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A Simulation Approach to the Formation of Precipitation Particles Using the Monte Carlo Method

E. Uchida, +1 more
- 01 Jan 1969 - 
- Vol. 47, Iss: 4, pp 279-291
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This article is published in Journal of the Meteorological Society of Japan.The article was published on 1969-01-01 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Dynamic Monte Carlo method & Monte Carlo method.

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Lagrangian Tracking Simulation of Droplet Growth in Turbulence–Turbulence Enhancement of Autoconversion Rate*

TL;DR: In this paper, the Lagrangian cloud simulator (LCS) is used to simulate droplet growth in air turbulence, which can provide reference data for cloud microphysical models by tracking the growth of particles individually.
Journal ArticleDOI

A Comparison of Continuous and Stochastic Methods for Modeling Rain Drop Growth in Clouds

TL;DR: In this article, two models for raindrop growth in clouds are developed and compared, and it is concluded that the stochastic model showed faster droplet accumulation and hence shorter times for drop growth.
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Stochastic growth of cloud droplets by collisions during settling

TL;DR: In this article, the authors presented an expression for the probability that a given large drop suffers a given number of collisions, for a general statistically homogeneous distribution of droplets, and used this expression to deal with the simplified problem of a large drop settling amidst a population of identical smaller droplets.

Climatological Coefficients for Rain Attenuation at Millimeter Wavelengths

TL;DR: In this paper, it was demonstrated that most of the classical raindrop-size distribution formulations give inconsistent results when used to calculate specific attenuations at millimeter-wave frequencies, and it was decided it might be desirable to subcategorize dropsize distributions on the basis of large-scale worldwide climatological zones.
References
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On the collision of drops in turbulent clouds

TL;DR: In this paper, a theory of collisions between small drops in a turbulent fluid which takes into account collisions between equal drops was proposed, and it was shown that the collision rate due to the spatial variations of turbulent velocity is N = 1.30(r_1 + r_2)^2(n_1n_2)(e | v)^(1/2), valid for r_1|r_2 between one and two.
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The spectrum of horizontal gustiness near the ground in high winds

TL;DR: In this article, a study of about 70 spectra of the horizontal components of gustiness in strong winds is described, and it appears that the cross-spectra can be expressed as a simple function of the ratio of the vertical separation to the wavelength, no dependence on height being detectable.
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Analytic Studies of Cloud Droplet Coalescence I

TL;DR: In this paper, the kinetic equation for the pure growth-by-coalescence process is solved exactly for three types of overall collection probability: proportional to the sum of droplet volumes, proportionally to the product of volume volumes, and constant.
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Cloud Droplet Growth by Collection

TL;DR: In this paper, it was shown that the rate of droplet growth is proportional to the magnitude of the kernel, and the pattern of growth depends upon a derivative of a kernel with respect to droplet size.
Journal ArticleDOI

Computations of Rain Formation by Coalescence

TL;DR: In this paper, numerical integrations were made of the statistical equations describing the evolution of droplet distributions by coalescence, and the results confirmed that increasing the droplet concentration, for the same liquid water content, greatly adds to the difficulty attending rain formation by coalesgence.
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