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...
Published in: | Annales Geophysicae |
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Online Access: | https://doi.org/10.1007/s00585-994-0903-9 https://angeo.copernicus.org/articles/12/903/1994/ |
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ftcopernicus:oai:publications.copernicus.org:angeo33735 2023-05-15T13:31:38+02:00 South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models Dobrovolski, S. G. 2018-09-27 application/pdf https://doi.org/10.1007/s00585-994-0903-9 https://angeo.copernicus.org/articles/12/903/1994/ eng eng doi:10.1007/s00585-994-0903-9 https://angeo.copernicus.org/articles/12/903/1994/ eISSN: 1432-0576 Text 2018 ftcopernicus https://doi.org/10.1007/s00585-994-0903-9 2020-07-20T16:28:16Z 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. Text Antarc* Antarctic Copernicus Publications: E-Journals Antarctic Annales Geophysicae 12 9 903 909 |
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Open Polar |
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Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
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 |
Text |
author |
Dobrovolski, S. G. |
spellingShingle |
Dobrovolski, S. G. South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models |
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 |
publishDate |
2018 |
url |
https://doi.org/10.1007/s00585-994-0903-9 https://angeo.copernicus.org/articles/12/903/1994/ |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
eISSN: 1432-0576 |
op_relation |
doi:10.1007/s00585-994-0903-9 https://angeo.copernicus.org/articles/12/903/1994/ |
op_doi |
https://doi.org/10.1007/s00585-994-0903-9 |
container_title |
Annales Geophysicae |
container_volume |
12 |
container_issue |
9 |
container_start_page |
903 |
op_container_end_page |
909 |
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1766019601255104512 |