Environmental Sciences Proceedings (Jun 2024)

Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load

  • Anatoli Chaikovsky,
  • Andrey Bril,
  • Philippe Goloub,
  • Zhengqiang Li,
  • Vladislav Peshcherenkov,
  • Fiodar Asipenka,
  • Luc Blarel,
  • Gael Dubois,
  • Mikhail Korol,
  • Aliaksandr Lapionak,
  • Aleksey Malinka,
  • Natallia Miatselskaya,
  • Thierry Podvin,
  • Ying Zhang

DOI
https://doi.org/10.3390/ECRS2023-16860
Journal volume & issue
Vol. 29, no. 1
p. 70

Abstract

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The statistical characteristics of combined lidar and radiometric measurements obtained from satellite lidar CALIOP and ground-based sun-radiometer stations were used as input datasets to retrieve the altitude profiles of aerosol parameters (LRS-C technique). The signal-to-noise ratio of the input satellite lidar signals increased when averaging over a large array of measured data. An algorithm and software package for processing the input dataset of the LRS-C sounding of atmospheric aerosol in regions with medium and low aerosol loads was developed. This paper presents the results of studying long-term changes in the concentration profiles of aerosol modes in regions of East Europe (AERONET site Minsk, 53.92° N, 27.60° E) and East Antarctic (AERONET site Vechernaya Hill, 67.66° S, 46.16° E).

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