Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products

Climate change assessment, especially model evaluation, requires a better understanding of complex refractive indices (CRIs) of atmospheric aerosols – separately for both fine and coarse modes. However, the widely used aerosol CRI obtained by the global Aerosol Robotic Network (AERONET) corresponds...

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Published in:Atmospheric Measurement Techniques
Main Authors: Zhang, Ying, Li, Zhengqiang, Zhang, Yuhuan, Li, Donghui, Qie, Lili, Che, Huizheng, Xu, Hua
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
Online Access:https://doi.org/10.5194/amt-10-3203-2017
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00009099 2023-05-15T13:06:23+02:00 Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products Zhang, Ying Li, Zhengqiang Zhang, Yuhuan Li, Donghui Qie, Lili Che, Huizheng Xu, Hua 2017-09 electronic https://doi.org/10.5194/amt-10-3203-2017 https://noa.gwlb.de/receive/cop_mods_00009099 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00009056/amt-10-3203-2017.pdf https://amt.copernicus.org/articles/10/3203/2017/amt-10-3203-2017.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-10-3203-2017 https://noa.gwlb.de/receive/cop_mods_00009099 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00009056/amt-10-3203-2017.pdf https://amt.copernicus.org/articles/10/3203/2017/amt-10-3203-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/amt-10-3203-2017 2022-02-08T22:57:42Z Climate change assessment, especially model evaluation, requires a better understanding of complex refractive indices (CRIs) of atmospheric aerosols – separately for both fine and coarse modes. However, the widely used aerosol CRI obtained by the global Aerosol Robotic Network (AERONET) corresponds to total-column aerosol particles without separation for fine and coarse modes. This paper establishes a method to separate CRIs of fine and coarse particles based on AERONET volume particle size distribution (VPSD), aerosol optical depth (AOD) and absorbing AOD (AAOD). The method consists of two steps. First a multimodal log-normal distribution that best approximates the AERONET VPSD is found. Then the fine and coarse mode CRIs are found by iterative fitting of AERONET AODs to Mie calculations. The numerical experiment shows good performance for typical water-soluble, biomass burning and dust aerosol types, and the estimated uncertainties on the retrieved sub-mode CRIs are about 0.11 (real part) and 78 % (imaginary part). The 1-year measurements at the AERONET Beijing site are processed, and we obtain CRIs of 1.48–0.010i (imaginary part at 440 nm is 0.012) for fine mode particles and 1.49–0.004i (imaginary part at 440 nm is 0.007) for coarse mode particles, for the period of 2014–2015. Our results also suggest that both fine and coarse aerosol mode CRIs have distinct seasonal characteristics; in particular, CRIs of fine particles in winter season are significantly higher than summer due to possible anthropogenic influences. Article in Journal/Newspaper Aerosol Robotic Network Cris Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 10 9 3203 3213
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Zhang, Ying
Li, Zhengqiang
Zhang, Yuhuan
Li, Donghui
Qie, Lili
Che, Huizheng
Xu, Hua
Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
topic_facet article
Verlagsveröffentlichung
description Climate change assessment, especially model evaluation, requires a better understanding of complex refractive indices (CRIs) of atmospheric aerosols – separately for both fine and coarse modes. However, the widely used aerosol CRI obtained by the global Aerosol Robotic Network (AERONET) corresponds to total-column aerosol particles without separation for fine and coarse modes. This paper establishes a method to separate CRIs of fine and coarse particles based on AERONET volume particle size distribution (VPSD), aerosol optical depth (AOD) and absorbing AOD (AAOD). The method consists of two steps. First a multimodal log-normal distribution that best approximates the AERONET VPSD is found. Then the fine and coarse mode CRIs are found by iterative fitting of AERONET AODs to Mie calculations. The numerical experiment shows good performance for typical water-soluble, biomass burning and dust aerosol types, and the estimated uncertainties on the retrieved sub-mode CRIs are about 0.11 (real part) and 78 % (imaginary part). The 1-year measurements at the AERONET Beijing site are processed, and we obtain CRIs of 1.48–0.010i (imaginary part at 440 nm is 0.012) for fine mode particles and 1.49–0.004i (imaginary part at 440 nm is 0.007) for coarse mode particles, for the period of 2014–2015. Our results also suggest that both fine and coarse aerosol mode CRIs have distinct seasonal characteristics; in particular, CRIs of fine particles in winter season are significantly higher than summer due to possible anthropogenic influences.
format Article in Journal/Newspaper
author Zhang, Ying
Li, Zhengqiang
Zhang, Yuhuan
Li, Donghui
Qie, Lili
Che, Huizheng
Xu, Hua
author_facet Zhang, Ying
Li, Zhengqiang
Zhang, Yuhuan
Li, Donghui
Qie, Lili
Che, Huizheng
Xu, Hua
author_sort Zhang, Ying
title Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
title_short Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
title_full Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
title_fullStr Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
title_full_unstemmed Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
title_sort estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on aeronet remote sensing products
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/amt-10-3203-2017
https://noa.gwlb.de/receive/cop_mods_00009099
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00009056/amt-10-3203-2017.pdf
https://amt.copernicus.org/articles/10/3203/2017/amt-10-3203-2017.pdf
genre Aerosol Robotic Network
Cris
genre_facet Aerosol Robotic Network
Cris
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-10-3203-2017
https://noa.gwlb.de/receive/cop_mods_00009099
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00009056/amt-10-3203-2017.pdf
https://amt.copernicus.org/articles/10/3203/2017/amt-10-3203-2017.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/amt-10-3203-2017
container_title Atmospheric Measurement Techniques
container_volume 10
container_issue 9
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