Articles | Volume 13, issue 6
Atmos. Meas. Tech., 13, 3263–3275, 2020
Atmos. Meas. Tech., 13, 3263–3275, 2020

Research article 19 Jun 2020

Research article | 19 Jun 2020

Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products

Benjamin Marchant et al.

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Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Cited articles

Baum, B. A., Menzel, W. P., Frey, R. A., Tobin, D. C., Holz, R. E., Ackerman, S. A., Heidinger, A. K., and Yang, P.: MODIS Cloud-Top Property Refinements for Collection 6, J. Appl. Meteorol. Climatol., 51, 1145–1163,, 2012. 
Chang, F.-L. and Li, Z.: A New Method for Detection of Cirrus Overlapping Water Clouds and Determination of Their Optical Properties, J. Atmos. Sci., 62, 3993–4009,, 2005.  
Desmons, M., Ferlay, N., Parol, F., Riédi, J., and Thieuleux, F.: A Global Multilayer Cloud Identification with POLDER/PARASOL, J. Appl. Meteorol. Clim., 56, 1121–1139,, 2017. 
Heidinger, A. K. and Pavolonis, M. J.: Global Daytime Distribution of Overlapping Cirrus Cloud from NOAA's Advanced Very High-Resolution Radiometer, J. Climate, 18, 4772–4784,, 2005. 
Jin, Y. and Rossow, W. B.: Detection of cirrus overlapping low-level clouds, J. Geophys. Res.-Atmos., 102, 1727–1737,, 1997. 
Short summary
Multilayer cloud scenes (such as an ice cloud overlapping a liquid cloud) are common in the Earth's atmosphere and are quite difficult to detect from space. The detection of multilayer clouds is important to better understand how they interact with the light and their impact on the climate. So, for the instrument MODIS an algorithm has been developed to detect those clouds, and this paper presents an evaluation of this algorithm by comparing it with other instruments.