Littérature scientifique sur le sujet « Entrained droplet fraction »

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Articles de revues sur le sujet "Entrained droplet fraction"

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Abade, Gustavo C., Wojciech W. Grabowski, and Hanna Pawlowska. "Broadening of Cloud Droplet Spectra through Eddy Hopping: Turbulent Entraining Parcel Simulations." Journal of the Atmospheric Sciences 75, no. 10 (2018): 3365–79. http://dx.doi.org/10.1175/jas-d-18-0078.1.

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This paper discusses the effects of cloud turbulence, turbulent entrainment, and entrained cloud condensation nuclei (CCN) activation on the evolution of the cloud droplet size spectrum. We simulate an ensemble of idealized turbulent cloud parcels that are subject to entrainment events modeled as a random process. Entrainment events, subsequent turbulent mixing inside the parcel, supersaturation fluctuations, and the resulting stochastic droplet activation and growth by condensation are simulated using a Monte Carlo scheme. Quantities characterizing the turbulence intensity, entrainment rate,
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Croft, B., J. R. Pierce, R. V. Martin, C. Hoose, and U. Lohmann. "Uncertainty associated with convective wet removal of entrained aerosols in a global climate model." Atmospheric Chemistry and Physics 12, no. 22 (2012): 10725–48. http://dx.doi.org/10.5194/acp-12-10725-2012.

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Abstract. The uncertainties associated with the wet removal of aerosols entrained above convective cloud bases are investigated in a global aerosol-climate model (ECHAM5-HAM) under a set of limiting assumptions for the wet removal of the entrained aerosols. The limiting assumptions for the wet removal of entrained aerosols are negligible scavenging and vigorous scavenging (either through activation, with size-dependent impaction scavenging, or with the prescribed fractions of the standard model). To facilitate this process-based study, an explicit representation of cloud-droplet-borne and ice-
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Aliyu, Aliyu M., Almabrok A. Almabrok, Yahaya D. Baba, et al. "Prediction of entrained droplet fraction in co-current annular gas–liquid flow in vertical pipes." Experimental Thermal and Fluid Science 85 (July 2017): 287–304. http://dx.doi.org/10.1016/j.expthermflusci.2017.03.012.

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Xue, Xinzhi, and Joseph Katz. "Formation of compound droplets during fragmentation of turbulent buoyant oil jet in water." Journal of Fluid Mechanics 878 (September 4, 2019): 98–112. http://dx.doi.org/10.1017/jfm.2019.645.

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Fragmentation of a vertical buoyant silicone oil jet injected into sugar water is elucidated by refractive index matching and planar laser-induced fluorescence. Compound droplets containing multiple water droplets, some with smaller oil droplets, form regularly at jet Reynolds numbers of $Re=1358$ and 2122 and persist for at least up to 30 nozzle diameters. In contrast, they rarely appear at $Re=594$. The origin of some of the encapsulated water droplets can be traced back to the entrained water ligaments during the initial roll-up of Kelvin–Helmholtz vortices. Analysis using random forest-bas
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Korolev, A., A. Khain, M. Pinsky, and J. French. "Theoretical study of mixing in liquid clouds – Part 1: Classical concept." Atmospheric Chemistry and Physics Discussions 15, no. 21 (2015): 30211–67. http://dx.doi.org/10.5194/acpd-15-30211-2015.

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Abstract. Relationships between basic microphysical parameters are studied within the framework of homogeneous and extreme inhomogeneous mixing. Analytical expressions and numerical simulations of relationships between droplet concentration, extinction coefficient, liquid water content, and mean volume droplet size, formed at the final stage of mixing are presented. The expressions are used to identify type of mixing for in-situ observations obtained in convective clouds. The analysis suggests that for the set of observations investigated here, the interaction between cloudy and entrained envi
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Yao, Zhuosen, James E. Mungall, and Kezhang Qin. "A Preliminary Model for the Migration of Sulfide Droplets in a Magmatic Conduit and the Significance of Volatiles." Journal of Petrology 60, no. 12 (2019): 2281–316. http://dx.doi.org/10.1093/petrology/egaa005.

