South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models

Details South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models

Sep 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994angeo..12..903d&link_type=abstract

Annales Geophysicae, vol. 12, Issue 9, pp.903-909

Mathematics

Logic

Scientific paper

Data on the South Atlantic monthly sea surface temperature anomalies (SSTA) are analysed using the maximum-entropy method. It is shown that the Markov first-order process can describe, to a first approximation, SSTA series. The region of maximum SSTA values coincides with the zone of maximum residual white noise values (sub-Antarctic hydrological front). The theory of dynamic-stochastic climate models is applied to estimate the variability of South Atlantic SSTA and air-sea interactions. The Adem model is used as a deterministic block of the dynamic-stochastic model. Experiments show satisfactorily the SSTA intensification in the sub-Antarctic front zone, with appropriate standard deviations, and demonstrate the leading role of the abnormal drift currents in these processes.

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