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Modeling of the bottom water flow through the Romanche Fracture Zone with a primitive equation model - Part I: Dynamics ArchiMer
Ferron, Bruno; Mercier, Herle; Treguier, Anne-marie.
This paper investigates the dynamics of the Antarctic Bottom Water (AABW) flow through the Romanche Fracture Zone (RFZ) in a primitive equation model with a high horizontal and vertical resolution. Two examples of Rows over simple bathymetries show that a reduced gravity model captures the essential dynamics of the primitive equation model. The reduced gravity model is then used as a tool to identify what are the bathymetric structures (sills, narrows) that mostly constrain the AABW flow through the RFZ. When only these structures are represented in the primitive equation model, the AABW how is shown to be coherent with observations (transports, density and velocity structures).
Tipo: Text Palavras-chave: Circulation model; Fracture zone; Bottom water; Bathymetry.
Ano: 2000 URL: http://archimer.ifremer.fr/doc/2000/publication-802.pdf
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How deep Argo will improve the deep ocean in an ocean reanalysis ArchiMer
Gasparin, Florent; Hamon, Mathieu; Rémy, Elisabeth; Le Traon, Pierre-yves.
Global ocean sampling with autonomous floats going to 4,000 m/6,000 m, known as the deep Argo array, constitutes one of the next challenges for tracking climate change. The question here is how such global deep array will impact on ocean reanalyses. Based on the different behavior of four ocean reanalyses, we first identified that large uncertainty exist in current reanalyses in representing local heat and freshwater fluxes in the deep ocean (1 W/m2 and 10 cm/yr regionally). Additionally, temperature and salinity comparison with deep Argo observations demonstrates that reanalysis error in the deep ocean are of the same size, or even stronger, than the deep ocean signal. An experimental approach, using the 1/4◦ GLORYS2V4 system, is then presented to...
Tipo: Text Palavras-chave: Ocean; Thermocline circulation; Bottom currents; Bottom water; In situ oceanic observations; Reanalysis data; Oceanic variability.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00515/62647/67023.pdf
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