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Abstract A close relationship between Ni–Cu–(PGE) sulfide deposits and magmatic conduit systems has been widely accepted, but our present understanding still rests on empirical inductions that sulfide liquids are entrained during magma ascent and aggregated at hydrodynamic traps such as the opening of a conduit into a larger magma body. In this contribution, a preliminary quantitative model for the dynamics of mm-scale sulfide droplets in a vertical magmatic conduit is developed, examining such limiting parameters as the size, transport velocity and the magmas’ maximum carrying capacity for su
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MILLER, R. S., and J. BELLAN. "Direct numerical simulation of a confined three-dimensional gas mixing layer with one evaporating hydrocarbon-droplet-laden stream." Journal of Fluid Mechanics 384 (April 10, 1999): 293–338. http://dx.doi.org/10.1017/s0022112098004042.

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Direct numerical simulations are performed of a confined three-dimensional, temporally developing, initially isothermal gas mixing layer with one stream laden with as many as 7.3×105 evaporating hydrocarbon droplets, at moderate gas temperature and subsonic Mach number. Complete two-way phase couplings of mass, momentum and energy are incorporated which are based on a thermodynamically self-consistent specification of the vapour enthalpy, internal energy and latent heat of vaporization. Effects of the initial liquid mass loading ratio (ML), initial Stokes number (St0), initial droplet temperat
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Freud, E., D. Rosenfeld, M. O. Andreae, A. A. Costa, and P. Artaxo. "Robust relations between CCN and the vertical evolution of cloud drop size distribution in deep convective clouds." Atmospheric Chemistry and Physics 8, no. 6 (2008): 1661–75. http://dx.doi.org/10.5194/acp-8-1661-2008.

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Abstract. In-situ measurements in convective clouds (up to the freezing level) over the Amazon basin show that smoke from deforestation fires prevents clouds from precipitating until they acquire a vertical development of at least 4 km, compared to only 1–2 km in clean clouds. The average cloud depth required for the onset of warm rain increased by ~350 m for each additional 100 cloud condensation nuclei per cm3 at a super-saturation of 0.5% (CCN0.5%). In polluted clouds, the diameter of modal liquid water content grows much slower with cloud depth (at least by a factor of ~2), due to the larg
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Freud, E., D. Rosenfeld, M. O. Andreae, A. A. Costa, and P. Artaxo. "Robust relations between CCN and the vertical evolution of cloud drop size distribution in deep convective clouds." Atmospheric Chemistry and Physics Discussions 5, no. 5 (2005): 10155–95. http://dx.doi.org/10.5194/acpd-5-10155-2005.

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Abstract. In-situ measurements in convective clouds (up to the freezing level) over the Amazon basin show that smoke from deforestation fires prevents clouds from precipitating until they acquire a vertical development of at least 4 km, compared to only 1–2 km in clean clouds. The average cloud depth required for the onset of warm rain increased by ~350 m for each additional 100 cloud condensation nuclei per cm3 at a super-saturation of 0.5% (CCN0.5%). In polluted clouds, the diameter of modal liquid water content grows much slower with cloud depth (at least by a factor of ~2), due to the larg
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Trabold, Thomas A., and Ranganathan Kumar. "High Pressure Annular Two-Phase Flow in a Narrow Duct: Part I—Local Measurements in the Droplet Field." Journal of Fluids Engineering 122, no. 2 (2000): 364–74. http://dx.doi.org/10.1115/1.483266.

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Detailed measurements have been made in a high pressure, adiabatic (boiled at the inlet) annular flow in a narrow, high aspect ratio duct using a gamma densitometer, hot-film anemometer and high-speed video photography. Measurements of void fraction, droplet frequency, velocity, drop size, and interfacial area concentration have been made to support the three-field computational capability. An important aspect of this testing is the use of a modeling fluid (R-134a) in a vertical duct which permits visual access in annular flow. This modeling fluid accurately simulates the low liquid-to-vapor d
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