Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-409-2018
https://doi.org/10.5194/amt-11-409-2018
Research article
 | 
18 Jan 2018
Research article |  | 18 Jan 2018

The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor

Diego G. Loyola, Sebastián Gimeno García, Ronny Lutz, Athina Argyrouli, Fabian Romahn, Robert J. D. Spurr, Mattia Pedergnana, Adrian Doicu, Víctor Molina García, and Olena Schüssler

Viewed

Total article views: 4,502 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,795 1,622 85 4,502 125 108
  • HTML: 2,795
  • PDF: 1,622
  • XML: 85
  • Total: 4,502
  • BibTeX: 125
  • EndNote: 108
Views and downloads (calculated since 15 May 2017)
Cumulative views and downloads (calculated since 15 May 2017)

Viewed (geographical distribution)

Total article views: 4,502 (including HTML, PDF, and XML) Thereof 4,364 with geography defined and 138 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Jul 2024
Download
Short summary
In this paper we present the operational cloud retrieval algorithms for the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel-5 Precursor (S5P) mission: OCRA (Optical Cloud Recognition Algorithm) retrieves the cloud fraction using measurements in the UV–VIS spectral regions, and ROCINN (Retrieval of Cloud Information using Neural Networks) retrieves the cloud top height and optical thickness using measurements in and around the oxygen A-band in the NIR.