Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-397-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-397-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Research article
 | 
19 Jan 2024
Research article |  | 19 Jan 2024

Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations

Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh

Viewed

Total article views: 796 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
616 132 48 796 37 30
  • HTML: 616
  • PDF: 132
  • XML: 48
  • Total: 796
  • BibTeX: 37
  • EndNote: 30
Views and downloads (calculated since 10 Oct 2023)
Cumulative views and downloads (calculated since 10 Oct 2023)

Viewed (geographical distribution)

Total article views: 796 (including HTML, PDF, and XML) Thereof 778 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Jul 2024
Download
Short summary
We introduce the multi-section method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements, in this study. Our method effectively removes signal–noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.
Read more