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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ftcopernicus:oai:publications.copernicus.org:acp54320 2023-05-15T13:07:13+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 2018-09-09 application/pdf https://doi.org/10.5194/acp-17-2509-2017 https://www.atmos-chem-phys.net/17/2509/2017/ eng eng doi:10.5194/acp-17-2509-2017 https://www.atmos-chem-phys.net/17/2509/2017/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-17-2509-2017 2019-12-24T09:51:39Z 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. Text Aerosol Robotic Network Copernicus Publications: E-Journals Atmospheric Chemistry and Physics 17 4 2509 2523 |
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Copernicus Publications: E-Journals |
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English |
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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 |
Text |
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 |
publishDate |
2018 |
url |
https://doi.org/10.5194/acp-17-2509-2017 https://www.atmos-chem-phys.net/17/2509/2017/ |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-17-2509-2017 https://www.atmos-chem-phys.net/17/2509/2017/ |
op_doi |
https://doi.org/10.5194/acp-17-2509-2017 |
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Atmospheric Chemistry and Physics |
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17 |
container_issue |
4 |
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2509 |
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2523 |
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1766040793534955520 |