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Cloud's center of Gravity-A compact approach to analyze convective cloud development

机译：云的重心-一种分析对流云发展的紧凑方法

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摘要

As cloud resolving models become more detailed, with higher resolution outputs, it is often complicated to isolate 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 results can be very complicated. Here we suggest a novel approach 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 reducing dramatically the dimensionality of the output, such an approach often enhances the signal, adds more information, and makes the physical description of cloud evolution clearer, allowing unambiguous comparison of clouds evolving in different environmental conditions. This approach may also be useful for analysis of cloud data retrieved from surface 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）云属性进行加权并投影到空间和时间上的单个点上，该点具有或类似于重心（COG）的属性。该变量的位置，大小和传播随时间变化。对于研究气溶胶对热对流云的影响，已证明了COG方法的意义。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，并使云演化的物理描述更加清晰，从而可以明确比较在不同环境条件下演化的云。此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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