Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4249-2021
https://doi.org/10.5194/acp-21-4249-2021
Research article
 | 
19 Mar 2021
Research article |  | 19 Mar 2021

Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques

Gemine Vivone, Giuseppe D'Amico, Donato Summa, Simone Lolli, Aldo Amodeo, Daniele Bortoli, and Gelsomina Pappalardo

Viewed

Total article views: 4,193 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,169 976 48 4,193 67 53
  • HTML: 3,169
  • PDF: 976
  • XML: 48
  • Total: 4,193
  • BibTeX: 67
  • EndNote: 53
Views and downloads (calculated since 25 Sep 2020)
Cumulative views and downloads (calculated since 25 Sep 2020)

Viewed (geographical distribution)

Total article views: 4,193 (including HTML, PDF, and XML) Thereof 4,187 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
We developed a methodology to retrieve the atmospheric boundary layer height from elastic and multi-wavelength lidar observations that uses a new approach based on morphological image processing techniques. The intercomparison with other state-of-the-art algorithms shows on average 30 % improved performance. The algorithm also shows excellent performance with respect to the running time, i.e., just few seconds to execute the whole signal processing chain over 72 h of continuous measurements.
Altmetrics
Final-revised paper
Preprint