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)...

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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:unknown
Published: European Geosciences Union 2017
Subjects:
Online Access:https://doi.org/10.5194/acp-17-2509-2017
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spelling ftcaltechauth:oai:authors.library.caltech.edu:zp8bx-91842 2024-06-23T07:45:00+00:00 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 2017-02-17 https://doi.org/10.5194/acp-17-2509-2017 unknown European Geosciences Union https://doi.org/10.5194/acp-17-2509-2017-supplement https://doi.org/10.5194/acp-17-2509-2017 oai:authors.library.caltech.edu:zp8bx-91842 eprintid:75559 resolverid:CaltechAUTHORS:20170330-160635262 info:eu-repo/semantics/openAccess Other Atmospheric Chemistry and Physics, 17(4), 2509-2523, (2017-02-17) info:eu-repo/semantics/article 2017 ftcaltechauth https://doi.org/10.5194/acp-17-2509-201710.5194/acp-17-2509-2017-supplement 2024-06-12T01:44:57Z 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, ... Article in Journal/Newspaper Aerosol Robotic Network Caltech Authors (California Institute of Technology)
institution Open Polar
collection Caltech Authors (California Institute of Technology)
op_collection_id ftcaltechauth
language unknown
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, ...
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
spellingShingle 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
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 European Geosciences Union
publishDate 2017
url https://doi.org/10.5194/acp-17-2509-2017
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Chemistry and Physics, 17(4), 2509-2523, (2017-02-17)
op_relation https://doi.org/10.5194/acp-17-2509-2017-supplement
https://doi.org/10.5194/acp-17-2509-2017
oai:authors.library.caltech.edu:zp8bx-91842
eprintid:75559
resolverid:CaltechAUTHORS:20170330-160635262
op_rights info:eu-repo/semantics/openAccess
Other
op_doi https://doi.org/10.5194/acp-17-2509-201710.5194/acp-17-2509-2017-supplement
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