Assessment of vertically-resolved PM<sub>10</sub> from mobile lidar observations
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.