Variability of Major Aerosol Types in China Classified Using AERONET Measurements
Aerosol type is a critical piece of information in both aerosol forcing estimation and passive satellite remote sensing. However, the major aerosol types in China and their variability is still less understood. This work uses direct sun measurements and inversion derived parameters from 47 sites wit...
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ftmdpi:oai:mdpi.com:/2072-4292/11/20/2334/ 2023-08-20T03:59:11+02:00 Variability of Major Aerosol Types in China Classified Using AERONET Measurements Lu Zhang Jing Li agris 2019-10-09 application/pdf https://doi.org/10.3390/rs11202334 EN eng Multidisciplinary Digital Publishing Institute Urban Remote Sensing https://dx.doi.org/10.3390/rs11202334 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 20; Pages: 2334 aerosol type classification spatial and temporal variability Text 2019 ftmdpi https://doi.org/10.3390/rs11202334 2023-07-31T22:40:39Z Aerosol type is a critical piece of information in both aerosol forcing estimation and passive satellite remote sensing. However, the major aerosol types in China and their variability is still less understood. This work uses direct sun measurements and inversion derived parameters from 47 sites within the Aerosol Robotic Network (AERONET) in China, with more than 39,000 records obtained between April 1998 and January 2017, to identify dominant aerosol types using two independent methods, namely, K means and Self Organizing Map (SOM). In total, we define four aerosol types, namely, desert dust, scattering mixed, absorbing mixed and scattering fine, based on their optical and microphysical characteristics. Seasonally, dust aerosols mainly occur in the spring and over North and Northwest China; scattering mixed are more common in the spring and summer, whereas absorbing aerosols mostly occur in the autumn and winter during heating period, and scattering fine aerosols have their highest occurrence frequency in summer over East China. Based on their spatial and temporal distribution, we also generate seasonal aerosol type maps that can be used for passive satellite retrieval. Compared with the global models used in most satellite retrieval algorithms, the unique feature of East Asian aerosols is the curved single scattering albedo spectrum, which could be related to the mixing of black carbon with dust or organic aerosols. Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 11 20 2334 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
aerosol type classification spatial and temporal variability |
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aerosol type classification spatial and temporal variability Lu Zhang Jing Li Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
topic_facet |
aerosol type classification spatial and temporal variability |
description |
Aerosol type is a critical piece of information in both aerosol forcing estimation and passive satellite remote sensing. However, the major aerosol types in China and their variability is still less understood. This work uses direct sun measurements and inversion derived parameters from 47 sites within the Aerosol Robotic Network (AERONET) in China, with more than 39,000 records obtained between April 1998 and January 2017, to identify dominant aerosol types using two independent methods, namely, K means and Self Organizing Map (SOM). In total, we define four aerosol types, namely, desert dust, scattering mixed, absorbing mixed and scattering fine, based on their optical and microphysical characteristics. Seasonally, dust aerosols mainly occur in the spring and over North and Northwest China; scattering mixed are more common in the spring and summer, whereas absorbing aerosols mostly occur in the autumn and winter during heating period, and scattering fine aerosols have their highest occurrence frequency in summer over East China. Based on their spatial and temporal distribution, we also generate seasonal aerosol type maps that can be used for passive satellite retrieval. Compared with the global models used in most satellite retrieval algorithms, the unique feature of East Asian aerosols is the curved single scattering albedo spectrum, which could be related to the mixing of black carbon with dust or organic aerosols. |
format |
Text |
author |
Lu Zhang Jing Li |
author_facet |
Lu Zhang Jing Li |
author_sort |
Lu Zhang |
title |
Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
title_short |
Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
title_full |
Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
title_fullStr |
Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
title_full_unstemmed |
Variability of Major Aerosol Types in China Classified Using AERONET Measurements |
title_sort |
variability of major aerosol types in china classified using aeronet measurements |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11202334 |
op_coverage |
agris |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; Volume 11; Issue 20; Pages: 2334 |
op_relation |
Urban Remote Sensing https://dx.doi.org/10.3390/rs11202334 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11202334 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
20 |
container_start_page |
2334 |
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1774718846855282688 |