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DRAKKAR: developing high resolution ocean components for European Earth system models ArchiMer
Barnier, B.; Blaker, A.t.; Biatosch, A.; Böning, C.w.; Coward, A.; Deshayes, Julie; Hirshi, J.; Le Sommer, J.; Madec, G.; Maze, Guillaume; Molines, J.m.; New, A.; Penduff, T.; Scheinert, M.; Talandier, Claude; Treguier, Anne-marie.
DRAKKAR is a consortium of European ocean modelling teams. It was “created to take up the challenges of developing realistic global eddy-resolving/ permitting ocean/sea-ice models, and of building an ensemble of high resolution model hindcasts representing the ocean circulation from the 1960s to present” (quoting the DRAKKAR Group, 2007, in a CLIVAR Exchanges paper where the DRAKKAR strategy was presented for the first time). Now in the second decade of its existence, the DRAKKAR Group is active and thriving, and it is now timely to present recent developments and future plans in this special issue of CLIVAR Exchanges.
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Ano: 2014 URL: http://archimer.ifremer.fr/doc/00326/43698/43123.pdf
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Reconstruction of the 3-D Dynamics From Surface Variables in a High-Resolution Simulation of North Atlantic ArchiMer
Fresnay, S.; Ponte, Aurelien; Le Gentil, Sylvie; Le Sommer, J..
Several methods that reconstruct the three-dimensional ocean dynamics from sea level are presented and evaluated in the Gulf Stream region with a 1/60° realistic numerical simulation. The use of sea level is motivated by its better correlation with interior pressure or quasigeostrophic potential vorticity (PV) compared to sea surface temperature and sea surface salinity, and, by its observability via satellite altimetry. The simplest method of reconstruction relies on a linear estimation of pressure at depth from sea level. Another method consists in linearly estimating PV from sea level first and then performing a PV inversion. The last method considered, labeled SQG for surface quasigeostrophy, relies on a PV inversion but assumes no PV anomalies. The...
Tipo: Text Palavras-chave: Ocean dynamics; Quasi-geostrophy; Potential vorticity; Sea surface height; Correlation analysis; Spectral analysis.
Ano: 2018 URL: http://archimer.ifremer.fr/doc/00425/53632/54468.pdf
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