Literature DB >> 19257039

Modeling snow-crystal growth: a three-dimensional mesoscopic approach.

Janko Gravner1, David Griffeath.   

Abstract

We introduce a three-dimensional, computationally feasible, mesoscopic model for snow-crystal growth, based on diffusion of vapor, anisotropic attachment, and a boundary layer. Several case studies are presented that faithfully replicate most observed snow-crystal morphology, an unusual achievement for a mathematical model. In particular, many of the most striking physical specimens feature both facets and branches, and our model provides an explanation for this phenomenon. We also duplicate many other observed traits, including ridges, ribs, sandwich plates, and hollow columns, as well as various dynamic instabilities. The concordance of observed phenomena suggests that the ingredients in our model are the most important ones in the development of physical snow crystals.

Year:  2009        PMID: 19257039     DOI: 10.1103/PhysRevE.79.011601

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Retrieval of Snow Properties for Ku- and Ka-band Dual-Frequency Radar.

Authors:  Liang Liao; Robert Meneghini; Ali Tokay; Larry F Bliven
Journal:  J Appl Meteorol Climatol       Date:  2016-08-31       Impact factor: 2.923

  1 in total

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