Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species

International audience We describe a method of using the Aerosol Robotic Network (AERONET) size distributions and complex refractive indices to retrieve the relative proportion of carbonaceous aerosols and free iron minerals (hematite and goethite). We assume that soot carbon has a spectrally flat r...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Schuster, G. L., Dubovik, O., Arola, A.
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), ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://insu.hal.science/insu-03686216
https://insu.hal.science/insu-03686216/document
https://insu.hal.science/insu-03686216/file/acp-16-1565-2016.pdf
https://doi.org/10.5194/acp-16-1565-2016
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spelling ftanrparis:oai:HAL:insu-03686216v1 2024-06-23T07:45:00+00:00 Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species Schuster, G. L. Dubovik, O. Arola, A. 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) ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011) 2016 https://insu.hal.science/insu-03686216 https://insu.hal.science/insu-03686216/document https://insu.hal.science/insu-03686216/file/acp-16-1565-2016.pdf https://doi.org/10.5194/acp-16-1565-2016 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-16-1565-2016 insu-03686216 https://insu.hal.science/insu-03686216 https://insu.hal.science/insu-03686216/document https://insu.hal.science/insu-03686216/file/acp-16-1565-2016.pdf BIBCODE: 2016ACP.16.1565S doi:10.5194/acp-16-1565-2016 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://insu.hal.science/insu-03686216 Atmospheric Chemistry and Physics, 2016, 16, pp.1565-1585. ⟨10.5194/acp-16-1565-2016⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2016 ftanrparis https://doi.org/10.5194/acp-16-1565-2016 2024-06-05T23:53:20Z International audience We describe a method of using the Aerosol Robotic Network (AERONET) size distributions and complex refractive indices to retrieve the relative proportion of carbonaceous aerosols and free iron minerals (hematite and goethite). We assume that soot carbon has a spectrally flat refractive index and enhanced imaginary indices at the 440 nm wavelength are caused by brown carbon or hematite. Carbonaceous aerosols can be separated from dust in imaginary refractive index space because 95 % of biomass burning aerosols have imaginary indices greater than 0.0042 at the 675-1020 nm wavelengths, and 95 % of dust has imaginary refractive indices of less than 0.0042 at those wavelengths. However, mixtures of these two types of particles can not be unambiguously partitioned on the basis of optical properties alone, so we also separate these particles by size. Regional and seasonal results are consistent with expectations. Monthly climatologies of fine mode soot carbon are less than 1.0 % by volume for West Africa and the Middle East, but the southern African and South American biomass burning sites have peak values of 3.0 and 1.7 %. Monthly averaged fine mode brown carbon volume fractions have a peak value of 5.8 % for West Africa, 2.1 % for the Middle East, 3.7 % for southern Africa, and 5.7 % for South America. Monthly climatologies of free iron volume fractions show little seasonal variability, and range from about 1.1 to 1.7 % for coarse mode aerosols in all four study regions. Finally, our sensitivity study indicates that the soot carbon retrieval is not sensitive to the component refractive indices or densities assumed for carbonaceous and free iron aerosols, and the retrieval differs by only 15.4 % when these parameters are altered from our chosen baseline values. The total uncertainty of retrieving soot carbon mass is ∼ 50 % (when uncertainty in the AERONET product and mixing state is included in the analysis). Article in Journal/Newspaper Aerosol Robotic Network Portail HAL-ANR (Agence Nationale de la Recherche) Atmospheric Chemistry and Physics 16 3 1565 1585
institution Open Polar
collection Portail HAL-ANR (Agence Nationale de la Recherche)
op_collection_id ftanrparis
language English
topic [SDU]Sciences of the Universe [physics]
spellingShingle [SDU]Sciences of the Universe [physics]
Schuster, G. L.
Dubovik, O.
Arola, A.
Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
topic_facet [SDU]Sciences of the Universe [physics]
description International audience We describe a method of using the Aerosol Robotic Network (AERONET) size distributions and complex refractive indices to retrieve the relative proportion of carbonaceous aerosols and free iron minerals (hematite and goethite). We assume that soot carbon has a spectrally flat refractive index and enhanced imaginary indices at the 440 nm wavelength are caused by brown carbon or hematite. Carbonaceous aerosols can be separated from dust in imaginary refractive index space because 95 % of biomass burning aerosols have imaginary indices greater than 0.0042 at the 675-1020 nm wavelengths, and 95 % of dust has imaginary refractive indices of less than 0.0042 at those wavelengths. However, mixtures of these two types of particles can not be unambiguously partitioned on the basis of optical properties alone, so we also separate these particles by size. Regional and seasonal results are consistent with expectations. Monthly climatologies of fine mode soot carbon are less than 1.0 % by volume for West Africa and the Middle East, but the southern African and South American biomass burning sites have peak values of 3.0 and 1.7 %. Monthly averaged fine mode brown carbon volume fractions have a peak value of 5.8 % for West Africa, 2.1 % for the Middle East, 3.7 % for southern Africa, and 5.7 % for South America. Monthly climatologies of free iron volume fractions show little seasonal variability, and range from about 1.1 to 1.7 % for coarse mode aerosols in all four study regions. Finally, our sensitivity study indicates that the soot carbon retrieval is not sensitive to the component refractive indices or densities assumed for carbonaceous and free iron aerosols, and the retrieval differs by only 15.4 % when these parameters are altered from our chosen baseline values. The total uncertainty of retrieving soot carbon mass is ∼ 50 % (when uncertainty in the AERONET product and mixing state is included in the analysis).
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)
ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011)
format Article in Journal/Newspaper
author Schuster, G. L.
Dubovik, O.
Arola, A.
author_facet Schuster, G. L.
Dubovik, O.
Arola, A.
author_sort Schuster, G. L.
title Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
title_short Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
title_full Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
title_fullStr Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
title_full_unstemmed Remote sensing of soot carbon - Part 1: Distinguishing different absorbing aerosol species
title_sort remote sensing of soot carbon - part 1: distinguishing different absorbing aerosol species
publisher HAL CCSD
publishDate 2016
url https://insu.hal.science/insu-03686216
https://insu.hal.science/insu-03686216/document
https://insu.hal.science/insu-03686216/file/acp-16-1565-2016.pdf
https://doi.org/10.5194/acp-16-1565-2016
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source ISSN: 1680-7316
EISSN: 1680-7324
Atmospheric Chemistry and Physics
https://insu.hal.science/insu-03686216
Atmospheric Chemistry and Physics, 2016, 16, pp.1565-1585. ⟨10.5194/acp-16-1565-2016⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-16-1565-2016
insu-03686216
https://insu.hal.science/insu-03686216
https://insu.hal.science/insu-03686216/document
https://insu.hal.science/insu-03686216/file/acp-16-1565-2016.pdf
BIBCODE: 2016ACP.16.1565S
doi:10.5194/acp-16-1565-2016
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op_doi https://doi.org/10.5194/acp-16-1565-2016
container_title Atmospheric Chemistry and Physics
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