Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1531-2019
https://doi.org/10.5194/amt-12-1531-2019
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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Samuel Favrichon on behalf of the Authors (29 Jan 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (01 Feb 2019) by Marloes Penning de Vries
AR by Samuel Favrichon on behalf of the Authors (07 Feb 2019)  Author's response    Manuscript
ED: Publish as is (11 Feb 2019) by Marloes Penning de Vries
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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.