Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-745-2023
https://doi.org/10.5194/amt-16-745-2023
Research article
 | 
09 Feb 2023
Research article |  | 09 Feb 2023

The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm

Jason L. Tackett, Jayanta Kar, Mark A. Vaughan, Brian J. Getzewich, Man-Hae Kim, Jean-Paul Vernier, Ali H. Omar, Brian E. Magill, Michael C. Pitts, and David M. Winker

Viewed

Total article views: 2,504 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,725 712 67 2,504 238 59 55
  • HTML: 1,725
  • PDF: 712
  • XML: 67
  • Total: 2,504
  • Supplement: 238
  • BibTeX: 59
  • EndNote: 55
Views and downloads (calculated since 24 Oct 2022)
Cumulative views and downloads (calculated since 24 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,504 (including HTML, PDF, and XML) Thereof 2,487 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
The accurate identification of aerosol types in the stratosphere is important to characterize their impacts on the Earth climate system. The space-borne lidar on board CALIPSO is well-posed to identify aerosols in the stratosphere from volcanic eruptions and major wildfire events. This paper describes improvements implemented in the version 4.5 CALIPSO data release to more accurately discriminate between volcanic ash, sulfate, and smoke within the stratosphere.