Atmos. Chem. Phys. Discuss., 9, 13475-13521, 2009
www.atmos-chem-phys-discuss.net/9/13475/2009/
doi:10.5194/acpd-9-13475-2009
© Author(s) 2009. 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.
Assessment of vertically-resolved PM10 from mobile lidar observations
J.-C. Raut1 and P. Chazette2
1Laboratoire de Météorologie Dynamique, Ecole Polytechnique, 91128 Palaiseau, France
2Laboratoire des Sciences du Climat et de l'Environnement, Laboratoire mixte CEA-CNRS-UVSQ, CEA Saclay, 91191 Gif-sur-Yvette, France

Abstract. We investigate in this study the role of the Paris Peripherique (the ring around Paris agglomeration) in local particulate pollution and the horizontal gradient of pollution between Paris centre and its remote suburbs. For this purpose, we combine in situ surface measurements with active remote sensing observations obtained from a great number of research programs in Paris area since 1999. Two approaches, devoted to the conversion of vertical profiles of lidar-derived extinction coefficients into PM10, have been set up. A very good agreement is found between the theoretical and empirical methods with a discrepancy of 3%. Hence, specific extinction cross-sections at 355 nm are provided with a reasonable uncertainty for urban (4.5 m2/g), periurban (5.9 m2/g), rural (7.1 m2/g), biomass burning (2.6 m2/g) and dust (1.1 m2/g) aerosols. The high spatial and temporal resolutions of the mobile lidar (respectively 1.5 m and 1 min) enable to follow the spatiotemporal variability of various layers carrying aerosols in the troposphere. Appropriate specific extinction cross-sections are applied in each layer detected in the vertical heterogeneities from the lidar profiles. The standard deviation between lidar-derived PM10 at 200 m above ground and surface network stations measurements was ~14 μg m−3. This difference is particularly ascribed to a decorrelation of mass concentrations in the first meters of the boundary layer, as highlighted through multiangular lidar observations. Lidar signals can be used to follow mass concentrations at the surface and provide useful information on PM10 peak forecasting that affect air quality.

Citation: Raut, J.-C. and Chazette, P.: Assessment of vertically-resolved PM10 from mobile lidar observations, Atmos. Chem. Phys. Discuss., 9, 13475-13521, doi:10.5194/acpd-9-13475-2009, 2009.
 
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