Articles | Volume 19, issue 12
https://doi.org/10.5194/amt-19-4293-2026
https://doi.org/10.5194/amt-19-4293-2026
Research article
 | 
30 Jun 2026
Research article |  | 30 Jun 2026

Raman lidar-derived aerosol optical properties and classification during the FENNEC experiment – coherence with CAMS data

Patrick Chazette

Viewed

Total article views: 1,100 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
721 286 93 1,100 67 98
  • HTML: 721
  • PDF: 286
  • XML: 93
  • Total: 1,100
  • BibTeX: 67
  • EndNote: 98
Views and downloads (calculated since 11 Mar 2026)
Cumulative views and downloads (calculated since 11 Mar 2026)

Viewed (geographical distribution)

Total article views: 1,100 (including HTML, PDF, and XML) Thereof 1,049 with geography defined and 51 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Jul 2026
Download
Short summary
A novel aerosol classification methodology based on Raman lidar observations is presented and applied to measurements acquired during the FENNEC field campaign. The temporal evolution of aerosol classes and optical properties is then used to perform a quantitative evaluation of numerical simulations from the Copernicus Atmosphere Monitoring Service (CAMS) global reanalysis (EAC4).
Share