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| Titel |
Spatio-Temporal Complexity analysis of the Sea Surface Temperature in the Philippines |
| VerfasserIn |
Z. T. Botin, L. T. David, R. C. H. Rosario, L. Parrott |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 6, no. 4 ; Nr. 6, no. 4 (2010-11-09), S.933-947 |
| Datensatznummer |
250003682
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| Publikation (Nr.) |
 copernicus.org/os-6-933-2010.pdf |
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| Zusammenfassung |
| A spatio-temporal complexity (STC) measure which has been previously used to
analyze data from terrestrial ecosystems is employed to analyse 21 years of
remotely sensed sea-surface temperature (SST) data from the Philippines. STC
on the Philippine wide SST showed the monsoonal variability of the Philippine
waters. STC is correlated with the SST mean (R2 ≈ 0.7), and
inversely correlated with the SST standard deviation (R2 ≈ 0.9). Both
STC and SST are highest during the middle of the year, which coincides with
the Southwest Monsoon, but with the STC values being higher towards the end
of the monsoon until the start of the inter-monsoon. In order to determine if
STC has the potential to define limits of bio-regions, the spatial domain was
subsequently divided into six thermal regions computed via clustering of
temperature means. STC and EOF of the STC values were computed for each
thermal region. Our STC analysis of the SST data, and comparisons with SST
values suggest that the STC measure may be useful for characterising
environmental heterogeneity over space and time for many long-term remotely
sensed data. |
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