Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4183-2024
https://doi.org/10.5194/amt-17-4183-2024
Research article
 | 
15 Jul 2024
Research article |  | 15 Jul 2024

The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data

Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua

Viewed

Total article views: 387 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
275 85 27 387 13 14
  • HTML: 275
  • PDF: 85
  • XML: 27
  • Total: 387
  • BibTeX: 13
  • EndNote: 14
Views and downloads (calculated since 11 Mar 2024)
Cumulative views and downloads (calculated since 11 Mar 2024)

Viewed (geographical distribution)

Total article views: 387 (including HTML, PDF, and XML) Thereof 417 with geography defined and -30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Jul 2024
Download
Short summary
This study proposes an inversion method for atmospheric-aerosol or cloud microphysical parameters based on dual-wavelength lidar data. It is suitable for the inversion of uniformly mixed and single-property aerosol layers or small cloud droplets. For aerosol particles, the inversion range that this algorithm can achieve is 0.3–1.7 μm. For cloud droplets, it is 1.0–10 μm. This algorithm can quickly obtain the microphysical parameters of atmospheric particles and has better robustness.