Articles | Volume 18, issue 22
https://doi.org/10.5194/acp-18-16619-2018
https://doi.org/10.5194/acp-18-16619-2018
Research article
 | 
23 Nov 2018
Research article |  | 23 Nov 2018

Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud

Yuichi Kunishima and Ryo Onishi

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Cited articles

Ayala, O., Grabowski, W. W., and Wang, L.-P.: A hybrid approach for simulating turbulent collisions of hydrodynamically-interacting particles, J. Comput. Phys., 225, 51–73, https://doi.org/10.1016/j.jcp.2006.11.016, 2007. a, b
Chen, S., Yau, M. K., and Bartello, P.: Turbulence Effects of Collision Efficiency and Broadening of Droplet Size Distribution in Cumulus Clouds, J. Atmos. Sci., 75, 203–217, https://doi.org/10.1175/JAS-D-17-0123.1, 2018. a
Dziekan, P. and Pawlowska, H.: Stochastic coalescence in Lagrangian cloud microphysics, Atmos. Chem. Phys., 17, 13509–13520, https://doi.org/10.5194/acp-17-13509-2017, 2017. a
Grabowski, W. W. and Wang, L.-P.: Growth of Cloud Droplets in a Turbulent Environment, Annu. Rev. Fluid Mech., 45, 293–324, https://doi.org/10.1146/annurev-fluid-011212-140750, 2013. a
Houze, R. A.: Cloud Dynamics, vol. 53 of International Geophysics, Academic Press, 1993. a
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This paper shows the tracking simulation of motions and growth of the entire cloud particles, including aerosols and rain drops, in vertically developing clouds. A cutting-edge direct simulation code (i.e., the Lagrangian cloud simulator) has been run for an extremely vertically elongated three-dimensional domain, with 1 cm in width and 3 km in depth. This unique domain makes the computation-demanding simulation feasible and has led to the success of the present full tracking simulation.
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