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) correspon...
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doaj-b9ceb5444a774b5fb830325ac94e68492020-11-25T00:36:54ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482017-09-01103203321310.5194/amt-10-3203-2017Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing productsY. Zhang0Z. Li1Y. Zhang2D. Li3L. Qie4H. Che5H. Xu6State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaSatellite Environment Center, Ministry of Environmental Protection, Beijing 100094, ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaChinese Academy of Meteorological Sciences, Chinese Meteorological Administration, Beijing 100081, ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaClimate 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 1.48–0.010<i>i</i> (imaginary part at 440 nm is 0.012) for fine mode particles and 1.49–0.004<i>i</i> (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.https://www.atmos-meas-tech.net/10/3203/2017/amt-10-3203-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. Zhang Z. Li Y. Zhang D. Li L. Qie H. Che H. Xu |
spellingShingle |
Y. Zhang Z. Li Y. Zhang D. Li L. Qie H. Che H. Xu Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products Atmospheric Measurement Techniques |
author_facet |
Y. Zhang Z. Li Y. Zhang D. Li L. Qie H. Che H. Xu |
author_sort |
Y. Zhang |
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 |
series |
Atmospheric Measurement Techniques |
issn |
1867-1381 1867-8548 |
publishDate |
2017-09-01 |
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
1.48–0.010<i>i</i> (imaginary part at 440 nm is 0.012) for fine mode particles
and 1.49–0.004<i>i</i> (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. |
url |
https://www.atmos-meas-tech.net/10/3203/2017/amt-10-3203-2017.pdf |
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