The effects of turbulence on the microphysics of mixed‐phase deep convective clouds investigated with a 2‐D cloud model with spectral bin microphysics

Benmoshe, Nir; Хаин, А.

doi:10.1002/2013jd020118

Cited by 16 publications

(35 citation statements)

References 49 publications

(84 reference statements)

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“…Detailed comparisons of the turbulence statistical models used in these studies and DNS models are given in Grabowski and Wang []. Unlike Benmoshe and Khain [], this study apply TICE only to drop‐drop collisions and drop‐graupel collisions because the turbulent flows near ice crystals or snow aggregates, which have very irregular shapes, are highly uncertain.…”

Section: Model Description and Experimental Setupsupporting

confidence: 92%

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Effects of turbulence on mixed‐phase deep convective clouds under different basic‐state winds and aerosol concentrations

2014

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The effects of turbulence-induced collision enhancement (TICE) on mixed-phase deep convective clouds are numerically investigated using a 2-D cloud model with bin microphysics for uniform and sheared basic-state wind profiles and different aerosol concentrations. Graupel particles account for the most of the cloud mass in all simulation cases. In the uniform basic-state wind cases, graupel particles with moderate sizes account for some of the total graupel mass in the cases with TICE, whereas graupel particles with large sizes account for almost all the total graupel mass in the cases without TICE. This is because the growth of ice crystals into small graupel particles is enhanced due to TICE. The changes in the size distributions of graupel particles due to TICE result in a decrease in the mass-averaged mean terminal velocity of graupel particles. Therefore, the downward flux of graupel mass, and thus the melting of graupel particles, is reduced due to TICE, leading to a decrease in the amount of surface precipitation. Moreover, under the low aerosol concentration, TICE increases the sublimation of ice particles, consequently playing a partial role in reducing the amount of surface precipitation. The effects of TICE are less pronounced in the sheared basic-state wind cases than in the uniform basic-state wind cases because the number of ice crystals is much smaller in the sheared basic-state wind cases than in the uniform basic-state wind cases. Thus, the size distributions of graupel particles in the cases with and without TICE show little difference.

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Section: Model Description and Experimental Setupsupporting

confidence: 92%

“…Using a 2‐D cloud model with bin microphysics, Benmoshe et al . [] and Benmoshe and Khain [] investigated the effects of turbulence on mixed‐phase deep convective clouds with varying aerosol concentrations. Benmoshe et al .…”

Section: Introductionmentioning

confidence: 99%

Effects of turbulence on mixed‐phase deep convective clouds under different basic‐state winds and aerosol concentrations

2014

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“…To analyze precipitation efficiency, cloud microphysical property need to be explored properly. There are several factors like turbulence (Benmoshe and Khain, 2014;Lee et al, 2014), collision rate, terminal velocity etc. need to be considered.…”

Section: Discussionmentioning

confidence: 99%

Cloud — Aerosol interaction during lightning activity over land and ocean: Precipitation pattern assessment

Pal

Chaudhuri

Chowdhury

et al. 2016

Asia-Pacific J Atmos Sci

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The present study attempts to identify the land -ocean contrast in cloud -aerosol relation during lightning and non-lightning days and its effect on subsequent precipitation pattern. The thermal hypothesis in view of Convective Available Potential Energy (CAPE) behind the land -ocean contrast is observed to be insignificant in the present study region. The result shows that the lightning activities are significantly and positively correlated with aerosols over both land and ocean in case of low aerosol loading whereas for high aerosol loading the correlation is significant but, only over land. The study attempts to comprehend the mechanism through which the aerosol and lightning interact using the concept of aerosol indirect effect that includes the study of cloud effective radius, cloud fraction and precipitation rate. The result shows that the increase in lightning activity over ocean might have been caused due to the first aerosol indirect effect, while over land the aerosol indirect effect might have been suppressed due to lightning. Thus, depending on the region and relation between cloud parameters it is observed that the precipitation rate decreases (increases) over ocean during lightning (non-lightning) days. On the other hand during non-lightning days, the precipitation rate decreases over land.

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“…Local dissipation rates of shallow cumulus clouds in the incipient or decaying region are usually moderate, with values around 10-100 cm 2 s 23 (Seifert et al 2010). Numerical studies show that the highest local dissipation rates can sometimes reach a few thousand at some regions of clouds (Franklin 2014;Benmoshe and Khain 2014). Therefore, the EDR used here spanned the range from 50 to 1500 cm 2 s 23 .…”

Section: ) Expansion Of the Domain Size: Mpi Technique And Validationmentioning

confidence: 99%

Cloud Droplet Collisions in Turbulent Environment: Collision Statistics and Parameterization

Chen

Bartello

Yau

et al. 2016

Journal of the Atmospheric Sciences

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The purpose of this paper is to quantify the influence of turbulence in collision statistics by separately studying the impacts of computational domain sizes, eddy dissipation rates (EDRs), and droplet sizes and eventually to develop an accurate parameterization of collision kernels. Direct numerical simulations (DNS) were performed with a relatively wide range of EDRs and Taylor microscale Reynolds numbers R l . EDR measures the turbulence intensity levels. DNS model studies have simulated homogeneous turbulence in a small domain in the cloud's adiabatic core. Clouds clearly have much larger scales than current DNS can simulate. For this reason, it is emphasized that R l obtained from current DNS is fundamentally only a measure of the computational domain size for a given EDR and cannot completely describe the physical properties of cloud turbulence. Results show that the collision statistics are independent of the domain sizes and hence of the computational R l for droplet sizes no bigger than 25 mm as long as the droplet separation distance, which is on the order of the Kolmogorov scale in real clouds, is resolved. Instead, they are found to be highly correlated with EDRs and droplet sizes, and this correlation is used to formulate an improved parameterization scheme. The new scheme well represents the turbulent geometric collision kernel with a relative uncertainty of 14%. A comparison between different parameterizations is made, and the formulas proposed here are shown to improve the fit to the collision statistics.

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The effects of turbulence on the microphysics of mixed‐phase deep convective clouds investigated with a 2‐D cloud model with spectral bin microphysics

Cited by 16 publications

References 49 publications

Effects of turbulence on mixed‐phase deep convective clouds under different basic‐state winds and aerosol concentrations

Effects of turbulence on mixed‐phase deep convective clouds under different basic‐state winds and aerosol concentrations

Cloud — Aerosol interaction during lightning activity over land and ocean: Precipitation pattern assessment

Cloud Droplet Collisions in Turbulent Environment: Collision Statistics and Parameterization

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