Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 22
Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-6527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 22
Research article
 | 
14 Nov 2025
Research article |  | 14 Nov 2025

Aerosol extinction and backscatter Optimal Estimation retrieval for High Spectral Resolution Lidar

Sharon P. Burton, Johnathan W. Hair, Chris A. Hostetler, Marta A. Fenn, John A. Smith, and Richard A. Ferrare

Viewed

Total article views: 793 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
686 78 29 793 22 26
  • HTML: 686
  • PDF: 78
  • XML: 29
  • Total: 793
  • BibTeX: 22
  • EndNote: 26
Views and downloads (calculated since 11 Jul 2025)
Cumulative views and downloads (calculated since 11 Jul 2025)

Viewed (geographical distribution)

Total article views: 793 (including HTML, PDF, and XML) Thereof 778 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Nov 2025
Download
Short summary
Advanced lidars can retrieve atmospheric aerosol backscatter, extinction, and linear depolarization ratio. However excessive noise propagation in the traditional inversion method can make extinction unusable when the signal is weak, such as from space. Implementing a weak constraint can reduce the noise propagation while preserving accuracy. Here we also focus on fully characterizing both random and systematic uncertainties and examining the tradeoff between uncertainty and resolution.
Read more
Share