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

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

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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 residua...

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Main Author: S. G. Dobrovolski
Format: Article
Language:English
Published: Copernicus Publications
Series:Annales Geophysicae
Online Access:http://www.ann-geophys.net/12/903/1994/angeo-12-903-1994.html
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spelling doaj-f5009871f578471e8d175346517719c72020-11-25T01:18:35ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-0576129903909South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic modelsS. G. DobrovolskiData 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. http://www.ann-geophys.net/12/903/1994/angeo-12-903-1994.html
collection DOAJ
language English
format Article
sources DOAJ
author S. G. Dobrovolski
spellingShingle S. G. Dobrovolski
South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
Annales Geophysicae
author_facet S. G. Dobrovolski
author_sort S. G. Dobrovolski
title South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
title_short South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
title_full South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
title_fullStr South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
title_full_unstemmed South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
title_sort south atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
publisher Copernicus Publications
series Annales Geophysicae
issn 0992-7689
1432-0576
description 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.
url http://www.ann-geophys.net/12/903/1994/angeo-12-903-1994.html
work_keys_str_mv AT sgdobrovolski southatlanticseasurfacetemperatureanomaliesandairseainteractionsstochasticmodels
_version_ 1725141736633663488

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