Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-1879-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1879-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Research article
 | 
03 Apr 2024
Research article |  | 03 Apr 2024

Aerosol and cloud data processing and optical property 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

Viewed

Total article views: 1,612 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,121 439 52 1,612 32 51 56
  • HTML: 1,121
  • PDF: 439
  • XML: 52
  • Total: 1,612
  • Supplement: 32
  • BibTeX: 51
  • EndNote: 56
Views and downloads (calculated since 26 Sep 2023)
Cumulative views and downloads (calculated since 26 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,612 (including HTML, PDF, and XML) Thereof 1,546 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
An overview is given of the main algorithms applied to derive the aerosol and cloud optical property product of the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The paper demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical property product measurement cases and global aerosol optical depth profile observations.
Read more