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OS | Articles | Volume 15, issue 2
Ocean Sci., 15, 291–305, 2019
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: The Copernicus Marine Environment Monitoring Service (CMEMS):...

Ocean Sci., 15, 291–305, 2019
https://doi.org/10.5194/os-15-291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

Med analyses at 1/16th, Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents 2013-2017) E. Clementi, J. Pistoia, C. Fratianni, D. Delrosso, A. Grandi, M. Drudi, G. Coppini, R. Lecci, and N. Pinardi https://doi.org/10.25423/MEDSEA_ANALYSIS_FORECAST_PHYS_006_001

Mediterranean Sea physical reanalysis (MEDREA 1987-2015) A. Simoncelli, C. Fratianni, N. Pinardi, A. Grandi, M. Drudi, P. Oddo, and S. Dobricic https://doi.org/10.25423/medsea_reanalysis_phys_006_004

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Short summary
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.
In operational oceanography, regional and local models use large-scale models (such as those run...
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