Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations

Light-absorbing organic matter, known as brown carbon (BrC), has previously been found to significantly enhance the absorption of solar radiation by biomass burning (BB) aerosol. Previous studies have also proposed methods aimed at constraining the BrC contribution to the overall aerosol absorption...

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Published in:Atmospheric Measurement Techniques
Main Authors: I. B. Konovalov, N. A. Golovushkin, M. Beekmann, M. V. Panchenko, M. O. Andreae
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://doi.org/10.5194/amt-14-6647-2021
https://doaj.org/article/a0ebcc0169af4f148bdc905f47331f6b
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author I. B. Konovalov
N. A. Golovushkin
M. Beekmann
M. V. Panchenko
M. O. Andreae
author_facet I. B. Konovalov
N. A. Golovushkin
M. Beekmann
M. V. Panchenko
M. O. Andreae
author_sort I. B. Konovalov
collection Directory of Open Access Journals: DOAJ Articles
container_issue 10
container_start_page 6647
container_title Atmospheric Measurement Techniques
container_volume 14
description Light-absorbing organic matter, known as brown carbon (BrC), has previously been found to significantly enhance the absorption of solar radiation by biomass burning (BB) aerosol. Previous studies have also proposed methods aimed at constraining the BrC contribution to the overall aerosol absorption using the absorption Ångström exponents (AAEs) derived from the multi-wavelength remote observations at Aerosol Robotic Network (AERONET). However, representations of the BrC absorption in atmospheric models remain uncertain, particularly due to the high variability in the absorption properties of BB organic aerosol (OA). As a result, there is a need for stronger observational constraints on these properties. We extend the concept of the established AAE-based methods in the framework of our Bayesian method, which combines remote optical observations with Monte Carlo simulations of the aerosol absorption properties. We propose that the observational constraints on the absorption properties of BB OA can be enhanced by using the single-scattering albedo (SSA) as part of the observation vector. The capabilities of our method were first examined by using synthetic data, which were intended to represent the absorption properties of BB aerosol originating from wildfires in Siberia. We found that observations of AAEs and SSA can provide efficient constraints not only on the BrC contribution to the total absorption but also on both the imaginary part of the refractive index and the mass absorption efficiency of OA. The subsequent application of our method to the original multi-annual data from Siberian AERONET sites, along with the supplementary analysis of possible biases in the a posteriori estimates of the inferred absorption properties, indicates that the contribution of BrC to the overall light absorption by BB aerosol in Siberia at the 440 nm wavelength is most likely to range, on average, from about 15 % to 21 %, although it is highly variable and, in some cases, can exceed 40 %. Based on the analysis of the AERONET ...
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spelling ftdoajarticles:oai:doaj.org/article:a0ebcc0169af4f148bdc905f47331f6b 2025-01-16T18:38:51+00:00 Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations I. B. Konovalov N. A. Golovushkin M. Beekmann M. V. Panchenko M. O. Andreae 2021-10-01T00:00:00Z https://doi.org/10.5194/amt-14-6647-2021 https://doaj.org/article/a0ebcc0169af4f148bdc905f47331f6b EN eng Copernicus Publications https://amt.copernicus.org/articles/14/6647/2021/amt-14-6647-2021.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-14-6647-2021 1867-1381 1867-8548 https://doaj.org/article/a0ebcc0169af4f148bdc905f47331f6b Atmospheric Measurement Techniques, Vol 14, Pp 6647-6673 (2021) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2021 ftdoajarticles https://doi.org/10.5194/amt-14-6647-2021 2022-12-31T05:52:22Z Light-absorbing organic matter, known as brown carbon (BrC), has previously been found to significantly enhance the absorption of solar radiation by biomass burning (BB) aerosol. Previous studies have also proposed methods aimed at constraining the BrC contribution to the overall aerosol absorption using the absorption Ångström exponents (AAEs) derived from the multi-wavelength remote observations at Aerosol Robotic Network (AERONET). However, representations of the BrC absorption in atmospheric models remain uncertain, particularly due to the high variability in the absorption properties of BB organic aerosol (OA). As a result, there is a need for stronger observational constraints on these properties. We extend the concept of the established AAE-based methods in the framework of our Bayesian method, which combines remote optical observations with Monte Carlo simulations of the aerosol absorption properties. We propose that the observational constraints on the absorption properties of BB OA can be enhanced by using the single-scattering albedo (SSA) as part of the observation vector. The capabilities of our method were first examined by using synthetic data, which were intended to represent the absorption properties of BB aerosol originating from wildfires in Siberia. We found that observations of AAEs and SSA can provide efficient constraints not only on the BrC contribution to the total absorption but also on both the imaginary part of the refractive index and the mass absorption efficiency of OA. The subsequent application of our method to the original multi-annual data from Siberian AERONET sites, along with the supplementary analysis of possible biases in the a posteriori estimates of the inferred absorption properties, indicates that the contribution of BrC to the overall light absorption by BB aerosol in Siberia at the 440 nm wavelength is most likely to range, on average, from about 15 % to 21 %, although it is highly variable and, in some cases, can exceed 40 %. Based on the analysis of the AERONET ... Article in Journal/Newspaper Aerosol Robotic Network Siberia Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 14 10 6647 6673
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
I. B. Konovalov
N. A. Golovushkin
M. Beekmann
M. V. Panchenko
M. O. Andreae
Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title_full Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title_fullStr Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title_full_unstemmed Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title_short Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations
title_sort inferring the absorption properties of organic aerosol in siberian biomass burning plumes from remote optical observations
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
url https://doi.org/10.5194/amt-14-6647-2021
https://doaj.org/article/a0ebcc0169af4f148bdc905f47331f6b