Articles | Volume 15, issue 10
https://doi.org/10.5194/amt-15-3121-2022
https://doi.org/10.5194/amt-15-3121-2022
Research article
 | 
19 May 2022
Research article |  | 19 May 2022

DARCLOS: a cloud shadow detection algorithm for TROPOMI

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

Viewed

Total article views: 2,441 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,795 556 90 2,441 95 91
  • HTML: 1,795
  • PDF: 556
  • XML: 90
  • Total: 2,441
  • BibTeX: 95
  • EndNote: 91
Views and downloads (calculated since 15 Dec 2021)
Cumulative views and downloads (calculated since 15 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,441 (including HTML, PDF, and XML) Thereof 2,345 with geography defined and 96 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial resolution. These shadows contaminate TROPOMI's air quality measurements, because shadows are generally not taken into account in the models that are used for aerosol and trace gas retrievals. We present the Detection AlgoRithm for CLOud Shadows (DARCLOS) for TROPOMI, which is the first cloud shadow detection algorithm for a satellite spectrometer.