Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48189
DC FieldValueLanguage
dc.contributor.authorMachin, F.en_US
dc.contributor.authorHerraiz, L.en_US
dc.contributor.authorPelegrí Llopart,José Luisen_US
dc.contributor.authorMarrero-Diaz, A.en_US
dc.contributor.authorFont, J.en_US
dc.contributor.authorRodriguez-Santana, A.en_US
dc.contributor.otherHerraiz Borreguero, Laura-
dc.contributor.otherMarrero-Diaz, Angeles-
dc.contributor.otherRodriguez-Santana, Angel-
dc.contributor.otherPelegri, Josep-
dc.contributor.otherFont, Jordi-
dc.contributor.otherMachin, Francisco-
dc.date.accessioned2018-11-23T19:38:40Z-
dc.date.available2018-11-23T19:38:40Z-
dc.date.issued2010en_US
dc.identifier.issn0924-7963en_US
dc.identifier.urihttp://hdl.handle.net/10553/48189-
dc.description.abstractWe test the skill of a polynomial fit to reproduce the upper ocean (down to 750 m) salinity in the eastern North Atlantic (from the Canary Islands to the Iberian Peninsula, approximately 12° × 12°) as a function of temperature and depth. A historical database, constructed by merging several regional datasets, is used. An ANOVA test is performed to determine the optimum degree of temperature and depth in the polynomial fit. The polynomial coefficients are estimated by solving an inverse model where we control the size of both coefficients and residuals. We divide the basin in 21 zones (2° × 2°) and four regions (each comprising several zones), and run the inversion for the whole basin, as well as for each individual region and zone. This allows us to assess the sensitivity of the model to changes in the spatial domain, and to investigate the spatial variability of the polynomial coefficients. Regions are defined by applying a cluster analysis to objectively group those zones with similar oceanographic properties. The seasonality of the coefficients is addressed with data from the whole basin and individual regions. We find that, for either the whole basin or individual regions, seasonal coefficients predict salinity more accurately than annual ones, but annual coefficients per zone yet provide the best results. The depth-averaged error estimating salinity is less than 0.086 psu.en_US
dc.languageengen_US
dc.relationEsp2005-06823-C05-04 Calibración de Las Medidas Obtenidas Por El Radiometro Miras de la Mision Smos y Generacion de Mapas de Salinidad y Humedad Del Suelo. Parte Ulpgcen_US
dc.relation.ispartofJournal of Marine Systemsen_US
dc.sourceJournal Of Marine Systems [ISSN 0924-7963], v. 80 (3-4), p. 144-159en_US
dc.subject251007 Oceanografía físicaen_US
dc.subject.other(10.5–5.5 °W/33.5–37.5 °N)en_US
dc.subject.otherInverse modelen_US
dc.subject.otherUpper oceanen_US
dc.subject.otherExpandable bathythermographen_US
dc.titleInverse modeling of salinity-temperature-depth relationships: Application to the upper eastern North Atlantic subtropical gyreen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.relation.conference1st International Symposium on Marine Sciences-
dc.identifier.doi10.1016/j.jmarsys.2009.10.005-
dc.identifier.scopus75749114433-
dc.identifier.isi000275574700002-
dcterms.isPartOfJournal Of Marine Systems-
dcterms.sourceJournal Of Marine Systems[ISSN 0924-7963],v. 80 (3-4), p. 144-159-
dc.contributor.authorscopusid6602804374-
dc.contributor.authorscopusid35558597700-
dc.contributor.authorscopusid7003869003-
dc.contributor.authorscopusid6507074043-
dc.contributor.authorscopusid7201620951-
dc.contributor.authorscopusid6506514177-
dc.description.lastpage159-
dc.description.firstpage144-
dc.relation.volume80-
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid1451397-
dc.contributor.daisngid3085594-
dc.contributor.daisngid358123-
dc.contributor.daisngid1846069-
dc.contributor.daisngid202513-
dc.contributor.daisngid1821092-
dc.identifier.investigatorRIDD-5795-2015-
dc.identifier.investigatorRIDH-2175-2015-
dc.identifier.investigatorRIDH-8596-2015-
dc.identifier.investigatorRIDL-5815-2014-
dc.identifier.investigatorRIDE-5355-2013-
dc.identifier.investigatorRIDA-9287-2009-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Machin, F-
dc.contributor.wosstandardWOS:Herraiz, L-
dc.contributor.wosstandardWOS:Pelegri, JL-
dc.contributor.wosstandardWOS:Marrero-Diaz, A-
dc.contributor.wosstandardWOS:Font, J-
dc.contributor.wosstandardWOS:Rodriguez-Santana, A-
dc.date.coverdateMarzo 2010-
dc.identifier.conferenceidevents120704-
dc.identifier.ulpgces
dc.description.jcr2,005
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.project.principalinvestigatorEugenio González, Francisco-
crisitem.event.eventsstartdate28-03-2007-
crisitem.event.eventsenddate31-03-2007-
crisitem.author.deptGIR Oceanografía Física y Geofísica Aplicada-
crisitem.author.deptDepartamento de Física-
crisitem.author.deptGIR Oceanografía Física y Geofísica Aplicada-
crisitem.author.deptDepartamento de Física-
crisitem.author.deptGIR Oceanografía Física y Geofísica Aplicada-
crisitem.author.deptDepartamento de Física-
crisitem.author.orcid0000-0002-4281-6804-
crisitem.author.orcid0000-0001-7697-0036-
crisitem.author.orcid0000-0003-1960-6777-
crisitem.author.parentorgDepartamento de Física-
crisitem.author.parentorgDepartamento de Física-
crisitem.author.parentorgDepartamento de Física-
crisitem.author.fullNameMachín Jiménez, Francisco José-
crisitem.author.fullNamePelegrí Llopart, José Luis-
crisitem.author.fullNameMarrero Díaz, María De Los Ángeles-
crisitem.author.fullNameRodríguez Santana, Ángel-
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