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A coastal ocean model intercomparison study for a three-dimensional idealised test case ArchiMer
Tartinville, B; Deleersnijder, E; Lazure, Pascal; Proctor, R; Ruddick, Kg; Uittenbogaard, Re.
Several coastal ocean models have been used to compute the circulation on the Northwest European Continental Shelf. Five of them, developed within the European Union, are compared in the scope of an idealised three-dimensional test case, dealing with the geostrophic adjustment of a freshwater cylinder. As the central eddy adjusts, unstable baroclinic vortices start to grow. All the models are able to produce such unstable vortices. However, two of them produce an order-two instability, which is in accordance with a previous laboratory experiment, while the others exhibit an order-four instability. Using a simple scaling analysis, it is seen that the azimuthal wavenumber depends on the ratio of the kinetic energy to the available potential energy. It...
Tipo: Text Palavras-chave: Model intercomparison; Advection; Baroclinic instability; Geostrophic balance.
Ano: 1998 URL: http://archimer.ifremer.fr/doc/00448/55938/57485.pdf
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A Deep Learning approach to spatiotemporal SSH interpolation and estimation of deep currents in geostrophic ocean turbulence ArchiMer
Manucharyan , Georgy E.; Siegelman , Lia; Klein, Patrice.
Satellite altimeters provide global observations of sea surface height (SSH) and present a unique dataset for advancing our theoretical understanding of upper ocean dynamics and monitoring its variability. Considering that mesoscale SSH patterns can evolve on timescales comparable to or shorter than satellite return periods, it is challenging to accurately reconstruct the continuous SSH evolution as currently available altimetry observations are still spatially and temporally sparse. Here we explore the possibility of SSH interpolation via Deep Learning by using synthetic observations from an idealized quasigeostrophic (QG) model of baroclinic ocean turbulence. We demonstrate that Convolutional Neural Networks with Residual Learning are superior in SSH...
Tipo: Text Palavras-chave: Baroclinic instability; Deep Learning; Deep ocean flows; Mesoscale eddies; Sea surface height interpolation; State estimation.
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00663/77502/79235.pdf
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Instability of the Mediterranean Water undercurrents southwest of Portugal: effects of baroclinicity and of topography ArchiMer
Cherubin, Laurent; Carton, Xavier; Paillet, Jerome; Morel, Yann; Serpette, Alain.
Southwest of Portugal, in situ data show that part of the mesoscale variability of the Mediterranean Water undercurrents is triggered by topographic effects (near capes and submarine canyons), and is driven by a dominantly baroclinic instability. The vertical alignment of these undercurrents observed at sites of eddy formation is indeed favorable to baroclinic instability. This instability is materialized by the formation of filaments and of small eddies in the Portimao canyon and of meddles near Cape Saint Vincent and near the Estramadura Promontory. Hydrological data and float trajectories reveal that these eddies have a baroclinic structure. Near Portimao canyon, the variation of the potential vorticity of the undercurrents again proves their...
Tipo: Text Palavras-chave: Eau méditerranéenne; Sous-courants; Instabilité barocline; "meddies"; Atlantique nord-est; Mediterranean Water; Undercurrents; Baroclinic instability; Meddies; NE Atlantic.
Ano: 2000 URL: http://archimer.ifremer.fr/doc/00255/36632/35219.pdf
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