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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 9
Ann. Geophys., 12, 903–909, 1994
https://doi.org/10.1007/s00585-994-0903-9
© European Geosciences Union 1994
Ann. Geophys., 12, 903–909, 1994
https://doi.org/10.1007/s00585-994-0903-9
© European Geosciences Union 1994

  31 Aug 1994

31 Aug 1994

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

S. G. Dobrovolski S. G. Dobrovolski

Abstract. 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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