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

机译：云的重心-分析对流云发展的紧凑方法

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As cloud resolving models become more detailed, with higher resolutionoutputs, it is often complicated to isolate the physical processes thatcontrol the cloud attributes. Moreover, due to the high dimensionality andcomplexity of the model output, the analysis and interpretation of theresults can be very complicated. Here we suggest a novel approach toconvective cloud analysis that yields more insight into the physical andtemporal evolution of clouds, and is compact and efficient. The different(3-D) cloud attributes are weighted and projected onto a single point inspace and in time, that has properties of, or similar to, the Center OfGravity (COG). The location, magnitude and spread of this variable arefollowed in time. The implications of the COG approach are demonstrated fora study of aerosol effects on a warm convective cloud. We show that inaddition to reducing dramatically the dimensionality of the output, such anapproach often enhances the signal, adds more information, and makes thephysical description of cloud evolution clearer, allowing unambiguouscomparison of clouds evolving in different environmental conditions. Thisapproach may also be useful for analysis of cloud data retrieved fromsurface or space-based cloud radars.
机译：随着云解析模型变得更加详细，输出分辨率更高，隔离控制云属性的物理过程通常变得很复杂。此外，由于模型输出的高维度和复杂性，结果的分析和解释可能会非常复杂。在这里，我们提出了一种对流云分析的新颖方法，该方法可以更深入地了解云的物理和时间演化，并且紧凑高效。对不同的（3-D）云属性进行加权并按时间投影到具有重心（COG）或与之相似的单点空间中。该变量的位置，大小和范围随时间变化。 COG方法的意义已被证明用于研究气溶胶对温暖对流云的影响。我们表明，除了显着降低输出的维数之外，这种方法还经常增强信号，添加更多信息，并使对云演化的物理描述更加清晰，从而可以对在不同环境条件下演化的云进行明确的比较。该方法对于分析从地面或基于空间的云雷达中检索到的云数据也可能有用。

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