Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 6
Articles | Volume 17, issue 6
https://doi.org/10.5194/amt-17-1721-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1721-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 6
Research article
 | 
25 Mar 2024
Research article |  | 25 Mar 2024

Lidar depolarization characterization using a reference system

Alkistis Papetta, Franco Marenco, Maria Kezoudi, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Holger Baars, Ioana Elisabeta Popovici, Philippe Goloub, Stéphane Victori, and Jean Sciare

Viewed

Total article views: 1,417 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,154 215 48 1,417 40 57
  • HTML: 1,154
  • PDF: 215
  • XML: 48
  • Total: 1,417
  • BibTeX: 40
  • EndNote: 57
Views and downloads (calculated since 09 Aug 2023)
Cumulative views and downloads (calculated since 09 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,417 (including HTML, PDF, and XML) Thereof 1,258 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
We propose a method to determine depolarization parameters using observations from a reference instrument at a nearby location, needed for systems where a priori knowledge of cross-talk parameters is not available. It uses three-parameter equations to compare VDR between two co-located lidars at dust and molecular layers. It can be applied retrospectively to existing data acquired during campaigns. Its application to Cimel CE376 corrected VDR bias at high- and low-depolarizing layers.
Read more