Satellite data assimilation at regional scale using the Chimere model

The quantity and accuracy of satellite data is constantly growing up for air quality monitoring. They are already widely used to perform better forecast and analysis for global modeling. Even if, high resolution modeling at regional scale has been relying on surface observation for a long time, we will focus on data assimilation over Europe looking especially for satellite data assimilation.In this study, the Chemistry model transport CHIMERE is associated to the Data Assimilation Research Testbed (DART from the National Center Atmospheric Research) to simulate recent events of pollution using for the Sentinel 5P data. Preliminary results coming from the CAMs EvOlution (CAMEO) project will be presented for the Sentinel 5P data. Special emphasis will be made on the regional set-up of the Adjustment Ensemble Kalman Filter (AEKF) ensemble data assimilation system used and future developments