Parallel computation of a large number of lagrangian droplets in the LES of a cumulus cloud

I. S. Kang, Y. Noh, S. Raasch

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Turbulence plays a critical role in cloud dynamics. A highly efficient parallel algorithm was developed to calculate the motion of a large number of Lagrangian particles whose number and size keep changing with time through condensation and collision. Meanwhile, the most important expansion of the model was made for the simulation of a large number of Lagrangian particles whose size and number keep changing with time. The newly developed particle model follows the domain-decomposition concept. Particles are handled by and stored in the memory of the processors assigned to those sub domains where the particles have been released. The entrainment of dry air into a cloud near the top increases the variability in the droplet spectra and it also causes the droplet size there by enhanced collision rate. Distribution of the variance of temperature reveals that entrainment occurs mostly at the top of a cloud initially and subsequently at the side as well at the later stage. Simulation results provide various important information of the cloud process, which was not available earlier, without introducing parameterizations. © 2007

Original languageEnglish
Title of host publicationParallel Computational Fluid Dynamics 2006
PublisherElsevier Ltd
Pages261-268
Number of pages8
ISBN (Print)9780444530356
DOIs
Publication statusPublished - 2007

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)

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    Kang, I. S., Noh, Y., & Raasch, S. (2007). Parallel computation of a large number of lagrangian droplets in the LES of a cumulus cloud. In Parallel Computational Fluid Dynamics 2006 (pp. 261-268). Elsevier Ltd. https://doi.org/10.1016/B978-044453035-6/50035-3