Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load
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 s...
Published in: | ECRS 2023 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2024
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Subjects: | |
Online Access: | https://doi.org/10.3390/ECRS2023-16860 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 |
Summary: | 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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