Team clime

Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Scientific Foundations

Data assimilation and inverse modeling

This activity is currently one of the major concerns of environmental sciences. It matches up the setting and the use of data assimilation methods, for instance variational methods (4D-var). An emerging issue lies in the propagation of uncertainties in models, notably through ensemble forecasting methods.

Although modeling is not part of the scientific objectives of Clime, we have complete access to models developed by CEREA (Joint Laboratory of École des Ponts ParisTech/EDF R&D): the models from Polyphemus (pollution forecasting from local to regional scales) and Code-Saturne (urban scale). In regard to other modeling domains, Clime accesses models through co-operation initiatives either directly (for instance the shallow water model developed at MHI, Ukrain, has been provided to the team), or indirectly (for instance, issues on image assimilation for meteorology are studied in collaboration with operational centres).

The research activities tackle scientific issues such as:


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