Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-745-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-745-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
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: 2,043 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,405 592 46 2,043 192 33 35
  • HTML: 1,405
  • PDF: 592
  • XML: 46
  • Total: 2,043
  • Supplement: 192
  • BibTeX: 33
  • EndNote: 35
Views and downloads (calculated since 24 Oct 2022)
Cumulative views and downloads (calculated since 24 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,043 (including HTML, PDF, and XML) Thereof 2,038 with geography defined and 5 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 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.
Read more