Atmos. Chem. Phys. Discuss., 9, 6691-6737, 2009
www.atmos-chem-phys-discuss.net/9/6691/2009/
doi:10.5194/acpd-9-6691-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
First steps towards the assimilation of IASI ozone data into the MOCAGE-PALM system
S. Massart1, C. Clerbaux2, D. Cariolle1, A. Piacentini1, S. Turquety2, and J. Hadji-Lazaro2
1URA CNRS/CERFACS No. 1875, 42 avenue Gaspard Coriolis, 31057 Toulouse, France
2Université Pierre et Marie Curie-Paris 6, CNRS 8190, LATMOS/IPSL, Paris, France

Abstract. The Infrared Atmospheric Sounding Interferometer (IASI) is one of the five European new generation instruments carried by the polar-orbiting MetOp-A satellite. Data assimilation is a powerful tool to combine these data with a numerical model. This paper presents the first steps made towards the assimilation of the total ozone columns from the IASI measurements into a chemistry transport model. The IASI ozone data used are provided by an inversion of radiances performed at the LATMOS (Laboratoire Atmosphères, Milieux, Observations Spatiales). As a contribution to the validation of this dataset, the LATMOS-IASI data are compared to a four dimensional ozone field, with low systematic and random errors compared to ozonesondes and OMI-DOAS data. This field results from the combined assimilation of ozone profiles from the MLS instrument and of total ozone columns from the SCIAMACHY instrument. It is found that on average, the LATMOS-IASI data tends to overestimate the total ozone columns by 2% to 8%. The random observation error of the LATMOS-IASI data is estimated to about 6%, except over polar regions and deserts where it is higher. Using this information, the LATMOS-IASI data are then assimilated, combined with the MLS data. This first LATMOS-IASI data assimilation experiment shows that the resulting analysis is quite similar to the one obtained from the combined MLS and SCIAMACHY data assimilation.

Citation: Massart, S., Clerbaux, C., Cariolle, D., Piacentini, A., Turquety, S., and Hadji-Lazaro, J.: First steps towards the assimilation of IASI ozone data into the MOCAGE-PALM system, Atmos. Chem. Phys. Discuss., 9, 6691-6737, doi:10.5194/acpd-9-6691-2009, 2009.
 
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