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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
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Luc Vandenbulcke on behalf of the Authors (23 Dec 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jan 2019) by Angelique Melet
RR by Anonymous Referee #2 (17 Jan 2019)
RR by Anonymous Referee #1 (26 Jan 2019)
ED: Publish subject to minor revisions (review by editor) (29 Jan 2019) by Angelique Melet
AR by Luc Vandenbulcke on behalf of the Authors (05 Feb 2019)  Author's response
ED: Publish subject to technical corrections (04 Mar 2019) by Angelique Melet
AR by Luc Vandenbulcke on behalf of the Authors (07 Mar 2019)  Author's response    Manuscript
Publications Copernicus
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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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