The characterization of Taklamakan dust properties using a multiwavelength Raman polarization lidar  in Kashi, China

Hu, Qiaoyun; Wang, Haofei; Goloub, Philippe; Li, Zhengqiang; Veselovskii, Igor; Podvin, Thierry; Li, Kaitao; Korenskiy, Mikhail

doi:https://doi.org/10.5194/acp-20-13817-2020

Articles | Volume 20, issue 22

https://doi.org/10.5194/acp-20-13817-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Satellite and ground-based remote sensing of aerosol optical,...

https://doi.org/10.5194/acp-20-13817-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 22

Research article

|

17 Nov 2020

Research article |

| 17 Nov 2020

The characterization of Taklamakan dust properties using a multiwavelength Raman polarization lidar in Kashi, China

Qiaoyun Hu, Haofei Wang, Philippe Goloub, Zhengqiang Li, Igor Veselovskii, Thierry Podvin, Kaitao Li, and Mikhail Korenskiy

Download

Final revised paper (published on 17 Nov 2020)
Preprint (discussion started on 25 May 2020)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Referee Comment', Anonymous Referee #2, 19 Jun 2020
- AC2: 'response_to_reviewer_2', Qiaoyun Hu, 03 Sep 2020
RC2: 'review', Anonymous Referee #1, 23 Jul 2020
- AC1: 'response_to_reviewer_1', Qiaoyun Hu, 03 Sep 2020

Peer-review completion

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

AR by Qiaoyun Hu on behalf of the Authors (29 Sep 2020) Author's response Manuscript

ED: Publish as is (01 Oct 2020) by Matthias Tesche

Short summary

This study presents the characteristics of Taklamakan dust particles derived from lidar measurements collected in the dust aerosol observation field campaign. It provides comprehensive parameters for Taklamakan dust properties and vertical distributions of Taklamakan dust. This paper also points out the importance of polluted dust which was frequently observed in the field campaign. The results contribute to improving knowledge about dust and reducing uncertainties in the climatic model.