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

Data sets

SEVIRI CLAAS-2 Cloud property dataset S. Finkensieper, J.-F. Meirink, G.-J. van Zadelhoff, T. Hanschmann, N. Benas, M. Stengel, P. Fuchs, R. Hollmann, and M. Werscheck https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V002

GPM GMI_R Common Calibrated Brightness Temperatures Collocated L1C V05 W. Berg https://doi.org/10.5067/GPM/GMI/R/1C/05

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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.