Team clime

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: Scientific Foundations

Keywords : data assimilation, inverse modelling, ensemble forecast, network design.

Data assimilation and inverse modelling

This activity is one of the present major stake in environmental sciences. It matches up the setting and the use of data assimilation methods, notably variational methods (4D-var). An emerging point lies in uncertainties propagation in models, notably through ensemble prevision methods.

Although modeling is not part of the scientific objectives of the Clime team, we have a complet access to models developed by CEREA (joint ENPC/EDF R&D laboratory): Polair3D (photochemical pollution forecasting at continental and regional scales) and MERCURE (urban scale) for air quality problems. Concerning other modelling domains, the Clime team accesses models through co-operations. For instance, a shallow model of the Black Sea circulation developped at Marine Hydrophysical Institut (MHI, Ukrain), the radiative transfer model LBLRTM developped at Atmospheric Environment Research (AER), etc .

The research activities tackle scientific issues such as:


previous
next

Logo Inria