Parallel Computation of a Large Number of Lagrangian Droplets in the LES of a Cumulus Cloud
I.S. Kanga; Y. Noha; S. Raaschb a Department of Atmospheric Science, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul 120-749, Koreab Institute of Meteorology and Climatology, University of Hannover, 30419, Hannover, Germany
Abstract
A LES model was developed to simulate the motion of a large number of Lagrangian particles, or droplets, in turbulent flows with an aim to the application to a cumulus cloud. A highly efficient parallel algorithm was developed in order to calculate the motion of a large number of Lagrangian particles whose number and size keep changing with time through condensation and collision. Simulation results provide various ...
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