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

Tian, Pengfei and Cao, Xianjie and Zhang, Lei and Sun, Naixiu and Sun, Lu and Logan, Timothy and Shi, Jinsen and Wang, Yuan and Ji, Yuemeng and Lin, Yun and Huang, Zhongwei and Zhou, Tian and Shi, Yingying and Zhang, Renyi (2017) Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing. Atmospheric Chemistry and Physics, 17 (4). pp. 2509-2523. ISSN 1680-7324. https://resolver.caltech.edu/CaltechAUTHORS:20170330-160635262

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Abstract

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.


Item Type:Article
Related URLs:
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http://dx.doi.org/10.5194/acp-17-2509-2017DOIArticle
http://www.atmos-chem-phys.net/17/2509/2017/PublisherArticle
http://dx.doi.org/10.5194/acp-17-2509-2017-supplementDOISupplement
Additional Information:© Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. Received: 18 Aug 2016 – Discussion started: 04 Oct 2016. Revised: 23 Dec 2016 – Accepted: 10 Jan 2017 – Published: 17 Feb 2017. This research was funded by the National Natural Science Foundation of China (41475008, 41521004, 41225018 and 41405113) and the Fundamental Research Funds for the Central Universities (lzujbky-2016-k06). P. Tian was supported by the China Scholarship Council as a visiting scholar at Texas A&M University from September 2015 to August 2016. The authors are grateful to NASA for providing the CALIPSO satellite data used in this study and to SACOL for providing the ground-based lidar data. We also thank the AERONET program for its efforts to establish and maintain the SACOL, Beijing and Taihu sites. Data availability: The CALIOP data are available from the National Aeronautics and Space Administration (NASA) website (http://www-calipso.larc.nasa.gov/tools/data_avail/). The NIES lidar data are available from the SACOL website (http://climate.lzu.edu.cn/data/data.asp) upon request. The sun photometer data are available from the AERONET website (http://aeronet.gsfc.nasa.gov/). The regional climatology products in the eight representative regions over China, the lidar profiles at SACOL and the AERONET results data in this paper are available from the authors upon request. The gridded climatology aerosol extinction coefficient profiles (not shown in this paper) and AOD over China with a 1.0° x 2.5° latitude–longitude grid, which can be used as model input or to test model results, are also available from the authors upon request. The Supplement related to this article is available online at doi:10.5194/acp-17-2509-2017-supplement. The copyright of individual parts of the supplement might differ from the CC-BY 3.0 licence. The authors declare that they have no conflict of interest.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China41475008
National Natural Science Foundation of China41521004
National Natural Science Foundation of China41225018
National Natural Science Foundation of China41405113
Fundamental Research Funds for the Central Universitieslzujbky-2016-k06
China Scholarship CouncilUNSPECIFIED
Issue or Number:4
Record Number:CaltechAUTHORS:20170330-160635262
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170330-160635262
Official Citation:Tian, P., Cao, X., Zhang, L., Sun, N., Sun, L., Logan, T., Shi, J., Wang, Y., Ji, Y., Lin, Y., Huang, Z., Zhou, T., Shi, Y., and Zhang, R.: Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing, Atmos. Chem. Phys., 17, 2509-2523, doi:10.5194/acp-17-2509-2017, 2017.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75559
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:31 Mar 2017 14:48
Last Modified:03 Oct 2019 16:51

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