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| Titel |
Expectation-maximization analysis of spatial time series |
| VerfasserIn |
K. W. Smith, A. L. Aretxabaleta |
| 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 ; 14, no. 1 ; Nr. 14, no. 1 (2007-02-01), S.73-77 |
| Datensatznummer |
250012128
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| Publikation (Nr.) |
 copernicus.org/npg-14-73-2007.pdf |
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| Zusammenfassung |
| Expectation maximization (EM) is used to estimate the parameters of a Gaussian
Mixture Model for spatial time series data. The method is presented
as an alternative and complement to Empirical Orthogonal Function (EOF) analysis.
The resulting weights, associating time points with component distributions, are
used to distinguish physical regimes. The method is applied to equatorial Pacific
sea surface temperature data from the TAO/TRITON mooring time series.
Effectively, the EM algorithm partitions the time series into El Niño, La
Niña and normal conditions. The EM method leads to a clearer
interpretation of the variability associated with each regime than the basic EOF
analysis. |
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