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Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load †.
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- Author(s): Chaikovsky, Anatoli; Bril, Andrey; Goloub, Philippe; Li, Zhengqiang; Peshcherenkov, Vladislav; Asipenka, Fiodar; Blarel, Luc; Dubois, Gael; Korol, Mikhail; Lapionak, Aliaksandr; Malinka, Aleksey; Miatselskaya, Natallia; Podvin, Thierry; Zhang, Ying
- Source:
Environmental Sciences Proceedings; 2023, Vol. 29, p70, 6p
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- Additional Information
- Abstract:
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). [ABSTRACT FROM AUTHOR]
- Abstract:
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