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      Optical and microphysical characterization of aerosol layers over South Africa by means of multi-wavelength depolarization and Raman lidar measurements

      , , , ,
      Atmospheric Chemistry and Physics
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> Optical and microphysical properties of different aerosol types over South Africa measured with a multi-wavelength polarization Raman lidar are presented. This study could assist in bridging existing gaps relating to aerosol properties over South Africa, since limited long-term data of this type are available for this region. The observations were performed under the framework of the EUCAARI campaign in Elandsfontein. The multi-wavelength Polly<sup>XT</sup> Raman lidar system was used to determine vertical profiles of the aerosol optical properties, i.e. extinction and backscatter coefficients, Ångström exponents, lidar ratio and depolarization ratio. The mean microphysical aerosol properties, i.e. effective radius and single-scattering albedo, were retrieved with an advanced inversion algorithm. Clear differences were observed for the intensive optical properties of atmospheric layers of biomass burning and urban/industrial aerosols. Our results reveal a wide range of optical and microphysical parameters for biomass burning aerosols. This indicates probable mixing of biomass burning aerosols with desert dust particles, as well as the possible continuous influence of urban/industrial aerosol load in the region. The lidar ratio at 355<span class="thinspace"></span>nm, the lidar ratio at 532<span class="thinspace"></span>nm, the linear particle depolarization ratio at 355<span class="thinspace"></span>nm and the extinction-related Ångström exponent from 355 to 532<span class="thinspace"></span>nm were 52<span class="thinspace"></span>±<span class="thinspace"></span>7<span class="thinspace"></span>sr, 41<span class="thinspace"></span>±<span class="thinspace"></span>13<span class="thinspace"></span>sr, 0.9<span class="thinspace"></span>±<span class="thinspace"></span>0.4<span class="thinspace"></span>% and 2.3<span class="thinspace"></span>±<span class="thinspace"></span>0.5, respectively, for urban/industrial aerosols, while these values were 92<span class="thinspace"></span>±<span class="thinspace"></span>10<span class="thinspace"></span>sr, 75<span class="thinspace"></span>±<span class="thinspace"></span>14<span class="thinspace"></span>sr, 3.2<span class="thinspace"></span>±<span class="thinspace"></span>1.3<span class="thinspace"></span>% and 1.7<span class="thinspace"></span>±<span class="thinspace"></span>0.3, respectively, for biomass burning aerosol layers. Biomass burning particles are larger and slightly less absorbing compared to urban/industrial aerosols. The particle effective radius were found to be 0.10<span class="thinspace"></span>±<span class="thinspace"></span>0.03, 0.17<span class="thinspace"></span>±<span class="thinspace"></span>0.04 and 0.13<span class="thinspace"></span>±<span class="thinspace"></span>0.03<span class="thinspace"></span>µm for urban/industrial, biomass burning, and mixed aerosols, respectively, while the single-scattering albedo at 532<span class="thinspace"></span>nm was 0.87<span class="thinspace"></span>±<span class="thinspace"></span>0.06, 0.90<span class="thinspace"></span>±<span class="thinspace"></span>0.06, and 0.88<span class="thinspace"></span>±<span class="thinspace"></span>0.07 (at 532<span class="thinspace"></span>nm), respectively, for these three types of aerosols. Our results were within the same range of previously reported values.</p>

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            The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

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                Author and article information

                Journal
                Atmospheric Chemistry and Physics
                Atmos. Chem. Phys.
                Copernicus GmbH
                1680-7324
                2016
                July 05 2016
                : 16
                : 13
                : 8109-8123
                Article
                10.5194/acp-16-8109-2016
                79afb050-193f-4115-8fe5-54567fdb066b
                © 2016

                https://creativecommons.org/licenses/by/3.0/

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