ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-9-4855-2009 On the extraction of wind information from the assimilation of ozone profiles in Météo–France 4-D-Var operational NWP suite Semane N. 1 2 Peuch V.-H. 1 Pradier S. 1 Desroziers G. 1 El Amraoui L. 1 Brousseau P. 1 Massart S. 3 Chapnik B. 1 Peuch A. 4 CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France CNRM, Direction de la Météorologie Nationale, Casablanca, Morocco CERFACS, Toulouse, France DP, Météo–France, Toulouse, France 22 07 2009 9 14 4855 4867 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/9/4855/2009/acp-9-4855-2009.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/9/4855/2009/acp-9-4855-2009.pdf

By applying four-dimensional variational data-assimilation (4-D-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 4-D-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) 4-D-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. Using observation minus forecast statistics, it is found that the ozone assimilation reduces the wind bias in the lower stratosphere. Moreover, 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.

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