Atmos. Chem. Phys. Discuss., 13, 27115-27161, 2013
www.atmos-chem-phys-discuss.net/13/27115/2013/
doi:10.5194/acpd-13-27115-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign
Y. Wang1,2, K. N. Sartelet1, M. Bocquet1,3, and P. Chazette2
1CEREA, joint laboratory École des Ponts ParisTech – EDF R& D, Université Paris-Est, 77455 Champs-sur-Marne, France
2LSCE, joint laboratory CEA-CNRS, UMR8212, 91191 Gif-sur-Yvette, France
3INRIA, Paris-Rocquencourt Research Center, Le Chesnay, France

Abstract. In this study, we investigate the ability of the chemistry transport model (CTM) Polair3D of the air quality modelling platform Polyphemus of simulating lidar backscattered profiles from model aerosol concentration outputs. To do so, simulated lidar signals are compared to hourly lidar observations performed during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation) summer experiment in July 2009, where a ground-based mobile lidar was deployed around Paris on-board a van. The comparison is performed for six different measurement days, 1, 4, 16, 21, 26 and 29 July 2009, corresponding to different levels of pollution and different atmospheric conditions. Polyphemus correctly reproduces the vertical distribution of aerosol optical properties and their temporal variability. In the second part of this study, two new algorithms for assimilating lidar observations are presented. The aerosol simulations without and with lidar data assimilation are evaluated using the Airparif (a regional operational network in charge of air quality survey around the Paris area) database to demonstrate the feasibility and the usefulness of assimilating lidar profiles for aerosol forecasts.

Citation: Wang, Y., Sartelet, K. N., Bocquet, M., and Chazette, P.: Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign, Atmos. Chem. Phys. Discuss., 13, 27115-27161, doi:10.5194/acpd-13-27115-2013, 2013.
 
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