Team clime

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

Section: Application Domains

Air quality

Air quality modelling implies studying the interactions between meteorology and atmospheric chemistry in the various phases of matter, which leads to the development of highly complex models. The different usages of these models comprise operational forecast, case studies, impact studies, etc , with both societal (e.g. public information on pollution forecast) and economical impacts (e.g. impact studies for dangerous industrial sites). A model lacks some appropriate data, notably emissions, for performing an accurate forecast and data assimilation techniques are recognised as crucial for the improvement of forecast's quality. These techniques, and notably the variational ones, are barely surfacing in atmospheric chemistry.

In this context, the Clime team is interested in different problems:

The activities of the Clime team in air quality are supported by the development of the Polyphemus air quality modelling system. This system has a modular design, which makes it easier to manage high level applications such as inverse modelling, data assimilation and ensemble forecast.


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