Ocean Science
Ocean Science
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Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/os-15-291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-15-291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Research article
 | 
22 Mar 2019
Research article |  | 22 Mar 2019

Upscaling of a local model into a larger-scale model

Luc Vandenbulcke and Alexander Barth

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Cited articles

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Alvarez, A., Lopez, C., Riera, M., Hernandez-Garcia, E., and Tintore, J.: Forecasting the SST space-time variability of the Alboran sea with genetic algorithms, Geophys. Res. Lett., 27, 2709–2712, https://doi.org/10.1029/1999GL011226, 2000. a
Auclair, F., Casitas, S., and Marsaleix, P.: Application of an inverse method to coastal modeling, J. Atmos Ocean. Tech., 17, 1368–1391, 2000. a
Auclair, F., Marsaleix, P., and Estournel, C.: The penetration of the Northern Current over the Gulf of Lions (Mediterranean) as a downscaling problem, Oceanol. Acta, 24, 529–544, 2001. a
Auclair, F., Marsaleix, P., and De Mey, P.: Space-time structure and dynamics of the forecast error in a coastal circulation model of the Gulf of Lions, Dynam. Atmos. Oceans, 36, 309–346, 2003. a
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In operational oceanography, regional and local models use large-scale models (such as those run by CMEMS) for their initial and/or boundary conditions, but unfortunately there is no feedback that improves the large-scale models. The present study aims at replacing normal two-way nesting by a data assimilation technique. This upscaling method is tried out in the north-western Mediterranean Sea using the NEMO model and shows that the basin-scale model does indeed benefit from the nested model.
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The Copernicus Marine Environment Monitoring Service (CMEMS):...