Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 2
Articles | Volume 19, issue 2
https://doi.org/10.5194/amt-19-679-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-679-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 2
Research article
 | 
28 Jan 2026
Research article |  | 28 Jan 2026

Decomposition of three aerosol types using lidar-derived depolarization ratios at two wavelengths

Xiaoxia Shang, Maria Filioglou, Julian Hofer, Moritz Haarig, Qiaoyun Hu, Philippe Goloub, Sami Romakkaniemi, and Mika Komppula

Viewed

Total article views: 4,000 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,334 533 133 4,000 144 203
  • HTML: 3,334
  • PDF: 533
  • XML: 133
  • Total: 4,000
  • BibTeX: 144
  • EndNote: 203
Views and downloads (calculated since 02 Jan 2025)
Cumulative views and downloads (calculated since 02 Jan 2025)

Viewed (geographical distribution)

Total article views: 4,000 (including HTML, PDF, and XML) Thereof 3,991 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jun 2026
Download
Short summary
We developed a simple method to identify different types of airborne particles using laser-based measurements. It can distinguish coarse dust, fine dust, and non-dust aerosols. Tests with real data from regions affected by desert dust show the method works well. This helps improve understanding of how particles are distributed in the atmosphere, which is important for air quality and climate studies.
Read more
Share