Validation of LIRIC aerosol concentration retrievals using airborne measurements during a biomass burning episode over Athens

Panagiotis Kokkalis, Vassilis Amiridis, James D. Allan, Alexandros Papayannis, Stavros Solomos, Ioannis Binietoglou, Aikaterini Bougiatioti, Alexandra Tsekeri, Athanasios Nenes, Philip D. Rosenberg, Franco Marenco, Eleni Marinou, Jeni Vasilescu, Doina Nicolae, Hugh Coe, Asan Bacak, Anatoli Chaikovsky

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    Abstract

    In this paper we validate the Lidar-Radiometer Inversion Code (LIRIC) retrievals of the aerosol concentration in the fine mode, using the airborne aerosol chemical composition dataset obtained over the Greater Athens Area (GAA) in Greece, during the ACEMED campaign. The study focuses on the 2nd of September 2011, when a long-range transported smoke layer was observed in the free troposphere over Greece, in the height range from 2 to 3 km. CIMEL sun-photometric measurements revealed high AOD (~ 0.4 at 532 nm) and Ångström exponent values (~ 1.7 at 440/870 nm), in agreement with coincident ground-based lidar observations. Airborne chemical composition measurements performed over the GAA, revealed increased CO volume concentration (~ 110 ppbv), with 57% sulphate dominance in the PM1 fraction. For this case, we compare LIRIC retrievals of the aerosol concentration in the fine mode with the airborne Aerosol Mass Spectrometer (AMS) and Passive Cavity Aerosol Spectrometer Probe (PCASP) measurements. Our analysis shows that the remote sensing retrievals are in a good agreement with the measured airborne in-situ data from 2 to 4 km. The discrepancies observed between LIRIC and airborne measurements at the lower troposphere (below 2 km), could be explained by the spatial and temporal variability of the aerosol load within the area where the airborne data were averaged along with the different time windows of the retrievals.

    Original languageEnglish
    Pages (from-to)255-267
    Number of pages13
    JournalAtmospheric Research
    Volume183
    Early online date9 Sept 2016
    DOIs
    Publication statusPublished - 1 Jan 2017

    Keywords

    • Airborne measurements
    • Inversion
    • Lidar

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