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Combining Non-local Scalings with a TKE Closure for Mixing in Boundary-layer Clouds

机译:将非局部缩放与TKE闭包相结合以在边界层云中混合

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摘要

A new approach to the parametrization of the cumulus-capped boundary layer is described. It combines a traditional higher-order turbulence closure, appropriate for boundary layers where the skewness of thermodynamic variable probability distributions is low (typically stratocumulus-capped), with non-local scaled similarity functions. These are introduced in order to represent explicitly that part of the distribution arising from skewed cumulus elements and the scalings are found to work very well against equilibrium shallow cumulus large-eddy simulations. Results from a wide range of single column model simulations, from stratocumulus to shallow cumulus to cumulus rising into stratocumulus, are presented that demonstrate the validity of the approach as a means of parametrizing the cloudy boundary layer. Sensitivity tests show that enhancement of the turbulence length scales and the buoyancy production of TKE are especially important.
机译:描述了一种新的参数化积云边界层的方法。它结合了适用于边界层的传统高阶湍流闭塞,其中热力学可变概率分布的偏斜度较低(通常为平层积云),边界层具有非局部比例相似函数。引入这些参数是为了明确表示偏斜积云元素和比例缩放产生的部分分布对平衡浅积云大涡模拟非常有效。提出了从单层模型到浅层积云到上升到层积云的大量单列模型模拟的结果,这些结果证明了该方法作为参数化多云边界层的一种手段的有效性。敏感性测试表明,湍流长度尺度的增加和TKE的浮力产生尤为重要。

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