Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 3
Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1167-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1167-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 3
Research article
 | 
10 Mar 2020
Research article |  | 10 Mar 2020

Automatic quality control of the Meteosat First Generation measurements

Freek Liefhebber, Sarah Lammens, Paul W. G. Brussee, André Bos, Viju O. John, Frank Rüthrich, Jacobus Onderwaater, Michael G. Grant, and Jörg Schulz

Viewed

Total article views: 3,185 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,251 854 80 3,185 211 76 63
  • HTML: 2,251
  • PDF: 854
  • XML: 80
  • Total: 3,185
  • Supplement: 211
  • BibTeX: 76
  • EndNote: 63
Views and downloads (calculated since 29 Jul 2019)
Cumulative views and downloads (calculated since 29 Jul 2019)

Viewed (geographical distribution)

Total article views: 3,185 (including HTML, PDF, and XML) Thereof 2,759 with geography defined and 426 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Jan 2025
Download
Short summary
The paper addresses the need for automatic quality control of a whole series of Earth observation (EO) time series extending a period of over 40 years. Such a dataset is valuable and may provide important information about trends related to geo-physical processes. Furthermore, as the dataset is that large, there is a need to completely automate the processes, as otherwise the effort would become impracticable. The result is a system with a high probability of detection and low false alarm rate.
Read more