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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Language: | English |
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Springer Verlag
1994
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00038087 2023-05-15T14:02:33+02:00 South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models Dobrovolski, S. G. 1994-08 electronic https://doi.org/10.1007/s00585-994-0903-9 https://noa.gwlb.de/receive/cop_mods_00038087 eng eng Springer Verlag Annales Geophysicae -- http://www.bibliothek.uni-regensburg.de/ezeit/?1458425 -- https://www.ann-geophys.net/ -- https://www.ann-geophys.net/volumes.html -- http://link.springer.com/journal/585 -- 1432-0576 https://doi.org/10.1007/s00585-994-0903-9 https://noa.gwlb.de/receive/cop_mods_00038087 https://open-access.net/ uneingeschränkt info:eu-repo/semantics/restrictedAccess article Verlagsveröffentlichung article Text doc-type:article 1994 ftnonlinearchiv https://doi.org/10.1007/s00585-994-0903-9 2022-02-08T22:43:15Z 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 Niedersächsisches Online-Archiv NOA Antarctic Annales Geophysicae 12 9 903 909 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Dobrovolski, S. G. South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models |
topic_facet |
article Verlagsveröffentlichung |
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 |
Dobrovolski, S. G. |
author_facet |
Dobrovolski, S. G. |
author_sort |
Dobrovolski, S. G. |
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 |
Springer Verlag |
publishDate |
1994 |
url |
https://doi.org/10.1007/s00585-994-0903-9 https://noa.gwlb.de/receive/cop_mods_00038087 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
Annales Geophysicae -- http://www.bibliothek.uni-regensburg.de/ezeit/?1458425 -- https://www.ann-geophys.net/ -- https://www.ann-geophys.net/volumes.html -- http://link.springer.com/journal/585 -- 1432-0576 https://doi.org/10.1007/s00585-994-0903-9 https://noa.gwlb.de/receive/cop_mods_00038087 |
op_rights |
https://open-access.net/ uneingeschränkt info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1007/s00585-994-0903-9 |
container_title |
Annales Geophysicae |
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12 |
container_issue |
9 |
container_start_page |
903 |
op_container_end_page |
909 |
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1766272871829602304 |