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

Atmos. Chem. Phys., 17, 2509–2523, 2017

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...

Atmos. Chem. Phys., 17, 2509–2523, 2017

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 et al.

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Final revised paper (published on 17 Feb 2017)
Supplement to the final revised paper
Preprint (discussion started on 04 Oct 2016)
Supplement to the preprint

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 Anna Wenzel on behalf of the Authors (28 Dec 2016) Author's response

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

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.