Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data
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 l...
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ftdoajarticles:oai:doaj.org/article:c46a4387e7d64a359e3bd6d1581a6010 2023-05-15T13:06:16+02:00 Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data V. Bovchaliuk P. Goloub T. Podvin I. Veselovskii D. Tanre A. Chaikovsky O. Dubovik A. Mortier A. Lopatin M. Korenskiy S. Victori 2016-07-01T00:00:00Z https://doi.org/10.5194/amt-9-3391-2016 https://doaj.org/article/c46a4387e7d64a359e3bd6d1581a6010 EN eng Copernicus Publications http://www.atmos-meas-tech.net/9/3391/2016/amt-9-3391-2016.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-9-3391-2016 https://doaj.org/article/c46a4387e7d64a359e3bd6d1581a6010 Atmospheric Measurement Techniques, Vol 9, Iss 7, Pp 3391-3405 (2016) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2016 ftdoajarticles https://doi.org/10.5194/amt-9-3391-2016 2022-12-30T21:22:31Z 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 Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 9 7 3391 3405 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 V. Bovchaliuk P. Goloub T. Podvin I. Veselovskii D. Tanre A. Chaikovsky O. Dubovik A. Mortier A. Lopatin M. Korenskiy S. Victori Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
V. Bovchaliuk P. Goloub T. Podvin I. Veselovskii D. Tanre A. Chaikovsky O. Dubovik A. Mortier A. Lopatin M. Korenskiy S. Victori |
author_facet |
V. Bovchaliuk P. Goloub T. Podvin I. Veselovskii D. Tanre A. Chaikovsky O. Dubovik A. Mortier A. Lopatin M. Korenskiy S. Victori |
author_sort |
V. Bovchaliuk |
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 |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/amt-9-3391-2016 https://doaj.org/article/c46a4387e7d64a359e3bd6d1581a6010 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 9, Iss 7, Pp 3391-3405 (2016) |
op_relation |
http://www.atmos-meas-tech.net/9/3391/2016/amt-9-3391-2016.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-9-3391-2016 https://doaj.org/article/c46a4387e7d64a359e3bd6d1581a6010 |
op_doi |
https://doi.org/10.5194/amt-9-3391-2016 |
container_title |
Atmospheric Measurement Techniques |
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9 |
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7 |
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3391 |
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3405 |
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1765998741792227328 |