论文标题
垂直解决的MSE框架突出了边界层在对流自聚集中的作用
A Vertically Resolved MSE Framework Highlights the Role of the Boundary Layer in Convective Self-Aggregation
论文作者
论文摘要
对流自聚集是指随机对流可以在云溶解模型中温度均匀的海面上自我组织成大规模簇的现象。先前的文献研究主要是通过分析垂直整合（VI）湿能（MSE）方差来对流聚集。这就是全球MSE差异，包括给定高度的局部MSE差异以及不同高度之间MSE异常的协方差。在这里，我们提出了一个垂直解决的（VR）MSE框架，该框架着眼于本地MSE方差，以研究对流自我聚集。使用云解析模拟，我们表明自我聚集的发展与局部MSE方差的增加有关，并且MSE方差的绝热和绝热产生主要由边界层（BL）支配。结果与最近的数值模拟结果一致，并且可用的势能分析表明BL在自我聚集的发展中起关键作用。我们进一步介绍了全球和本地MSE方差框架在其数学表述和诊断结果中的详细比较，突出了它们的差异。
Convective self-aggregation refers to a phenomenon in which random convection can self-organize into large-scale clusters over an ocean surface with uniform temperature in cloud-resolving models. Previous literature studies convective aggregation primarily by analyzing vertically integrated (VI) moist static energy (MSE) variance. That is the global MSE variance, including both the local MSE variance at a given altitude and the covariance of MSE anomalies between different altitudes. Here we present a vertically resolved (VR) MSE framework that focuses on the local MSE variance to study convective self-aggregation. Using a cloud-resolving simulation, we show that the development of self-aggregation is associated with an increase of local MSE variance, and that the diabatic and adiabatic generation of the MSE variance is mainly dominated by the boundary layer (BL). The results agree with recent numerical simulation results and the available potential energy analyses showing that the BL plays a key role in the development of self-aggregation. We further present a detailed comparison between the global and local MSE variance frameworks in their mathematical formulation and diagnostic results, highlighting their differences.
