Evolution of Raindrops in an Axisymmetric Cumulus Model

Shiino, Junichi

doi:10.2151/jmsj1965.61.4_629

Cited by 13 publications

(3 citation statements)

References 46 publications

(36 reference statements)

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“…Therefore at t = 1200 s the BULK simulation shows larger values of L, thus inducing larger θ due to the release of latent heat and consequently larger w and e. On the other hand, at t = 1600 s, L in BULK becomes smaller than in that LCM, because droplet growth by collision at a later stage makes the evaporation in LCM smaller than that in BULK. A similar contrast is also found in the comparison of cumulus cloud models with the one-moment bulk model and spectral bin models [14,53].…”

Section: Cloud Evolutionsupporting

confidence: 76%

“…Both models reproduce the typical pattern of an idealized single convective cloud (e.g. [11,12,14,[53][54][55]). At t = 1200 s the cross section of the vertical velocity shows the dipole pattern associated with a rising air bubble.…”

Section: Cloud Evolutionmentioning

confidence: 73%

“…To solve the SCE, the droplet spectrum must be discretized into bins. If the number of bins is not sufficient, the spectral bin method suffers from the numerical diffusion of the droplet spectrum, which leads to an earlier onset of rainfall [3,14]. On the other hand, the computational cost for calculating the SCE at every grid point with a sufficiently large number of bins becomes insurmountably high.…”

Section: Introductionmentioning

confidence: 99%

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A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision

2012

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In this paper, a new Lagrangian cloud model (LCM) is introduced in which the flow field is simulated by large-eddy simulation, and the droplets are treated as Lagrangian particles responding to the simulated flow field. In order to handle the extremely large number of droplets within a cloud, the concept of a super-droplet, which represents a large number of real droplets of the same size, is introduced, and the number of contributing real droplets is called the weighting factor. A novel method is developed to realize the collision/coalescence of droplets, in which the consequent variation of the droplet spectrum is represented in terms of the modification of the radius and weighting factor of super-droplets, while keeping the number of super-droplets unchanged. Using an idealized single cloud and trade wind cumuli, the LCM is shown to reproduce the general features of shallow cumulus clouds in agreement with traditional bulk models. The droplet spectrum simulated by the LCM, using collision kernels with and without the effects of turbulence, also shows a pattern consistent with the spectral bin model. Furthermore, the sensitivity of the LCM to two model parameters, the time step and the number of super-droplets, is examined.

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Section: Cloud Evolutionsupporting

confidence: 76%

Section: Cloud Evolutionmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

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A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision

2012

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Models of Clouds, Precipitation and Storms

Flossmann

2005

Encyclopedia of Hydrological Sciences

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Clouds play an important role for life on earth. Apart from influencing, for example, the radiative balance of the atmosphere and the lifetime of atmospheric trace constituents, they are the essential element in the hydrological cycle. Clouds transport the evaporated water of the oceans to the continents where the precipitation releases the water load. This release of water can be more or less vigorous depending on the energy stored in the cloud in the form of condensed hydrometeors (liquid or solid). This energy depends on the amount of available moisture and the way the vertical lifting necessary for cloud formation proceeds. We distinguish here mainly two different forms with varying extensions on the horizontal scale: the gentle uplift associated to the large-scale lifting, for example at a frontal zone, and the vigorous small-scale ascent associated with convection, knowing that also mixed forms of the lifting occur. This article provides an introduction to the complex subject of modeling clouds, the production of precipitation, and the development of cloud and storm systems. The elements intervening in cloud modeling are exposed, starting from a description of the physical phenomena. On the basis of the occurring scale problem, a number of approaches for simplification are presented. These simplifications concern the dynamics as well as the microphysics. Bulk and bin modeling approaches are explained, as well as cumulus parameterizations. Some numerical problems are discussed. This approach gives an insight into current state-of-the-art cloud modeling and the necessary balance between the degree of parameterization, the number of physical and chemical processes relevant to a particular problem, and the available computing resources. Encyclopedia of Hydrological Sciences. Edited by M. Anderson.

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Models of Clouds, Precipitation, and Storms

Flossmann

Wobrock

2019

Encyclopedia of Water

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Clouds play an important role for life on earth. Apart from influencing, for example, the radiative balance of the atmosphere and the lifetime of atmospheric trace constituents, they are the essential element in the hydrological cycle. Clouds transport the evaporated water of the oceans to the continents where the precipitation releases the water load. This release of water can be more or less vigorous depending on the energy stored in the cloud in the form of condensed hydrometeors (liquid or solid). This energy depends on the amount of available moisture and the way the vertical lifting necessary for cloud formation proceeds. We distinguish here mainly two different forms with varying extensions on the horizontal scale: the gentle uplift associated to the large-scale lifting, for example at a frontal zone, and the vigorous small-scale ascent associated with convection, knowing that also mixed forms of the lifting occur.This article provides an introduction to the complex subject of modeling clouds, the production of precipitation, and the development of cloud and storm systems. The elements intervening in cloud modeling are exposed, starting from a description of the physical phenomena. On the basis of the occurring scale problem, a number of approaches for simplification are presented. These simplifications concern the dynamics as well as the microphysics. Bulk and bin modeling approaches are explained, as well as cumulus parameterizations. Some numerical problems are discussed. This approach gives an insight into current state-of-the-art cloud modeling and the necessary balance between the degree of parameterization, the number of physical and chemical processes relevant to a particular problem, and the available computing resources.Encyclopedia of Hydrological Sciences. Edited by M. Anderson.

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Evolution of Raindrops in an Axisymmetric Cumulus Model

Abstract: A numerical simulation study on

Cited by 13 publications

References 46 publications

A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision

A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision

Models of Clouds, Precipitation and Storms

Models of Clouds, Precipitation, and Storms

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