1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | marte.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Repository | ltid.inpe.br/sbsr/2004/11.19.16.28 |
Last Update | 2005:03.29.12.34.22 (UTC) erich@sid.inpe.br |
Metadata Repository | ltid.inpe.br/sbsr/2004/11.19.16.28.06 |
Metadata Last Update | 2018:06.06.02.42.22 (UTC) administrator |
ISBN | 85-17-00018-8 |
Citation Key | ArrudaLentCamp:2005:ExSoAt |
Title | A potential use of satellite derived upper ocean heat content for studying climate variability: an example for the South Atlantic  |
Format | CD-ROM, On-line. |
Year | 2005 |
Access Date | 2025, May 09 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 1602 KiB |
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2. Context | |
Author | 1 Arruda, Wilton Zumpichiatti 2 Lentini, Carlos Alessandre Domingos 3 Campos, Edmo José Dias |
Affiliation | 1 Instituto de Matemática, Universidade Federal do Rio de Janeiro (UFRJ) 2 Instituto Oceanográfico da Universidade de São Paulo (IO-USP) 3 Instituto Oceanográfico da Universidade de São Paulo (IO-USP) |
Editor | Epiphanio, José Carlos Neves Fonseca, Leila Maria Garcia |
e-Mail Address | wilton@im.ufrj.br |
Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR) |
Conference Location | Goiânia |
Date | 16-21 abr. 2005 |
Publisher | INPE |
Publisher City | São José dos Campos |
Pages | 3619-3628 |
Book Title | Anais |
Tertiary Type | Artigos |
Organization | Instituto Nacional de Pesquisas Espaciais |
History (UTC) | 2005-04-04 16:28:31 :: sbsr -> administrator :: 2009-06-03 15:59:15 :: administrator -> sbsr :: 2009-06-30 14:25:48 :: sbsr -> erich@sid.inpe.br :: 2010-05-14 02:46:15 :: erich@sid.inpe.br -> marciana :: 2011-02-16 13:59:36 :: marciana -> administrator :: 2005 2018-06-06 02:42:22 :: administrator -> :: 2005 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | altimeter data SHA South Atlantic Ocean heat content anomalies South Atlantic Thermocline Waters upper layer thickness two-layer model |
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. |
Area | SRE |
Type | Oceanografia |
doc Directory Content | access |
source Directory Content | arruda_etal.doc | 31/01/2005 12:04 | 915.5 KiB | |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.16.28 |
zipped data URL | http://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.19.16.28 |
Language | Português |
Target File | 3619.pdf |
User Group | administrator erich@sid.inpe.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | dpi.inpe.br/marte@80/2007/10.17.19.59 |
Host Collection | dpi.inpe.br/banon/2003/12.10.19.30 |
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6. Notes | |
Mark | 1 |
Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group identifier issn label lineage nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume |
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