The general objectives of this project are to implement and validate innovative methodologies for the assimilation of altimeter data and other data into ocean and ecosystem models in order to contribute to the development of operational oceanography in the prospect of programmes such as GMES and to the development of scientific activities on the role of the ocean on climate (CLIVAR, IMBER) and the related observational components (GOOS).
Data assimilation methodological approaches will be multiple, taking advantages of the most recent advances in matters of statistical optimal estimation and optimal control theories. The comparisons of these various approaches and the joint use of their respective capabilities will be a central issue.
Altimetry from JASON-1, and from the forthcoming JASON-2/OSTM, will be the primary source of data for this project, in conjunction with ENVISAT and SARAL/AltiKa for altimetry, GRACE and GOCE for gravimetry and SMOS for salinity. But a particular attention will be brought to the use of multiple data of various nature including in-situ observations and to their optimal complementarity to altimetry.
The conjugate consideration of altimeter data and numerical models via data assimilation will allow to address several essential oceanographic questions:
Advanced Altimeter Data Assimilation for Physical Ocean Prediction and Ecosystem Monitoring