Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data

International audience Aerosol particles are important and highly variable components of the terrestrial atmosphere, and they affect both air quality and climate. In order to evaluate their multiple impacts, the most important requirement is to precisely measure their characteristics. Remote sensing...

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Published in:Atmospheric Measurement Techniques
Main Authors: Bovchaliuk, Valentyn, Goloub, Philippe, Podvin, Thierry, Veselovskii, Igor, Tanre, Didier, Chaikovsky, Anatoli, Dubovik, Oleg, Mortier, Augustin, Lopatin, Anton, Korenskiy, Mikhail, Victori, Stephane
Other Authors: Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://hal-insu.archives-ouvertes.fr/insu-03686196
https://hal-insu.archives-ouvertes.fr/insu-03686196/document
https://hal-insu.archives-ouvertes.fr/insu-03686196/file/amt-9-3391-2016.pdf
https://doi.org/10.5194/amt-9-3391-2016
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spelling ftunivnantes:oai:HAL:insu-03686196v1 2023-05-15T13:06:20+02:00 Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data Bovchaliuk, Valentyn Goloub, Philippe Podvin, Thierry Veselovskii, Igor Tanre, Didier Chaikovsky, Anatoli Dubovik, Oleg Mortier, Augustin Lopatin, Anton Korenskiy, Mikhail Victori, Stephane Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) 2016 https://hal-insu.archives-ouvertes.fr/insu-03686196 https://hal-insu.archives-ouvertes.fr/insu-03686196/document https://hal-insu.archives-ouvertes.fr/insu-03686196/file/amt-9-3391-2016.pdf https://doi.org/10.5194/amt-9-3391-2016 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-9-3391-2016 insu-03686196 https://hal-insu.archives-ouvertes.fr/insu-03686196 https://hal-insu.archives-ouvertes.fr/insu-03686196/document https://hal-insu.archives-ouvertes.fr/insu-03686196/file/amt-9-3391-2016.pdf BIBCODE: 2016AMT.9.3391B doi:10.5194/amt-9-3391-2016 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal-insu.archives-ouvertes.fr/insu-03686196 Atmospheric Measurement Techniques, 2016, 9, pp.3391-3405. ⟨10.5194/amt-9-3391-2016⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2016 ftunivnantes https://doi.org/10.5194/amt-9-3391-2016 2022-12-07T00:36:58Z International audience Aerosol particles are important and highly variable components of the terrestrial atmosphere, and they affect both air quality and climate. In order to evaluate their multiple impacts, the most important requirement is to precisely measure their characteristics. Remote sensing technologies such as lidar (light detection and ranging) and sun/sky photometers are powerful tools for determining aerosol optical and microphysical properties. In our work, we applied several methods to joint or separate lidar and sun/sky-photometer data to retrieve aerosol properties. The Raman technique and inversion with regularization use only lidar data. The LIRIC (LIdar-Radiometer Inversion Code) and recently developed GARRLiC (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) inversion methods use joint lidar and sun/sky-photometer data. This paper presents a comparison and discussion of aerosol optical properties (extinction coefficient profiles and lidar ratios) and microphysical properties (volume concentrations, complex refractive index values, and effective radius values) retrieved using the aforementioned methods. The comparison showed inconsistencies in the retrieved lidar ratios. However, other aerosol properties were found to be generally in close agreement with the AERONET (AErosol RObotic NETwork) products. In future studies, more cases should be analysed in order to clearly define the peculiarities in our results. Article in Journal/Newspaper Aerosol Robotic Network Université de Nantes: HAL-UNIV-NANTES Atmospheric Measurement Techniques 9 7 3391 3405
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic [SDU]Sciences of the Universe [physics]
spellingShingle [SDU]Sciences of the Universe [physics]
Bovchaliuk, Valentyn
Goloub, Philippe
Podvin, Thierry
Veselovskii, Igor
Tanre, Didier
Chaikovsky, Anatoli
Dubovik, Oleg
Mortier, Augustin
Lopatin, Anton
Korenskiy, Mikhail
Victori, Stephane
Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
topic_facet [SDU]Sciences of the Universe [physics]
description International audience Aerosol particles are important and highly variable components of the terrestrial atmosphere, and they affect both air quality and climate. In order to evaluate their multiple impacts, the most important requirement is to precisely measure their characteristics. Remote sensing technologies such as lidar (light detection and ranging) and sun/sky photometers are powerful tools for determining aerosol optical and microphysical properties. In our work, we applied several methods to joint or separate lidar and sun/sky-photometer data to retrieve aerosol properties. The Raman technique and inversion with regularization use only lidar data. The LIRIC (LIdar-Radiometer Inversion Code) and recently developed GARRLiC (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) inversion methods use joint lidar and sun/sky-photometer data. This paper presents a comparison and discussion of aerosol optical properties (extinction coefficient profiles and lidar ratios) and microphysical properties (volume concentrations, complex refractive index values, and effective radius values) retrieved using the aforementioned methods. The comparison showed inconsistencies in the retrieved lidar ratios. However, other aerosol properties were found to be generally in close agreement with the AERONET (AErosol RObotic NETwork) products. In future studies, more cases should be analysed in order to clearly define the peculiarities in our results.
author2 Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA)
Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Bovchaliuk, Valentyn
Goloub, Philippe
Podvin, Thierry
Veselovskii, Igor
Tanre, Didier
Chaikovsky, Anatoli
Dubovik, Oleg
Mortier, Augustin
Lopatin, Anton
Korenskiy, Mikhail
Victori, Stephane
author_facet Bovchaliuk, Valentyn
Goloub, Philippe
Podvin, Thierry
Veselovskii, Igor
Tanre, Didier
Chaikovsky, Anatoli
Dubovik, Oleg
Mortier, Augustin
Lopatin, Anton
Korenskiy, Mikhail
Victori, Stephane
author_sort Bovchaliuk, Valentyn
title Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
title_short Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
title_full Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
title_fullStr Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
title_full_unstemmed Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
title_sort comparison of aerosol properties retrieved using garrlic, liric, and raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
publisher HAL CCSD
publishDate 2016
url https://hal-insu.archives-ouvertes.fr/insu-03686196
https://hal-insu.archives-ouvertes.fr/insu-03686196/document
https://hal-insu.archives-ouvertes.fr/insu-03686196/file/amt-9-3391-2016.pdf
https://doi.org/10.5194/amt-9-3391-2016
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source ISSN: 1867-1381
EISSN: 1867-8548
Atmospheric Measurement Techniques
https://hal-insu.archives-ouvertes.fr/insu-03686196
Atmospheric Measurement Techniques, 2016, 9, pp.3391-3405. ⟨10.5194/amt-9-3391-2016⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-9-3391-2016
insu-03686196
https://hal-insu.archives-ouvertes.fr/insu-03686196
https://hal-insu.archives-ouvertes.fr/insu-03686196/document
https://hal-insu.archives-ouvertes.fr/insu-03686196/file/amt-9-3391-2016.pdf
BIBCODE: 2016AMT.9.3391B
doi:10.5194/amt-9-3391-2016
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/amt-9-3391-2016
container_title Atmospheric Measurement Techniques
container_volume 9
container_issue 7
container_start_page 3391
op_container_end_page 3405
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