Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 8 4 2008 10.5194/acpd-8-16473-2008 http://www.atmos-chem-phys-discuss.net/8/16473/2008/ http://www.atmos-chem-phys-discuss.net/8/16473/2008/acpd-8-16473-2008.html http://www.atmos-chem-phys-discuss.net/8/16473/2008/acpd-8-16473-2008.pdf 16473 16500 2008-08-28 On the extraction of wind information from the assimilation of ozone profiles in Météo–France 4D-Var operational NWP suite N. Semane V.-H. Peuch S. Pradier G. Desroziers L. El Amraoui P. Brousseau S. Massart B. Chapnik A. Peuch CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France CNRM, Direction de la Météorologie Nationale, Casablanca, Morocco Laboratoire d'Aérologie, Toulouse, France CERFACS, Toulouse, France DP, Météo–France, Toulouse, France By applying four-dimensional variational data-assimilation (4D-Var) to a combined ozone and dynamics Numerical Weather Prediction model (NWP), ozone observations generate wind increments through the ozone-dynamics coupling. The dynamical impact of Aura/MLS satellite ozone profiles is investigated using Météo–France operational <i> ARPEGE</i> NWP 4D-Var assimilation system for a period of 3 months. A data-assimilation procedure has been designed and run on 6-h windows. The procedure includes: (1) 4D-Var assimilating both ozone and operational NWP standard observations, (2) <i> ARPEGE</i> transporting ozone as a passive-tracer, (3) <i>MOCAGE</i>, the Météo–France chemistry and transport model re-initializing the <i>ARPEGE</i> ozone background at the beginning time of the assimilation window. The Degrees of Freedom for Signal diagnostics show that the MLS data covering the 68.1–31.6 hPa vertical pressure range are the most informative and their information content is nearly of the same order as tropospheric humidity-sensitive radiances. Furthermore, with the help of error variance reduction diagnostics, the ozone contribution to the reduction of the horizontal divergence background-error variance is shown to be better than tropospheric humidity-sensitive radiances. Moreover, by using observation minus forecast statistics, it is found that the ozone assimilation reduces the wind bias in the lower stratosphere. 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