Author(s)

S. Massart

Abstract

Data assimilation, which plays an important role in the analysis of atmospheric data, in particular in Numerical Weather Prediction (NWP), is increasingly being used to analyze photochemical data. This paper presents how MOCAGE CTM simulations of global ozone have been improved using a variational assimilation scheme. The analysis of the retrieved ozone profiles from the GOME nadirviewing spectrometer increases the quality of MOCAGE forecasts in terms of ozone profiles and total columns. 1 Introduction Since the evidence of the hole in the ozone layer over Antarctica presented by British Antarctic Survey in 1985, ozone has became one of the most important trace species in the atmosphere, and its study has generated wide scientific and public interest. Because of its role in the radiation budget, in the tropospheric pollution

Keywords