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. Since multilayer cloud scenes are common in the atmosphere and can be animportant source of uncertainty in passive satellite sensor cloudretrievals, the MODIS MOD06 and MYD06 standard cloud optical property productsinclude a multilayer cloud detection algorithm to assist with data qualityassessment. This paper presents an evaluation of the Aqua MODIS MYD06Collection 6 multilayer cloud detection algorithm through comparisons withactive Cloud Profiling Radar (CPR) and Cloud-Aerosol Lidar withOrthogonal Polarization (CALIOP) products that have the ability to provide cloudvertical distributions and directly classify multilayer cloud scenes andlayer properties. To compare active sensor products with an imager such asMODIS, it is first necessary to define multilayer clouds in the context oftheir radiative impact on cloud retrievals. Three main parameters have thusbeen considered in this evaluation: (1) the maximum separation distancebetween two cloud layers, (2) the thermodynamic phase of those layers and(3) the upper-layer cloud optical thickness. The impact of including thePavolonis–Heidinger multilayer cloud detection algorithm, introduced inCollection 6, to assist with multilayer cloud detection has also beenassessed. For the year 2008, the MYD06 C6 multilayer cloud detectionalgorithm identifies roughly 20 % of all cloudy pixels as multilayer(decreasing to about 13 % if the Pavolonis–Heidinger algorithm outputis not used). Evaluation against the merged CPR and CALIOP 2B-CLDCLASS-lidarproduct shows that the MODIS multilayer detection results are quitesensitive to how multilayer clouds are defined in the radar and lidar productand that the algorithm performs better when the optical thickness of theupper cloud layer is greater than about 1.2 with a minimum layer separationdistance of 1 km. Finally, we find that filtering the MYD06 cloud opticalproperties retrievals using the multilayer cloud flag improves aggregatedstatistics, particularly for ice cloud effective radius.

atmospheric measurement techniques

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