Q-ACF). Q-ACF provides a powerful
tool to examine, for instance, serial dependence in non-Gaussian and/or nonlinear
time series exhibiting features such as time-irreversibility or tail dependence. The
classification results are consistent and spatially-coherent, with a clear separation
between the SST observations from buoys in the western, central and eastern Pacific. |
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