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

Autor: S. G. Dobrovolski
Jazyk: angličtina
Předmět:
Zdroj: Annales Geophysicae, Vol 12, Iss 9, Pp 903-909 (0000)
Druh dokumentu: article
ISSN: 0992-7689
1432-0576
Popis: 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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