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

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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Bibliographic Details
Main Author: S. G. Dobrovolski
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications
Subjects:
Science
Q
Physics
QC1-999
Geophysics. Cosmic physics
QC801-809
Antarctic
Antarc*
Online Access:https://doaj.org/article/f5009871f578471e8d175346517719c7
id ftdoajarticles:oai:doaj.org/article:f5009871f578471e8d175346517719c7
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:f5009871f578471e8d175346517719c7 2023-05-15T13:33:53+02:00 South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models S. G. Dobrovolski https://doaj.org/article/f5009871f578471e8d175346517719c7 EN eng Copernicus Publications http://www.ann-geophys.net/12/903/1994/angeo-12-903-1994.html https://doaj.org/toc/0992-7689 https://doaj.org/toc/1432-0576 0992-7689 1432-0576 https://doaj.org/article/f5009871f578471e8d175346517719c7 Annales Geophysicae, Vol 12, Iss 9, Pp 903-909 (0000) Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 article ftdoajarticles 2022-12-31T06:57:39Z 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. Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles Antarctic
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
Physics
QC1-999
Geophysics. Cosmic physics
QC801-809
spellingShingle Science
Q
Physics
QC1-999
Geophysics. Cosmic physics
QC801-809
S. G. Dobrovolski
South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models
topic_facet Science
Q
Physics
QC1-999
Geophysics. Cosmic physics
QC801-809
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.
format Article in Journal/Newspaper
author S. G. Dobrovolski
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
url https://doaj.org/article/f5009871f578471e8d175346517719c7
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Annales Geophysicae, Vol 12, Iss 9, Pp 903-909 (0000)
op_relation http://www.ann-geophys.net/12/903/1994/angeo-12-903-1994.html
https://doaj.org/toc/0992-7689
https://doaj.org/toc/1432-0576
0992-7689
1432-0576
https://doaj.org/article/f5009871f578471e8d175346517719c7
_version_ 1766046765154304000

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