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-25-7403-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-7403-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 13
Research article
 | 
14 Jul 2025
Research article |  | 14 Jul 2025

Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products

Xin Xi, Jun Wang, Zhendong Lu, Andrew M. Sayer, Jaehwa Lee, Robert C. Levy, Yujie Wang, Alexei Lyapustin, Hongqing Liu, Istvan Laszlo, Changwoo Ahn, Omar Torres, Sabur Abdullaev, James Limbacher, and Ralph A. Kahn

Viewed

Total article views: 1,750 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,372 317 61 1,750 48 59
  • HTML: 1,372
  • PDF: 317
  • XML: 61
  • Total: 1,750
  • BibTeX: 48
  • EndNote: 59
Views and downloads (calculated since 02 Dec 2024)
Cumulative views and downloads (calculated since 02 Dec 2024)

Viewed (geographical distribution)

Total article views: 1,750 (including HTML, PDF, and XML) Thereof 1,710 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Jan 2026
Download
Short summary
The Aralkum Desert is challenging for aerosol retrieval due to its bright, heterogeneous, and dynamic surfaces and the lack of in situ constraints on aerosol properties. The performance and consistency of satellite algorithms in observing Aralkum-generated saline dust remain unknown. This study compares multisensor UVAI (ultraviolet aerosol index), AOD (aerosol optical depth), and ALH (aerosol layer height) products and reveals inconsistencies and potential biases over the Aral Sea basin.
Read more
Share
Altmetrics
Final-revised paper
Preprint