Propagating information back from coastal/regional models to CMEMS
PI and organization: Alexander Barth (Univ. of Liège)
Co-Is: L. Vandenbulcke (Seamod/SC Jailoo)
Abstract: Many high-resolution (regional and coastal) models use CMEMS forecast as boundary conditions. However, no feedback mechanism is presently implemented in the CMEMS-MFCs to benefit from the high-resolution forecasts.
In this proposal, part of the nested models forecasts are extracted, and assimilated as pseudo-observations in the basin-scale model. The procedure is called upscaling. It is cheap (data assimilation is performed anyway in the basin-scale models), but very beneficial as a form of nesting feedback is realized. From the basin-scale MFC point-of-view, the nested models can be interpreted as «measurement devices» complementing too-sparse (real) observations. The MFCs will also benefit from data assimilation of local and/or ultra-high-resolution observations (e.g. SST) by the nested models. By improving the basin-scale model, in time, through more consistent open sea boundary conditions, the nested models will also be improved. In this project, the upscaling procedure will be tried out using NEMO in the Mediterranean Sea and its North-Western basin.
The first co-contractor (GHER / Université de Liège) has a very large experience of data assimilation, e.g. has led the SANGOMA project. The second co-contractor (seamod.ro / Jailoo) has implemented operational systems, ensemble forecasts and data assimilation, and realized some preliminary twin experiments of the upscaling procedure.