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...

Full description

Bibliographic Details
Published in:ECRS 2023
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2024
Subjects:
Online Access:https://doi.org/10.3390/ECRS2023-16860
https://doaj.org/article/8b56d1f838944e7b8f8e3b83398cc688
id ftdoajarticles:oai:doaj.org/article:8b56d1f838944e7b8f8e3b83398cc688
record_format openpolar
spelling 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