Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 6
Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-1931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 6
Research article
 | 
30 Mar 2022
Research article |  | 30 Mar 2022

Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm

Thibault Vaillant de Guélis, Gérard Ancellet, Anne Garnier, Laurent C.-Labonnote, Jacques Pelon, Mark A. Vaughan, Zhaoyan Liu, and David M. Winker

Viewed

Total article views: 2,215 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,445 692 78 2,215 54 69
  • HTML: 1,445
  • PDF: 692
  • XML: 78
  • Total: 2,215
  • BibTeX: 54
  • EndNote: 69
Views and downloads (calculated since 15 Dec 2021)
Cumulative views and downloads (calculated since 15 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,215 (including HTML, PDF, and XML) Thereof 2,192 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jul 2025
Download
Short summary
A new IIR-based cloud and aerosol discrimination (CAD) algorithm is developed using the IIR brightness temperature differences for cloud and aerosol features confidently identified by the CALIOP version 4 CAD algorithm. IIR classifications agree with the majority of V4 cloud identifications, reduce the ambiguity in a notable fraction of not confident V4 cloud classifications, and correct a few V4 misclassifications of cloud layers identified as dense dust or elevated smoke layers by CALIOP.
Read more
Share