Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations

The radiative impact of organic aerosols (OA) is a large source of uncertainty in estimating the global direct radiative effect (DRE) of aerosols. This radiative impact includes not only light scattering but also light absorption from a subclass of OA referred to as brown carbon (BrC). However, the...

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Main Authors: Wang, Xuan, Heald, Colette L., Sedlacek, Arthur J., de Sá, Suzane S., Martin, Scot T., Alexander, M. Lizabeth, Watson, Thomas B., Aiken, Allison C., Springston, Stephen R., Artaxo, Paulo
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:en_US
Published: Copernicus GmbH 2017
Online Access:http://hdl.handle.net/1721.1/109989
https://orcid.org/0000-0002-8532-5773
https://orcid.org/0000-0003-2894-5738
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author Wang, Xuan
Heald, Colette L.
Sedlacek, Arthur J.
de Sá, Suzane S.
Martin, Scot T.
Alexander, M. Lizabeth
Watson, Thomas B.
Aiken, Allison C.
Springston, Stephen R.
Artaxo, Paulo
author2 Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
author_facet Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Wang, Xuan
Heald, Colette L.
Sedlacek, Arthur J.
de Sá, Suzane S.
Martin, Scot T.
Alexander, M. Lizabeth
Watson, Thomas B.
Aiken, Allison C.
Springston, Stephen R.
Artaxo, Paulo
author_sort Wang, Xuan
collection MIT
description The radiative impact of organic aerosols (OA) is a large source of uncertainty in estimating the global direct radiative effect (DRE) of aerosols. This radiative impact includes not only light scattering but also light absorption from a subclass of OA referred to as brown carbon (BrC). However, the absorption properties of BrC are poorly understood, leading to large uncertainties in modeling studies. To obtain observational constraints from measurements, a simple absorption Ångström exponent (AAE) method is often used to separate the contribution of BrC absorption from that of black carbon (BC). However, this attribution method is based on assumptions regarding the spectral dependence of BC that are often violated in the ambient atmosphere. Here we develop a new AAE method which improves upon previous approaches by using the information from the wavelength-dependent measurements themselves and by allowing for an atmospherically relevant range of BC properties, rather than fixing these at a single assumed value. We note that constraints on BC optical properties and mixing state would help further improve this method. We apply this method to multiwavelength absorption aerosol optical depth (AAOD) measurements at AERONET sites worldwide and surface aerosol absorption measurements at multiple ambient sites. We estimate that BrC globally contributes up to 40 % of the seasonally averaged absorption at 440 nm. We find that the mass absorption coefficient of OA (OA-MAC) is positively correlated with the BC ∕ OA mass ratio. Based on the variability in BC properties and BC ∕ OA emission ratio, we estimate a range of 0.05–1.5 m[superscript 2] g[superscript −1] for OA-MAC at 440 nm. Using the combination of AERONET and OMI UV absorption observations we estimate that the AAE388∕440 nm for BrC is generally  ∼ 4 worldwide, with a smaller value in Europe (< 2). Our analyses of observations at two surface sites (Cape Cod, to the southeast of Boston, and the GoAmazon2014/5 T3 site, to the west of Manaus, Brazil) reveal no significant relationship between BrC absorptivity and photochemical aging in urban-influenced conditions. However, the absorption of BrC measured during the biomass burning season near Manaus is found to decrease with photochemical aging with a lifetime of  ∼ 1 day. This lifetime is comparable to previous observations within a biomass burning plume but much slower than estimated from laboratory studies. Given the large uncertainties associated with AERONET retrievals of AAOD, the most challenging aspect of our analysis is that an accurate, globally distributed, multiple-wavelength aerosol absorption measurement dataset is unavailable at present. Thus, achieving a better understanding of the properties, evolution, and impacts of global BrC will rely on the future deployment of accurate multiple-wavelength absorption measurements to which AAE methods, such as the approach developed here, can be applied.
