Preprints
https://doi.org/10.5194/amt-2023-219
https://doi.org/10.5194/amt-2023-219
20 Oct 2023
 | 20 Oct 2023
Status: a revised version of this preprint is currently under review for the journal AMT.

Aerosol Optical Properties Measurement using the Orbiting High Spectral Resolution Lidar onboard DQ-1 Satellite: Retrieval and Validation

Chenxing Zha, Lingbing Bu, Zhi Li, Qin Wang, Ahmad Mubarak, Pasindu Liyanage, Jiqiao Liu, and Weibiao Chen

Abstract. The atmospheric environment monitoring satellite DQ-1 was launched in April 2022, which consists of a spaceborne High Spectral Resolution Lidar (HSRL) system. This new system enables the accurate measurements of global aerosol optical properties, which can be used in Geo-scientific community after the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) retirement. Developing a suitable retrieval algorithm and validating retrieved results are prominently needed. This research demonstrates a retrieval algorithm for aerosol optical properties using the DQ-1 HSRL system. This method has retrieved the aerosol depolarization ratio, backscatter coefficient, extinction coefficient, and optical depth. For validation purposes, we compared retrieved results with those obtained through CALIPSO. The results have shown a continuous profile alignment between the two datasets, with DQ-1 describing an improved signal-to-noise ratio of approximately 10 dB. Optical property profiles from NASA Micro Pulse Lidar NETwork (MPLNET) stations were selected for validation with the DQ-1 measurements, resulting in a relative error of 25 %. Between June 2022 and December 2022, aerosol optical depth measurements using the DQ-1 satellite and the AErosol RObotic NETwork (AERONET) were correlated and yielded a value of R2 0.803. We use the DQ-1 dataset to initially investigate the transport processes of the Saharan dust and the South Atlantic volcanic ash. These validations and applications show that the DQ-1 HSRL system can accurately measure global aerosols and holds significant prospects for earth science applications.

Chenxing Zha, Lingbing Bu, Zhi Li, Qin Wang, Ahmad Mubarak, Pasindu Liyanage, Jiqiao Liu, and Weibiao Chen

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2023-219', Albert Ansmann, 08 Nov 2023
    • AC1: 'Reply on CC1', Jim Hsing, 27 Dec 2023
  • RC1: 'Comment on amt-2023-219', Anonymous Referee #1, 28 Dec 2023
    • AC2: 'Reply on RC1', Jim Hsing, 14 Jan 2024
  • RC2: 'Comment on amt-2023-219', David Winker, 18 Jan 2024
    • AC3: 'Reply on RC2', Jim Hsing, 14 Feb 2024
Chenxing Zha, Lingbing Bu, Zhi Li, Qin Wang, Ahmad Mubarak, Pasindu Liyanage, Jiqiao Liu, and Weibiao Chen
Chenxing Zha, Lingbing Bu, Zhi Li, Qin Wang, Ahmad Mubarak, Pasindu Liyanage, Jiqiao Liu, and Weibiao Chen

Viewed

Total article views: 608 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
420 169 19 608 8 7
  • HTML: 420
  • PDF: 169
  • XML: 19
  • Total: 608
  • BibTeX: 8
  • EndNote: 7
Views and downloads (calculated since 20 Oct 2023)
Cumulative views and downloads (calculated since 20 Oct 2023)

Viewed (geographical distribution)

Total article views: 601 (including HTML, PDF, and XML) Thereof 601 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Mar 2024
Download
Short summary
China launched the atmospheric environment monitoring satellite DQ-1, which consists of an advanced lidar system. Our research demonstrates a retrieval algorithm of the DQ-1 lidar system, and the retrieval results are consistent with the other datasets. We also use the DQ-1 dataset to investigate the dust and volcanic ash. This research shows that the DQ-1 lidar system can accurately measure the earth's atmosphere and holds prospects for science applications.