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

doi:https://doi.org/10.5194/acp-17-2509-2017

Articles | Volume 17, issue 4

https://doi.org/10.5194/acp-17-2509-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Regional transport and transformation of air pollution in...

https://doi.org/10.5194/acp-17-2509-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 4

Research article

|

17 Feb 2017

Research article |

| 17 Feb 2017

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

Pengfei Tian, Xianjie Cao, Lei Zhang, Naixiu Sun, Lu Sun, Timothy Logan, Jinsen Shi, Yuan Wang, Yuemeng Ji, Yun Lin, Zhongwei Huang, Tian Zhou, Yingying Shi, and Renyi Zhang

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Final revised paper (published on 17 Feb 2017)
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Preprint (discussion started on 04 Oct 2016)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'comments', Anonymous Referee #3, 25 Oct 2016
- AC1: 'Responses to Referee 1', Renyi Zhang, 23 Dec 2016
RC2: 'Comments', Anonymous Referee #2, 31 Oct 2016
- AC2: 'Responses to referee 2', Renyi Zhang, 23 Dec 2016
RC3: 'Comments', Anonymous Referee #1, 11 Nov 2016
- AC3: 'Responses to referee 3', Renyi Zhang, 23 Dec 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Renyi Zhang on behalf of the Authors (23 Dec 2016) Manuscript

ED: Publish subject to technical corrections (10 Jan 2017) by Zhanqing Li

AR by Renyi Zhang on behalf of the Authors (23 Jan 2017) Manuscript

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Short summary

We have investigated the vertical distribution and optical properties of aerosols over China using long-term satellite observations from the Cloud–Aerosol Lidar with Orthogonal Polarization, ground-based lidar observations and Aerosol Robotic Network data. Our results provide key information on the long-term aerosol seasonal and spatial variations, optical properties, regional types, long-range transport and atmospheric stability in China for air quality and climate studies.