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Atmospheric Chemistry and Physics 12, 10 (2012) 4493-4512
Assimilation of IASI satellite CO fields into a global chemistry transport model for validation against aircraft measurements
A. Klonecki 1, Matthieu Pommier 2, 3, 4, 5, Cathy Clerbaux 2, 3, 5, 6, Gérard Ancellet 2, 3, 5, J.-P. Cammas 7, P.-F. Coheur 6, A. Cozic 8, G. S. Diskin 9, Juliette Hadji-Lazaro 2, 3, 5, D. A. Hauglustaine 8, D. Hurtmans 6, B. Khattatov 10, J.-F. Lamarque 10, Kathy S. Law 2, 3, 5, P. Nedelec 7, J.-D. Paris 3, 8, J. R. Podolske 11, P. Prunet 1, H. Schlager 12, S. Szopa 8, S. Turquety 5, 13
(2012)

This work evaluates the IASI CO product against independent in-situ aircraft data from the MOZAIC program and the POLARCAT aircraft campaign. The validation is carried out by analysing the impact of assimilation of eight months of IASI CO columns retrieved for the period of May to December 2008 into the global chemistry transport model LMDz-INCA. A modelling system based on a sub-optimal Kalman filter was developed and a specific treatment that takes into account the representativeness of observations at the scale of the model grid is applied to the IASI CO columns and associated errors before their assimilation in the model. Comparisons of the assimilated CO profiles with in situ CO measurements indicate that the assimilation leads to a considerable improvement of the model simulations in the middle troposphere as compared with a control run with no assimilation. Model biases in the simulation of background values are reduced and improvement in the simulation of very high concentrations is observed. The improvement is due to the transport by the model of the information present in the IASI CO retrievals. Our analysis also shows the impact of assimilation of CO on the representation of transport into the Arctic region during the POLARCAT summer campaign. A considerable increase in CO mixing ratios over the Asian source region was observed when assimilation was used leading to much higher values of CO during the cross-pole transport episode. These higher values are in good agreement with data from the POLARCAT flights that sampled this plume.
1 :  NOVELTIS
NOVELTIS
2 :  Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
CNRS : UMR8190 – Université Pierre et Marie Curie [UPMC] - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – INSU
3 :  Institut Pierre-Simon-Laplace (IPSL)
CNRS : FR636 – Institut de recherche pour le développement [IRD] – CEA – CNES – INSU – Université Pierre et Marie Curie [UPMC] - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – Ecole normale supérieure de Paris - ENS Paris
4 :  Air Quality Research Division, Environment Canada
Environment Canada
5 :  Université Pierre et Marie Curie - Paris 6 (UPMC)
Université Pierre et Marie Curie [UPMC] - Paris VI
6 :  Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique
Université Libre de Bruxelles
7 :  Laboratoire d'aérologie (LA)
CNRS : UMR5560 – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
8 :  Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
CNRS : UMR8212 – CEA : DSM/LSCE – Université de Versailles Saint-Quentin-en-Yvelines
9 :  NASA Langley Research Center
NASA
10 :  National Center for Atmospheric Research (NCAR)
The University Corporation for Atmospheric Research
11 :  NASA Ames Research Center (NASA - ARC)
NASA
12 :  Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre (DLR)
Deutsches Zentrum für Luft- und Raumfahrt
13 :  Laboratoire de Météorologie Dynamique (LMD)
CNRS : UMR8539 – INSU – Université Pierre et Marie Curie [UPMC] - Paris VI – Polytechnique - X – Ecole normale supérieure de Paris - ENS Paris
tact
Physique/Physique/Physique Atmosphérique et Océanique

Sciences de l'environnement/Milieux et Changements globaux