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首页> 外文期刊>Atmospheric chemistry and physics >The impact of fluctuations and correlations in droplet growth by collision-coalescence revisited - Part 1: Numerical calculation of post-gel droplet size distribution
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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:通过冲击结合重新判断的液滴生长中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 is a matter of broad interest, since stochastic effects are one of the possible explanations of how cloud droplets cross the size gap and form the raindrop embryos that trigger warm rain development in cumulus clouds. Most theoretical studies on this topic rely on the use of the kinetic collection equation, or the Gillespie stochastic simulation algorithm. However, the kinetic collection equation is a deterministic equation with no stochastic fluctuations. Moreover, the traditional calculations using the kinetic collection equation are not valid when the system undergoes a transition from a continuous distribution to a distribution plus a runaway raindrop embryo (known as the sol-gel transition). On the other hand, the stochastic simulation algorithm, although intrinsically stochastic, fails to adequately reproduce the large end of the droplet size distribution due to the huge number of realizations required. Therefore, the full stochastic description of cloud droplet growth must be obtained from the solution of the master equation for stochastic coalescence. In this study the master equation is used to calculate the evolution of the droplet size distribution after the sol-gel transition. These calculations show that after the formation of the raindrop embryo, the expected droplet mass distribution strongly differs from the results obtained with the kinetic collection equation. Furthermore, the low-mass bins and bins from the gel fraction are strongly anticorrelated in the vicinity of the critical time, this being one of the possible explanations for the differences between the kinetic and stochastic approaches after the sol-gel transition. Calculations performed within the stochastic framework provide insight into the inability of explicit microphysics cloud models to explain the droplet spectral broadening observed in small, warm clouds.
机译:随机波动在云液滴生长中的影响是一个广泛兴趣的问题,因为随机效应是云液滴如何交叉的可能解释之一,并形成雨滴胚胎,引发积云中的温雨发育。对本主题的大多数理论研究依赖于动力学收集方程的使用,或Gillespie随机仿真算法。然而,动力学收集方程是具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配加上的runaway雨水胚胎(称为溶胶 - 凝胶转变)时,使用动力学收集方程的传统计算无效。另一方面,随机仿真算法,尽管本质上随机,由于所需的大量的实现而无法充分地再现液滴尺寸分布的大末端。因此,必须从用于随机聚结的主方程的溶液获得云液滴生长的全部随机描述。在该研究中,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,在形成雨滴胚胎之后,预期的液滴质量分布力强烈地不同于通过动力学收集方程获得的结果。此外,从临界时段附近,凝胶级分的低质量箱和箱是强烈的,这是对溶胶 - 凝胶转变后动力学和随机方法之间的差异的可能解释之一。在随机框架内进行的计算提供了洞察明确的微妙云模型无法解释在小型温暖云中观察到的液滴光谱展览。

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