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The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 1: Numerical calculation of post-gel droplet size distribution

机译:重新探讨碰撞和凝聚对液滴生长的波动和相关性的影响第1部分:凝胶后液滴尺寸分布的数值计算

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摘要

The impact of stochastic fluctuations in cloud droplet growth isa matter of broad interest, since stochastic effects are one of the possibleexplanations of how cloud droplets cross the size gap and form the raindropembryos that trigger warm rain development in cumulus clouds. Mosttheoretical studies on this topic rely on the use of the kinetic collectionequation, or the Gillespie stochastic simulation algorithm. However, thekinetic collection equation is a deterministic equation with no stochasticfluctuations. Moreover, the traditional calculations using the kineticcollection equation are not valid when the system undergoes a transition froma continuous distribution to a distribution plus a runaway raindrop embryo(known as the sol–gel transition). On the other hand, the stochasticsimulation algorithm, although intrinsically stochastic, fails to adequately reproducethe large end of the droplet size distribution due to the hugenumber of realizations required. Therefore, the full stochastic descriptionof cloud droplet growth must be obtained from the solution of the masterequation for stochastic coalescence.In this study the master equation is used to calculate the evolution of thedroplet size distribution after the sol–gel transition. These calculationsshow that after the formation of the raindrop embryo, the expected dropletmass distribution strongly differs from the results obtained with thekinetic collection equation. Furthermore, the low-mass bins and bins fromthe gel fraction are strongly anticorrelated in the vicinity of thecritical time, this being one of the possible explanations for thedifferences between the kinetic and stochastic approaches after the sol–geltransition. Calculations performed within the stochastic framework provideinsight into the inability of explicit microphysics cloud models to explainthe droplet spectral broadening observed in small, warm clouds.
机译:随机波动对云滴生长的影响是引起广泛关注的问题,因为随机影响是云滴如何穿越大小差距并形成雨滴胚的一种可能解释,该雨滴胚触发了积云中暖雨的发展。关于该主题的大多数理论研究都依赖于动力学收集方程或吉莱斯皮随机模拟算法的使用。但是,运动收集方程是没有随机波动的确定性方程。此外,当系统经历从连续分布到分布再加上失控的雨滴胚胎(称为溶胶-凝胶转变)的转变时,使用动力学收集方程式进行的传统计算无效。另一方面,尽管随机模拟算法本质上是随机的,但由于需要大量的实现,因此未能充分再现液滴尺寸分布的较大端。因此,必须从用于随机合并的主方程的解中获得对云滴生长的完整随机描述。在本研究中,该主方程用于计算溶胶-凝胶转变后液滴尺寸分布的演变。这些计算表明,在雨滴胚胎形成之后,预期的液滴质量分布与通过动力学收集方程获得的结果存在很大差异。此外,低质量垃圾箱和凝胶馏分的垃圾箱在临界时间附近具有很强的反相关性,这是溶胶-凝胶转变后动力学方法与随机方法之间差异的可能解释之一。在随机框架内进行的计算可洞察无法通过明确的微物理学云模型来解释在小而温暖的云中观察到的液滴光谱展宽。

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