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...
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Online Access: | https://doi.org/10.3390/ECRS2023-16860 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 |
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ftdoajarticles:oai:doaj.org/article:8b56d1f838944e7b8f8e3b83398cc688 2024-09-15T17:48:18+00:00 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 2024-06-01T00:00:00Z https://doi.org/10.3390/ECRS2023-16860 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 EN eng MDPI AG https://www.mdpi.com/2673-4931/29/1/70 https://doaj.org/toc/2673-4931 doi:10.3390/ECRS2023-16860 2673-4931 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 Environmental Sciences Proceedings, Vol 29, Iss 1, p 70 (2024) combined lidar and radiometer sounding aerosol CALIOP AERONET SONET Environmental sciences GE1-350 article 2024 ftdoajarticles https://doi.org/10.3390/ECRS2023-16860 2024-08-05T17:49:06Z 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). Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles ECRS 2023 70 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
combined lidar and radiometer sounding aerosol CALIOP AERONET SONET Environmental sciences GE1-350 |
spellingShingle |
combined lidar and radiometer sounding aerosol CALIOP AERONET SONET Environmental sciences GE1-350 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 Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
topic_facet |
combined lidar and radiometer sounding aerosol CALIOP AERONET SONET Environmental sciences GE1-350 |
description |
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). |
format |
Article in Journal/Newspaper |
author |
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 |
author_facet |
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 |
author_sort |
Anatoli Chaikovsky |
title |
Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
title_short |
Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
title_full |
Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
title_fullStr |
Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
title_full_unstemmed |
Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load |
title_sort |
synergy of caliop and ground-based solar radiometer data to study statistical characteristics of aerosols in regions with a low aerosol load |
publisher |
MDPI AG |
publishDate |
2024 |
url |
https://doi.org/10.3390/ECRS2023-16860 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Environmental Sciences Proceedings, Vol 29, Iss 1, p 70 (2024) |
op_relation |
https://www.mdpi.com/2673-4931/29/1/70 https://doaj.org/toc/2673-4931 doi:10.3390/ECRS2023-16860 2673-4931 https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688 |
op_doi |
https://doi.org/10.3390/ECRS2023-16860 |
container_title |
ECRS 2023 |
container_start_page |
70 |
_version_ |
1810289451735187456 |