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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 3
Atmos. Meas. Tech., 12, 1531–1543, 2019
https://doi.org/10.5194/amt-12-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1531–1543, 2019
https://doi.org/10.5194/amt-12-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Mar 2019

Research article | 12 Mar 2019

Detecting cloud contamination in passive microwave satellite measurements over land

Samuel Favrichon et al.

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

Publications Copernicus
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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.
Land surface parameters (such as temperature) can be extracted from passive microwave satellite...
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