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spelling mit-1721.1/1099892022-10-01T11:54:09Z Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations Wang, Xuan Heald, Colette L. Sedlacek, Arthur J. de Sá, Suzane S. Martin, Scot T. Alexander, M. Lizabeth Watson, Thomas B. Aiken, Allison C. Springston, Stephen R. Artaxo, Paulo Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Wang, Xuan Heald, Colette L. The radiative impact of organic aerosols (OA) is a large source of uncertainty in estimating the global direct radiative effect (DRE) of aerosols. This radiative impact includes not only light scattering but also light absorption from a subclass of OA referred to as brown carbon (BrC). However, the absorption properties of BrC are poorly understood, leading to large uncertainties in modeling studies. To obtain observational constraints from measurements, a simple absorption Ångström exponent (AAE) method is often used to separate the contribution of BrC absorption from that of black carbon (BC). However, this attribution method is based on assumptions regarding the spectral dependence of BC that are often violated in the ambient atmosphere. Here we develop a new AAE method which improves upon previous approaches by using the information from the wavelength-dependent measurements themselves and by allowing for an atmospherically relevant range of BC properties, rather than fixing these at a single assumed value. We note that constraints on BC optical properties and mixing state would help further improve this method. We apply this method to multiwavelength absorption aerosol optical depth (AAOD) measurements at AERONET sites worldwide and surface aerosol absorption measurements at multiple ambient sites. We estimate that BrC globally contributes up to 40 % of the seasonally averaged absorption at 440 nm. We find that the mass absorption coefficient of OA (OA-MAC) is positively correlated with the BC ∕ OA mass ratio. Based on the variability in BC properties and BC ∕ OA emission ratio, we estimate a range of 0.05–1.5 m[superscript 2] g[superscript −1] for OA-MAC at 440 nm. Using the combination of AERONET and OMI UV absorption observations we estimate that the AAE388∕440 nm for BrC is generally  ∼ 4 worldwide, with a smaller value in Europe (< 2). Our analyses of observations at two surface sites (Cape Cod, to the southeast of Boston, and the GoAmazon2014/5 T3 site, to the west of Manaus, Brazil) reveal no significant relationship between BrC absorptivity and photochemical aging in urban-influenced conditions. However, the absorption of BrC measured during the biomass burning season near Manaus is found to decrease with photochemical aging with a lifetime of  ∼ 1 day. This lifetime is comparable to previous observations within a biomass burning plume but much slower than estimated from laboratory studies. Given the large uncertainties associated with AERONET retrievals of AAOD, the most challenging aspect of our analysis is that an accurate, globally distributed, multiple-wavelength aerosol absorption measurement dataset is unavailable at present. Thus, achieving a better understanding of the properties, evolution, and impacts of global BrC will rely on the future deployment of accurate multiple-wavelength absorption measurements to which AAE methods, such as the approach developed here, can be applied. United States. Environmental Protection Agency (grant/cooperative agreement RD-83503301) 2017-06-16T21:39:20Z 2017-06-16T21:39:20Z 2016-10 2016-09 Article http://purl.org/eprint/type/JournalArticle 1680-7324 1680-7316 http://hdl.handle.net/1721.1/109989 Wang, Xuan, Colette L. Heald, Arthur J. Sedlacek, Suzane S. de Sá, Scot T. Martin, M. Lizabeth Alexander, Thomas B. Watson, Allison C. Aiken, Stephen R. Springston, and Paulo Artaxo. “Deriving Brown Carbon from Multiwavelength Absorption Measurements: Method and Application to AERONET and Aethalometer Observations.” Atmospheric Chemistry and Physics 16, no. 19 (October 13, 2016): 12733–12752. https://orcid.org/0000-0002-8532-5773 https://orcid.org/0000-0003-2894-5738 en_US http://dx.doi.org/10.5194/acp-16-12733-2016 Atmospheric Chemistry and Physics Creative Commons Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ application/pdf Copernicus GmbH Copernicus Publications
spellingShingle Wang, Xuan
Heald, Colette L.
Sedlacek, Arthur J.
de Sá, Suzane S.
Martin, Scot T.
Alexander, M. Lizabeth
Watson, Thomas B.
Aiken, Allison C.
Springston, Stephen R.
Artaxo, Paulo
Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title_full Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title_fullStr Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title_full_unstemmed Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title_short Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations
title_sort deriving brown carbon from multiwavelength absorption measurements method and application to aeronet and aethalometer observations
url http://hdl.handle.net/1721.1/109989
https://orcid.org/0000-0002-8532-5773
https://orcid.org/0000-0003-2894-5738
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