TRAIL part 2: A comprehensive assessment of ice particle fall speed parametrisations,Quarterly Journal of the Royal Meteorological Society

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TRAIL part 2: A comprehensive assessment of ice particle fall speed parametrisations
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2020-10-16 , DOI: 10.1002/qj.3936
M. W. McCorquodale _{1,

2} , C. D. Westbrook ₁

Affiliation

Results are presented from a comprehensive experimental campaign studying the aerodynamics of 3D‐printed analogues of ice particles. Measurements of the drag coefficient of the analogues were acquired by using a novel experimental approach to digitally reconstruct the analogues' trajectory and orientation as they fall through a quiescent viscous liquid, using images acquired by a series of digital cameras. The data are used to evaluate commonly used parametrisations of ice particle fall speeds. We find that the accuracy of each of the parametrisations reduces at Reynolds numbers greater than approximately 100, as a result of effects associated with the onset of unsteady oscillating, fluttering or tumbling motions as the analogues fall. We propose a new fall speed parametrisation that predicts the measured drag coefficients at high Reynolds number with an accuracy consistent with that of the leading parametrisation at low Reynolds number.

中文翻译：

TRAIL第2部分：冰粒下落速度参数的综合评估

结果来自全面的实验研究，研究了3D打印的冰粒类似物的空气动力学。使用一系列数码相机获取的图像，通过使用新颖的实验方法以数字方式重建类似物掉入静态粘性液体时的类似物的轨迹和方向，来获取类似物的阻力系数的测量值。数据用于评估冰粒下落速度的常用参数。我们发现，在大于约100的雷诺数下，每个参数的精度都会降低是由于类似物掉落时出现不稳定的摆动，颤动或翻滚运动而产生的影响的结果。我们提出了一种新的下降速度参数化方法，该方法可以预测在高雷诺数下测得的阻力系数，其精度与在低雷诺数下的领先参数化一致。

更新日期：2020-10-16

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