DEVELOPMENT OF A BIOGEOCHEMICAL MULTI-DATA ASSIMILATION SCHEME TO INTEGRATE BIO-ARGO DATA WITH OCEAN COLOUR DATA INTO CMEMS-MFCs
PI and organization: Gianpiero Cossarini (OGS)
Other members of the proposing team: Stefano Salon (OGS), Heloise Lavigne (OGS), to be hired postdoc (OGS), Fabrizio D’Ortenzio (UPMC-LOV), Vincent Taillandier (UPMC-LOV), to be hired postdoc (UPMC-LOV).
External experts: Christel Pinazo (MIO), Clément Fontana (Geoid-Ocean).
Abstract: In MASSIMILI we aim to develop a multi-data assimilation framework to integrate Bio-Argo data with ocean colour data into the biogeochemical modelling systems of the CMEMS MFCs. We will start by qualifying the multi-data and multivariate biogeochemical datasets (Bio-Argo and ocean colour) to be used by the assimilation scheme. Then we will develop the numerical components of a new multi-data scheme which assimilates chlorophyll, nitrate and oxygen in the frame of the 3DVAR variational scheme already implemented in the biogeochemical component of the CMEMS MED-MFC. Finally, we will assess the impacts of the new multi-data assimilation scheme to the CMEMS biogeochemical products following a protocol of different tests, by adopting new skill performance metrics specifically developed in the project to validate the multi-data assimilation with selected observational datasets. The proposed activities of MASSIMILI will benefit the users by increasing the quality of the CMEMS biogeochemical products with a better quantification of the model errors. We will also contribute to the capacity building for CMEMS TACs and MFCs involved in biogeochemical multi-data use and assimilation. Further, MASSIMILI will provide feedback/suggestions on the efficiency/performances of the existing and future Bio-Argo networks.