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As cloud resolving models become more detailed, with higher resolution outputs, it is often complicated to iso- late the physical processes that control the cloud attributes. Moreover, due to the high dimensionality and complexity of the model output, the analysis and interpretation of the re- sults can be very complicated. Here we suggest a novel ap- proach to convective cloud analysis that yields more insight into the physical and temporal evolution of clouds, and is compact and efficient. The different (3-D) cloud attributes are weighted and projected onto a single point in space and in time, that has properties of, or similar to, the Center Of Gravity (COG). The location, magnitude and spread of this variable are followed in time. The implications of the COG approach are demonstrated for a study of aerosol effects on a warm convective cloud. We show that in addition to reduc- ing dramatically the dimensionality of the output, such an ap- proach often enhances the signal, adds more information, and makes the physical description of cloud evolution clearer, al- lowing unambiguous comparison of clouds evolving in dif- ferent environmental conditions. This approach may also be useful for analysis of cloud data retrieved from surface or space-based cloud radars.

Cloud's Center of Gravity – a compact approach to analyze convective cloud development