Articles | Volume 9, issue 14
Atmos. Chem. Phys., 9, 4855–4867, 2009
Atmos. Chem. Phys., 9, 4855–4867, 2009

  22 Jul 2009

22 Jul 2009

On the extraction of wind information from the assimilation of ozone profiles in Météo–France 4-D-Var operational NWP suite

N. Semane1,2, V.-H. Peuch1, S. Pradier1, G. Desroziers1, L. El Amraoui1, P. Brousseau1, S. Massart3, B. Chapnik1, and A. Peuch4 N. Semane et al.
  • 1CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
  • 2CNRM, Direction de la Météorologie Nationale, Casablanca, Morocco
  • 3CERFACS, Toulouse, France
  • 4DP, Météo–France, Toulouse, France

Abstract. 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 ARPEGE 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) ARPEGE transporting ozone as a passive-tracer, (3) MOCAGE, the Météo–France chemistry and transport model re-initializing the ARPEGE 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.

Final-revised paper