Preprints
https://doi.org/10.5194/egusphere-2023-2182
https://doi.org/10.5194/egusphere-2023-2182
26 Sep 2023
 | 26 Sep 2023

Aerosols and Clouds data processing and optical properties retrieval algorithms for the spaceborne ACDL/DQ-1

Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen

Abstract. The new-generation atmospheric environment monitoring satellite DQ-1, launched successfully in April 2022 carries the Aerosol and Carbon Detection Lidar (ACDL) which is capable of globally profiling the aerosols and clouds optical properties with high accuracy. The ACDL/DQ-1 is a high-spectral-resolution lidar (HSRL) with two-wavelength polarization detection, that can be utilized to derive the aerosol optical properties. The methods are specifically developed for the data processing and optical properties retrieval according to the specific characteristics of the ACDL system are introduced in detail in this paper. Considering the different signal characteristics and different background noise behaviours of each channel during daytime and nighttime, the procedures of data pre-processing, denoising process and quality control are applied to the original measurement signals. The aerosol and cloud optical properties products of the ACDL/DQ-1 including total depolarization ratio, backscatter coefficient, extinction coefficient, lidar ratio and colour ratio can be calculated by the retrieval algorithms presented in this paper. Two measurement cases with use of the ACDL/DQ-1 on 27th June 2022 and the global averaged aerosol optical depth (AOD) from 1st June to 4th August 2022 are provided and analysed, which demonstrated the measurement capability of the ACDL/DQ-1.

Guangyao Dai et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2182', Anonymous Referee #1, 27 Nov 2023
  • RC2: 'Review of ‚Aerosols and Clouds data processing and optical properties retrieval algorithms for the spaceborne ACDL/DQ-1’ by Dai et al.', Anonymous Referee #2, 27 Nov 2023

Guangyao Dai et al.

Guangyao Dai et al.

Viewed

Total article views: 521 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
313 197 11 521 7 11
  • HTML: 313
  • PDF: 197
  • XML: 11
  • Total: 521
  • BibTeX: 7
  • EndNote: 11
Views and downloads (calculated since 26 Sep 2023)
Cumulative views and downloads (calculated since 26 Sep 2023)

Viewed (geographical distribution)

Total article views: 488 (including HTML, PDF, and XML) Thereof 488 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Dec 2023
Download
Short summary
This paper gives an overview of the main algorithms applied to derive the aerosols and clouds optical properties product of Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling the aerosols and clouds optical properties with high accuracy. And demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical properties products measurement cases and global AOD profile observations.