Ocean Surface Geostrophic Circulation Climatology and Annual Variations Inferred from Satellite Altimetry and GOCE Gravity Data
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Métodos Estadístico-Matemáticos para el Tratamiento de Datos de Observación de la Tierra (MEMOT) | es_ES |
dc.contributor | Geodesia Espacial y Dinámica Espacial | es_ES |
dc.contributor.author | Sánchez Reales, José María | - |
dc.contributor.author | Vigo, Isabel | - |
dc.contributor.author | Trottini, Mario | - |
dc.contributor.other | Universidad de Alicante. Departamento de Matemática Aplicada | es_ES |
dc.contributor.other | Universidad de Alicante. Departamento de Matemáticas | es_ES |
dc.date.accessioned | 2017-02-07T09:46:17Z | - |
dc.date.available | 2017-02-07T09:46:17Z | - |
dc.date.issued | 2016-03 | - |
dc.identifier.citation | Pure and Applied Geophysics. 2016, 173(3): 849-860. doi:10.1007/s00024-014-0981-x | es_ES |
dc.identifier.issn | 0033-4553 (Print) | - |
dc.identifier.issn | 1420-9136 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/62692 | - |
dc.description.abstract | We have studied, for the first time, variations in absolute surface geostrophic currents (SGC) using satellite data only. The proposed approach combines 18 years’ altimetry data, which provide reliable measurements of absolute sea level (ASL), with a gravity field and steady-state ocean circulation explorer geoid model to obtain dynamic topography, and achieves unprecedented precision and accuracy. Our proposal overcomes the main limitations of existing approaches based solely on altimetry data (which suffer from lack of an independent reference for derivation of ASL maps), and approximations based on in-situ data (which are characterized by a sparse and inhomogeneous coverage in time and space). Features of annual variations of SGC are also addressed. As a result of our study we provide new absolute SGC climatology in the form of a 52-week data set of surface current fields, gridded at quarter degree longitude and latitude resolution and resolving spatial scales as short as 140 km. For presentation, this data set is averaged monthly and the results, presented as monthly climatology, are compared with climatology based on in-situ observations from drifter data. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Springer Basel | es_ES |
dc.rights | © Springer Basel 2014 | es_ES |
dc.subject | Surface geostrophic circulation | es_ES |
dc.subject | Dynamic topography | es_ES |
dc.subject | Gravity field and steady-state ocean circulation explorer (GOCE) | es_ES |
dc.subject | Altimetry | es_ES |
dc.subject.other | Matemática Aplicada | es_ES |
dc.subject.other | Estadística e Investigación Operativa | es_ES |
dc.title | Ocean Surface Geostrophic Circulation Climatology and Annual Variations Inferred from Satellite Altimetry and GOCE Gravity Data | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1007/s00024-014-0981-x | - |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s00024-014-0981-x | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
Aparece en las colecciones: | INV - SG - Artículos de Revistas INV - GEDE - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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2016_Sanchez-Reales_etal_PureApplGeophys_final.pdf | Versión final (acceso restringido) | 25,04 MB | Adobe PDF | Abrir Solicitar una copia |
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