Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 3
Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 3
Research article
 | 
12 Mar 2019
Research article |  | 12 Mar 2019

Detecting cloud contamination in passive microwave satellite measurements over land

Samuel Favrichon, Catherine Prigent, Carlos Jimenez, and Filipe Aires

Viewed

Total article views: 3,152 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,093 954 105 3,152 127 133
  • HTML: 2,093
  • PDF: 954
  • XML: 105
  • Total: 3,152
  • BibTeX: 127
  • EndNote: 133
Views and downloads (calculated since 07 Nov 2018)
Cumulative views and downloads (calculated since 07 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,152 (including HTML, PDF, and XML) Thereof 2,962 with geography defined and 190 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
Short summary
Land surface parameters (such as temperature) can be extracted from passive microwave satellite observations, with less cloud contamination than in the infrared. A cloud contamination index is proposed to detect cloud contamination for multiple frequency ranges (from 10 to 190 GHz), to be applicable to the successive generations of MW instruments. Even with a reduced number of low-frequency channels over land, the index reaches an accuracy of ≥ 70 % in detecting contaminated observations.
Read more
Share