Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 10
Articles | Volume 15, issue 10
https://doi.org/10.5194/amt-15-3121-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-3121-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 10
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: 2,668 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,947 626 95 2,668 108 104
  • HTML: 1,947
  • PDF: 626
  • XML: 95
  • Total: 2,668
  • BibTeX: 108
  • EndNote: 104
Views and downloads (calculated since 15 Dec 2021)
Cumulative views and downloads (calculated since 15 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,668 (including HTML, PDF, and XML) Thereof 2,562 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 May 2025
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.
Read more
Share