Ocean Surface Geostrophic Circulation Climatology and Annual Variations Inferred from Satellite Altimetry and GOCE Gravity Data

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/62692
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Title: Ocean Surface Geostrophic Circulation Climatology and Annual Variations Inferred from Satellite Altimetry and GOCE Gravity Data
Authors: Sánchez Reales, José María | Vigo, Isabel | Trottini, Mario
Research Group/s: Métodos Estadístico-Matemáticos para el Tratamiento de Datos de Observación de la Tierra (MEMOT) | Geodesia Espacial y Dinámica Espacial
Center, Department or Service: Universidad de Alicante. Departamento de Matemática Aplicada | Universidad de Alicante. Departamento de Matemáticas
Keywords: Surface geostrophic circulation | Dynamic topography | Gravity field and steady-state ocean circulation explorer (GOCE) | Altimetry
Knowledge Area: Matemática Aplicada | Estadística e Investigación Operativa
Issue Date: Mar-2016
Publisher: Springer Basel
Citation: Pure and Applied Geophysics. 2016, 173(3): 849-860. doi:10.1007/s00024-014-0981-x
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.
URI: http://hdl.handle.net/10045/62692
ISSN: 0033-4553 (Print) | 1420-9136 (Online)
DOI: 10.1007/s00024-014-0981-x
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Springer Basel 2014
Peer Review: si
Publisher version: http://dx.doi.org/10.1007/s00024-014-0981-x
Appears in Collections:INV - SG - Artículos de Revistas
INV - GEDE - Artículos de Revistas

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