Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations

Multi-wavelength depolarization Raman lidar measurements from Magurele, Romania are used in this study along with simulated mass-extinction efficiencies to calculate the mass concentration profiles of different atmospheric components, due to their different depolarization contribution to the 532 nm...

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Main Authors: A. Nemuc, J. Vasilescu, C. Talianu, L. Belegante, D. Nicolae
Format: Article
Language:English
Published: Copernicus Publications 2013-11-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/6/3243/2013/amt-6-3243-2013.pdf
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spelling doaj-e73b3b6deb5d4c08bca241082600031f2020-11-24T23:47:14ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482013-11-016113243325510.5194/amt-6-3243-2013Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulationsA. Nemuc0J. Vasilescu1C. Talianu2L. Belegante3D. Nicolae4National Institute of R&D for Optoelectronics, Magurele, Ilfov, RomaniaNational Institute of R&D for Optoelectronics, Magurele, Ilfov, RomaniaNational Institute of R&D for Optoelectronics, Magurele, Ilfov, RomaniaNational Institute of R&D for Optoelectronics, Magurele, Ilfov, RomaniaNational Institute of R&D for Optoelectronics, Magurele, Ilfov, RomaniaMulti-wavelength depolarization Raman lidar measurements from Magurele, Romania are used in this study along with simulated mass-extinction efficiencies to calculate the mass concentration profiles of different atmospheric components, due to their different depolarization contribution to the 532 nm backscatter coefficient. Linear particle depolarization ratio (&delta;<sup>part</sup>) was computed using the relative amplification factor and the system-dependent molecular depolarization. The low depolarizing component was considered as urban/smoke, with a mean &delta;<sup>part</sup> of 3%, while for the high depolarizing component (mineral dust) a mean &delta;<sup>part</sup> of 35% was assumed. <br><br> For this study 11 months of lidar measurements were analysed. Two study cases are presented in details: one for a typical Saharan dust aerosol intrusion, 10 June 2012 and one for 12 July 2012 when a lofted layer consisting of biomass burning smoke extended from 3 to 4.5 km height. <br><br> Optical Properties of Aerosols and Clouds software package (OPAC) classification and conversion factors were used to calculate mass concentrations. We found that calibrated depolarization measurements are critical in distinguishing between smoke-reach aerosol during the winter and dust-reach aerosol during the summer, as well as between elevated aerosol layers having different origins. Good agreement was found between lidar retrievals and DREAM- Dust REgional Atmospheric Model forecasts in cases of Saharan dust. Our method was also compared against LIRIC (The Lidar/Radiometer Inversion Code) and very small differences were observed.http://www.atmos-meas-tech.net/6/3243/2013/amt-6-3243-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Nemuc
J. Vasilescu
C. Talianu
L. Belegante
D. Nicolae
spellingShingle A. Nemuc
J. Vasilescu
C. Talianu
L. Belegante
D. Nicolae
Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
Atmospheric Measurement Techniques
author_facet A. Nemuc
J. Vasilescu
C. Talianu
L. Belegante
D. Nicolae
author_sort A. Nemuc
title Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
title_short Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
title_full Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
title_fullStr Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
title_full_unstemmed Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
title_sort assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2013-11-01
description Multi-wavelength depolarization Raman lidar measurements from Magurele, Romania are used in this study along with simulated mass-extinction efficiencies to calculate the mass concentration profiles of different atmospheric components, due to their different depolarization contribution to the 532 nm backscatter coefficient. Linear particle depolarization ratio (&delta;<sup>part</sup>) was computed using the relative amplification factor and the system-dependent molecular depolarization. The low depolarizing component was considered as urban/smoke, with a mean &delta;<sup>part</sup> of 3%, while for the high depolarizing component (mineral dust) a mean &delta;<sup>part</sup> of 35% was assumed. <br><br> For this study 11 months of lidar measurements were analysed. Two study cases are presented in details: one for a typical Saharan dust aerosol intrusion, 10 June 2012 and one for 12 July 2012 when a lofted layer consisting of biomass burning smoke extended from 3 to 4.5 km height. <br><br> Optical Properties of Aerosols and Clouds software package (OPAC) classification and conversion factors were used to calculate mass concentrations. We found that calibrated depolarization measurements are critical in distinguishing between smoke-reach aerosol during the winter and dust-reach aerosol during the summer, as well as between elevated aerosol layers having different origins. Good agreement was found between lidar retrievals and DREAM- Dust REgional Atmospheric Model forecasts in cases of Saharan dust. Our method was also compared against LIRIC (The Lidar/Radiometer Inversion Code) and very small differences were observed.
url http://www.atmos-meas-tech.net/6/3243/2013/amt-6-3243-2013.pdf
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