Atmospheric Chemistry and Physics www.atmos-chem-phys.net 1680-7316 1680-7324 9 21 2009 10.5194/acp-9-8617-2009 http://www.atmos-chem-phys.net/9/8617/2009/ http://www.atmos-chem-phys.net/9/8617/2009/acp-9-8617-2009.html http://www.atmos-chem-phys.net/9/8617/2009/acp-9-8617-2009.pdf 8617 8638 2009-11-12 Assessment of vertically-resolved PM₁₀ from mobile lidar observations J.-C. Raut jean-christophe.raut@latmos.ipsl.fr P. Chazette Laboratoire de Météorologie Dynamique, Ecole Polytechnique, 91128 Palaiseau, France Laboratoire des Sciences du Climat et de l'Environnement, Laboratoire mixte CEA-CNRS-UVSQ, CEA Saclay, 91191 Gif-sur-Yvette, France now at: Laboratoire Atmosphères, Milieux et Observations Spatiales, Laboratoire mixte CNRS-UVSQ-UPMC, Université Paris 6, 75252 Paris, France We investigate in this study the vertical PM₁₀ distributions from mobile measurements carried out from locations along the Paris Peripherique (highly trafficked beltway around Paris), examine distinctions in terms of aerosol concentrations between the outlying regions of Paris and the inner city and eventually discuss the influence of aerosol sources, meteorology, and dynamics on the retrieved PM₁₀ distributions. To achieve these purposes, 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 relative uncertainty lower than 12% for urban (4.5 m² g^−1) and periurban (5.9 m² g^−1) aersols, lower than 26% for rural (7.1 m² g^−1) aerosols, biomass burning (2.6 m² g^−1) and dust (1.1 m² g^−1) 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 trapping 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 (rms) between lidar-derived PM₁₀ at 200 m above ground and surface network stations measurements was ~14μg m^−3. 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