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...
Published in: | Atmospheric Measurement Techniques |
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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 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
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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 |
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Atmospheric Measurement Techniques |
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9 |
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