Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 13
Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-6787-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-6787-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 13
Research article
 | 
03 Jul 2025
Research article |  | 03 Jul 2025

Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models

Yuyang Chang, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Igor Veselovskii, Fabrice Ducos, Gaël Dubois, Masanori Saito, Anton Lopatin, Oleg Dubovik, and Cheng Chen

Viewed

Total article views: 2,216 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,595 392 229 2,216 172 76 95
  • HTML: 1,595
  • PDF: 392
  • XML: 229
  • Total: 2,216
  • Supplement: 172
  • BibTeX: 76
  • EndNote: 95
Views and downloads (calculated since 23 Oct 2024)
Cumulative views and downloads (calculated since 23 Oct 2024)

Viewed (geographical distribution)

Total article views: 2,216 (including HTML, PDF, and XML) Thereof 2,181 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Mar 2026
Download
Short summary
Our study retrieved dust aerosol microphysical properties from lidar measurements using different scattering models. Numeric simulations and real data applications revealed the importance of considering depolarization measurements and the superiority of the irregular–hexahedral model in the retrieval of dust aerosols from lidar measurements.
Read more
Share
Altmetrics
Final-revised paper
Preprint