Ocean Sci. Discuss., 6, 2831-2859, 2009
www.ocean-sci-discuss.net/6/2831/2009/
doi:10.5194/osd-6-2831-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Ocean Science (OS). Please refer to the corresponding final paper in OS.
Spatio-temporal complexity analysis of the sea surface temperature in the Philippines
Z. T. Botin1, L. T. David2, R. C. H. del Rosario1,*, and L. Parrott3
1Institute of Mathematics, University of the Philippines Diliman, 1101 Quezon City, Philippines
2Marine Science Institute, University of the Philippines Diliman, 1101 Quezon City, Philippines
3Département de géographie, Université de Montréal, C.P. 6128 succursale centre-ville, Montréal, QC H3C 3JY, Canada
*currently at: Genome Institute of Singapore, 60 Biopolis Street, #02-01 Genome, Singapore

Abstract. 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 but did not show significant differences between El Niño, La Niña and normal years. The spatial domain was subsequently divided into six thermal regions computed via clustering of temperature means. The STC values of each thermal region showed variations corresponding to the monsoonal shifts – as well as – to ENSO events. STC characterized environmental heterogeneity over space and time has the potential to define limits of bio-regions. The same approach can be utilized for many long-term remotely sensed data.

Citation: Botin, Z. T., David, L. T., del Rosario, R. C. H., and Parrott, L.: Spatio-temporal complexity analysis of the sea surface temperature in the Philippines, Ocean Sci. Discuss., 6, 2831-2859, doi:10.5194/osd-6-2831-2009, 2009.
 
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