A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic
Abstract. The lack of continuous long-term hydrographic observations, especially in the South Atlantic Ocean, makes satellite-derived data an extremely useful tool to investigate time and spatial variability on a basin scale. Altimeter data, which is not affected by cloud coverage as infrared-derive...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.543.9129 2023-05-15T18:20:43+02:00 A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic Wilton Zumpichiatti Arruda Carlos Aless Re Domingos Lentini Edmo José Dias Campos The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.9129 http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.9129 http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf Key-words altimeter data SHA South Atlantic Ocean heat content anomalies South Atlantic Thermocline Waters upper layer thickness two-layer model. Palavras-chave altímetro Oceano Atlântico Sul conteúdo de calor anomalias Água de Termoclina do Atlântico Sul espessura da camada superior modelo de duas camadas text ftciteseerx 2016-01-08T11:12:02Z Abstract. The lack of continuous long-term hydrographic observations, especially in the South Atlantic Ocean, makes satellite-derived data an extremely useful tool to investigate time and spatial variability on a basin scale. Altimeter data, which is not affected by cloud coverage as infrared-derived data, provides extremely useful information on the vertical thermal and dynamical structure of the upper ocean when combined with climatological hydrographic through a diagnostic model. We present a semi-dynamic model that combines sea surface height anomalies from TOPEX/POSEIDON, infrared satellite-derived sea surface temperature, and World Ocean Atlas 2001 hydrographic data to generate maps of the Upper Ocean Heat Content Anomaly which is suitable for climate variability studies. Text South Atlantic Ocean Unknown |
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Key-words altimeter data SHA South Atlantic Ocean heat content anomalies South Atlantic Thermocline Waters upper layer thickness two-layer model. Palavras-chave altímetro Oceano Atlântico Sul conteúdo de calor anomalias Água de Termoclina do Atlântico Sul espessura da camada superior modelo de duas camadas |
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Key-words altimeter data SHA South Atlantic Ocean heat content anomalies South Atlantic Thermocline Waters upper layer thickness two-layer model. Palavras-chave altímetro Oceano Atlântico Sul conteúdo de calor anomalias Água de Termoclina do Atlântico Sul espessura da camada superior modelo de duas camadas Wilton Zumpichiatti Arruda Carlos Aless Re Domingos Lentini Edmo José Dias Campos A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
topic_facet |
Key-words altimeter data SHA South Atlantic Ocean heat content anomalies South Atlantic Thermocline Waters upper layer thickness two-layer model. Palavras-chave altímetro Oceano Atlântico Sul conteúdo de calor anomalias Água de Termoclina do Atlântico Sul espessura da camada superior modelo de duas camadas |
description |
Abstract. The lack of continuous long-term hydrographic observations, especially in the South Atlantic Ocean, makes satellite-derived data an extremely useful tool to investigate time and spatial variability on a basin scale. Altimeter data, which is not affected by cloud coverage as infrared-derived data, provides extremely useful information on the vertical thermal and dynamical structure of the upper ocean when combined with climatological hydrographic through a diagnostic model. We present a semi-dynamic model that combines sea surface height anomalies from TOPEX/POSEIDON, infrared satellite-derived sea surface temperature, and World Ocean Atlas 2001 hydrographic data to generate maps of the Upper Ocean Heat Content Anomaly which is suitable for climate variability studies. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Wilton Zumpichiatti Arruda Carlos Aless Re Domingos Lentini Edmo José Dias Campos |
author_facet |
Wilton Zumpichiatti Arruda Carlos Aless Re Domingos Lentini Edmo José Dias Campos |
author_sort |
Wilton Zumpichiatti Arruda |
title |
A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
title_short |
A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
title_full |
A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
title_fullStr |
A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
title_full_unstemmed |
A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic |
title_sort |
potential use of satellite derived upper ocean heat content for studying climate variability: an example for the south atlantic |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.9129 http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_source |
http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.9129 http://marte.dpi.inpe.br/col/ltid.inpe.br/sbsr/2004/11.19.16.28/doc/3619.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766198603265605632 |