Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 6
Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1729-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-1729-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 6
Research article
 | 
23 Mar 2022
Research article |  | 23 Mar 2022

Empirical model of multiple-scattering effect on single-wavelength lidar data of aerosols and clouds

Valery Shcherbakov, Frédéric Szczap, Alaa Alkasem, Guillaume Mioche, and Céline Cornet

Viewed

Total article views: 2,176 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,547 554 75 2,176 200 49 60
  • HTML: 1,547
  • PDF: 554
  • XML: 75
  • Total: 2,176
  • Supplement: 200
  • BibTeX: 49
  • EndNote: 60
Views and downloads (calculated since 20 Nov 2021)
Cumulative views and downloads (calculated since 20 Nov 2021)

Viewed (geographical distribution)

Total article views: 2,176 (including HTML, PDF, and XML) Thereof 2,135 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
We performed extensive Monte Carlo (MC) simulations of lidar signals and developed an empirical model to account for the multiple scattering in the lidar signals. The simulations have taken into consideration four types of lidar configurations (the ground based, the airborne, the CALIOP, and the ATLID) and four types of particles (coarse aerosol, water cloud, jet-stream cirrus, and cirrus). The empirical model has very good quality of MC data fitting for all considered cases.
Read more
Share