均匀各向同性turbulence中云滴的凝结
Condensation of cloud microdroplets in homogeneous isotropic turbulence
摘要：
本文研究了小水滴在三维均匀各向同性湍流中的凝结生长。在一个简单的对流和冷凝模型中，集成了数百万液滴的动力学和生长。通过两个系列的直接数值模拟，在增加分辨率的液滴尺寸谱展宽，它被证明是增加与湍流的雷诺数。这是正确评估湍流对暖云中凝结的影响的关键点，其中雷诺数通常达到巨大的值。所获得的液滴尺寸谱展宽作为雷诺数的函数示出与尺寸参数是一致的。提出了一个概括的期望，雷诺数不可访问的DNS，产生的实际尺寸谱加宽的上限和下限。与系统大尺度相匹配的进一步DNS表明所绘制的图像的一致性，而需要额外的努力来评估这种效应对更现实的云条件下冷凝的影响。
英文摘要：
The growth by condensation of small water droplets in a three-dimensional homogeneous isotropic turbulent flow is considered. Within a simple model of advection and condensation, the dynamics and growth of millions of droplets are integrated. A droplet-size spectra broadening is obtained and it is shown to increase with the Reynolds number of turbulence, by means of two series of direct numerical simulations at increasing resolution. This is a key point towards a proper evaluation of the effects of turbulence for condensation in warm clouds, where the Reynolds numbers typically achieve huge values. The obtained droplet-size spectra broadening as a function of the Reynolds number is shown to be consistent with dimensional arguments. A generalization of this expectation to Reynolds numbers not accessible by DNS is proposed, yielding upper and lower bounds to the actual size-spectra broadening. A further DNS matching the large scales of the system suggests consistency of the picture drawn, while additional effort is needed to evaluate the impact of this effect for condensation in more realistic cloud conditions.
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