Upscaling of a local model into a larger-scale model

Vandenbulcke, Luc; Barth, Alexander

doi:https://doi.org/10.5194/os-15-291-2019

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:

The Copernicus Marine Environment Monitoring Service (CMEMS):...

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

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

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.