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: 2,793 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,877 832 84 2,793 99 96
  • HTML: 1,877
  • PDF: 832
  • XML: 84
  • Total: 2,793
  • BibTeX: 99
  • EndNote: 96
Views and downloads (calculated since 07 Nov 2018)
Cumulative views and downloads (calculated since 07 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,793 (including HTML, PDF, and XML) Thereof 2,605 with geography defined and 188 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 May 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