Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/amt-18-73-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-73-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Research article
 | 
08 Jan 2025
Research article |  | 08 Jan 2025

Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI

Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma

Viewed

Total article views: 834 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
489 145 200 834 30 29
  • HTML: 489
  • PDF: 145
  • XML: 200
  • Total: 834
  • BibTeX: 30
  • EndNote: 29
Views and downloads (calculated since 22 Apr 2024)
Cumulative views and downloads (calculated since 22 Apr 2024)

Viewed (geographical distribution)

Total article views: 834 (including HTML, PDF, and XML) Thereof 834 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2025
Download
Short summary
Our study investigates the impact of cloud shadows on satellite-based aerosol index measurements over Europe by TROPOMI. Using a cloud shadow detection algorithm and simulations, we found that the overall effect on the aerosol index is minimal. Interestingly, we found that cloud shadows are significantly bluer than their shadow-free surroundings, but the traditional algorithm already (partly) automatically corrects for this increased blueness.
Read more
Share