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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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 |
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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 |
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Atmospheric Measurement Techniques |
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10 |
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9 |
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3203 |
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3213 |
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1766003118813741056 |