Some of the problems that can be solved by using the presented tool are (1) Disentangling the role of meteorology and aerosols on the development of precipitation (i.e., cloud depth versus droplet concentrations as a limiting factor for drizzle initiation). The cloud top heights are retrieved directly from CALIPSO, whereas the cloud bases are estimated by a reverse accumulation (top to bottom) of the adiabadic cloud water to achieve the MODIS retrieved liquid water path at the points where clouds have maximum optical depth. CloudSat radar reflectivity provides estimation of the drizzle rates. (2) Determining whether the cloud layer is coupled or decoupled from the ocean surface layer. This has implications regarding the dynamical feedbacks of drizzle on the cloud regimes. (3) Identifying the type of precipitation, i.e., initiation of precipitation from the main mode of the droplet size distribution by giant CCN or drizzle. Such discrimination is possible by the difference of the MODIS cloud top effective radius that is retrieved from channels 2.1 and 3.7 µm. Examples will be shown together with their physical interpretation.