Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73577
Title: ECCO : a new approach to estimate the time variability of the Meridional Overturning Circulation in the South Atlantic at 30ºC
Authors: Arumí Planas, Cristina 
Director: Hernández Guerra, Alonso 
Casanova Masjoan, Maria 
UNESCO Clasification: 251007 Oceanografía física
Keywords: Circulación oceánica
Issue Date: 2019
Abstract: Time series of mass transport for the upper, deep and abyssal layers in the Atlantic Ocean at 30oS have been estimated using data obtained from the ECCOv4r3, a model developed by the Jet Propulsion Laboratory under a contract with the NASA. These estimations have been compared with analogous data obtained from the GO-SHIP hydrographic transoceanic sections at 30oS from 1993, 2003 and 2011. Results show that the ECCOv4r3 solution for the upper layers (γ#<27.58 kg/m3 ) is not significantly different from the mass transports estimated by the hydrographic data. This is not the case, however, for the deep and abyssal layers (γ#>27.58 kg/m3 ), where noticeable differences are found. The ECCOv4r3 points out that the Brazil Current shows a seasonal variability with higher mass transport from August to March (-15.8±0.7 Sv) than from April to July (-13.3±0.4 Sv). Furthermore, the ECCOv4r3 indicates that the Benguela Current shows a seasonal variability with higher mass transport from June to November (13.8±0.3 Sv) than from December to May (13.1±0.2 Sv). The comparison of heat transport and freshwater flux estimated with ECCOv4r3 to those obtained from hydrographic data show no significant differences. Nevertheless, the freshwater flux estimated by hydrographic data suggest that it has been decreasing during the study period, while the same estimation with ECCOv4r3 data do not show any decrease. The overturning stream-function estimated with ECCOv4r3 is not significantly different than the AMOC estimated by hydrographic data for the thermocline and intermediate layers. The ECCOv4r3 reveals that the AMOC shows a seasonal variability with stronger mass transport from April to September (16.6±0.9 Sv) than from October to March (14.5±0.2 Sv).
Department: Departamento de Física
Faculty: Facultad de Ciencias del Mar
Institute: IU de Oceanografía y Cambio Global
Degree: Grado en Ciencias del Mar
URI: http://hdl.handle.net/10553/73577
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