In order to examine the importance of the surface energy budget components on causing variability in sea surface temperature, a non-conventional time series analysis technique originally developed for economic applications was adapted. Granger causality theory was developed initially as a means to examine variable relationships in the field of economics. Unlike traditional correlation techniques, this methodology is used to detect feedback relationships within the data between the processes that generated them. In other words, this method determines whether the ‘dependant variable’ is meaningfully responsive to changes in the ‘independent’ variable. The data used in this study was hourly data was extracted from the TAO buoys spread throughout differing regimes in the equatorial tropical Pacific. We examine the importance of feedback effects on hourly scales for different years and different locations across the Pacific. The importance of the surface energy budget fluxes in determining sea surface temperature was also evaluated for several locations and on an interannual basis. The hourly analysis demonstrated that causality and feedbacks were similar from year to year and from location to location. The use of daily averages however showed large differences in the importance of such parameters as solar radiation and latent heat flux from year to year. Selected results from this research will be shown.
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