Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5729-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-5729-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Research article
 | 
23 Oct 2025
Research article |  | 23 Oct 2025

FLARE-GMM: an automatic aerosol typing model based on Mie–Raman–fluorescence lidar measurements with LILAS

Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos

Viewed

Total article views: 829 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
733 68 28 829 30 30
  • HTML: 733
  • PDF: 68
  • XML: 28
  • Total: 829
  • BibTeX: 30
  • EndNote: 30
Views and downloads (calculated since 16 Jul 2025)
Cumulative views and downloads (calculated since 16 Jul 2025)

Viewed (geographical distribution)

Total article views: 829 (including HTML, PDF, and XML) Thereof 828 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
We developed a new method to automatically identify types of particles in the air, such as smoke, dust, or pollution, using a specialized laser system. This helps monitor air quality more efficiently and in greater detail. Our method uses real data collected over 3 years in northern France and can detect changes caused by weather conditions. It offers a faster and more accurate way to understand what is in the air we breathe.
Read more
Share