Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing

The seasonal and spatial variations of vertical distribution and optical properties of aerosols over China are studied using long-term satellite observations from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and ground-based lidar observations and Aerosol Robotic Network (AERONET) d...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Tian, Pengfei, Cao, Xianjie, Zhang, Lei, Sun, Naixiu, Sun, Lu, Logan, Timothy, Shi, Jinsen, Wang, Yuan, Ji, Yuemeng, Lin, Yun, Huang, Zhongwei, Zhou, Tian, Shi, Yingying, Zhang, Renyi
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
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Online Access:https://doi.org/10.5194/acp-17-2509-2017
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00042693 2023-05-15T13:07:14+02:00 Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing Tian, Pengfei Cao, Xianjie Zhang, Lei Sun, Naixiu Sun, Lu Logan, Timothy Shi, Jinsen Wang, Yuan Ji, Yuemeng Lin, Yun Huang, Zhongwei Zhou, Tian Shi, Yingying Zhang, Renyi 2017-02 electronic https://doi.org/10.5194/acp-17-2509-2017 https://noa.gwlb.de/receive/cop_mods_00042693 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042313/acp-17-2509-2017.pdf https://acp.copernicus.org/articles/17/2509/2017/acp-17-2509-2017.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-17-2509-2017 https://noa.gwlb.de/receive/cop_mods_00042693 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042313/acp-17-2509-2017.pdf https://acp.copernicus.org/articles/17/2509/2017/acp-17-2509-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/acp-17-2509-2017 2022-02-08T22:40:58Z The seasonal and spatial variations of vertical distribution and optical properties of aerosols over China are studied using long-term satellite observations from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and ground-based lidar observations and Aerosol Robotic Network (AERONET) data. The CALIOP products are validated using the ground-based lidar measurements at the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL). The Taklamakan Desert and Tibetan Plateau regions exhibit the highest depolarization and color ratios because of the natural dust origin, whereas the North China Plain, Sichuan Basin and Yangtze River Delta show the lowest depolarization and color ratios because of aerosols from secondary formation of the anthropogenic origin. Certain regions, such as the North China Plain in spring and the Loess Plateau in winter, show intermediate depolarization and color ratios because of mixed dust and anthropogenic aerosols. In the Pearl River Delta region, the depolarization and color ratios are similar to but higher than those of the other polluted regions because of combined anthropogenic and marine aerosols. Long-range transport of dust in the middle and upper troposphere in spring is well captured by the CALIOP observations. The seasonal variations in the aerosol vertical distributions reveal efficient transport of aerosols from the atmospheric boundary layer to the free troposphere because of summertime convective mixing. The aerosol extinction lapse rates in autumn and winter are more positive than those in spring and summer, indicating trapped aerosols within the boundary layer because of stabler meteorological conditions. More than 80 % of the column aerosols are distributed within 1.5 km above the ground in winter, when the aerosol extinction lapse rate exhibits a maximum seasonal average in all study regions except for the Tibetan Plateau. The aerosol extinction lapse rates in the polluted regions are higher than those of the less polluted regions, indicating a stabilized atmosphere due to absorptive aerosols in the polluted regions. Our results reveal that the satellite and ground-based remote-sensing measurements provide the key information on the long-term seasonal and spatial variations in the aerosol vertical distribution and optical properties, regional aerosol types, long-range transport and atmospheric stability, which can be utilized to more precisely assess the direct and indirect aerosol effects on weather and climate. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Chemistry and Physics 17 4 2509 2523
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Tian, Pengfei
Cao, Xianjie
Zhang, Lei
Sun, Naixiu
Sun, Lu
Logan, Timothy
Shi, Jinsen
Wang, Yuan
Ji, Yuemeng
Lin, Yun
Huang, Zhongwei
Zhou, Tian
Shi, Yingying
Zhang, Renyi
Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
topic_facet article
Verlagsveröffentlichung
description The seasonal and spatial variations of vertical distribution and optical properties of aerosols over China are studied using long-term satellite observations from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and ground-based lidar observations and Aerosol Robotic Network (AERONET) data. The CALIOP products are validated using the ground-based lidar measurements at the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL). The Taklamakan Desert and Tibetan Plateau regions exhibit the highest depolarization and color ratios because of the natural dust origin, whereas the North China Plain, Sichuan Basin and Yangtze River Delta show the lowest depolarization and color ratios because of aerosols from secondary formation of the anthropogenic origin. Certain regions, such as the North China Plain in spring and the Loess Plateau in winter, show intermediate depolarization and color ratios because of mixed dust and anthropogenic aerosols. In the Pearl River Delta region, the depolarization and color ratios are similar to but higher than those of the other polluted regions because of combined anthropogenic and marine aerosols. Long-range transport of dust in the middle and upper troposphere in spring is well captured by the CALIOP observations. The seasonal variations in the aerosol vertical distributions reveal efficient transport of aerosols from the atmospheric boundary layer to the free troposphere because of summertime convective mixing. The aerosol extinction lapse rates in autumn and winter are more positive than those in spring and summer, indicating trapped aerosols within the boundary layer because of stabler meteorological conditions. More than 80 % of the column aerosols are distributed within 1.5 km above the ground in winter, when the aerosol extinction lapse rate exhibits a maximum seasonal average in all study regions except for the Tibetan Plateau. The aerosol extinction lapse rates in the polluted regions are higher than those of the less polluted regions, indicating a stabilized atmosphere due to absorptive aerosols in the polluted regions. Our results reveal that the satellite and ground-based remote-sensing measurements provide the key information on the long-term seasonal and spatial variations in the aerosol vertical distribution and optical properties, regional aerosol types, long-range transport and atmospheric stability, which can be utilized to more precisely assess the direct and indirect aerosol effects on weather and climate.
format Article in Journal/Newspaper
author Tian, Pengfei
Cao, Xianjie
Zhang, Lei
Sun, Naixiu
Sun, Lu
Logan, Timothy
Shi, Jinsen
Wang, Yuan
Ji, Yuemeng
Lin, Yun
Huang, Zhongwei
Zhou, Tian
Shi, Yingying
Zhang, Renyi
author_facet Tian, Pengfei
Cao, Xianjie
Zhang, Lei
Sun, Naixiu
Sun, Lu
Logan, Timothy
Shi, Jinsen
Wang, Yuan
Ji, Yuemeng
Lin, Yun
Huang, Zhongwei
Zhou, Tian
Shi, Yingying
Zhang, Renyi
author_sort Tian, Pengfei
title Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
title_short Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
title_full Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
title_fullStr Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
title_full_unstemmed Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing
title_sort aerosol vertical distribution and optical properties over china from long-term satellite and ground-based remote sensing
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/acp-17-2509-2017
https://noa.gwlb.de/receive/cop_mods_00042693
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https://acp.copernicus.org/articles/17/2509/2017/acp-17-2509-2017.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324
https://doi.org/10.5194/acp-17-2509-2017
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https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042313/acp-17-2509-2017.pdf
https://acp.copernicus.org/articles/17/2509/2017/acp-17-2509-2017.pdf
op_rights uneingeschränkt
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op_doi https://doi.org/10.5194/acp-17-2509-2017
container_title Atmospheric Chemistry and Physics
container_volume 17
container_issue 4
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