ﻻ يوجد ملخص باللغة العربية
This monograph reviews our current understanding of the physical dynamics of ice crystal growth, focusing on the spontaneous formation of complex structures from water vapor (called snow crystals) as a function of temperature, supersaturation, background gas pressure, and other extrinsic parameters. Snow crystal growth is a remarkably rich and rather poorly understood phenomenon, requiring a synthesis of concepts from materials science, crystal-growth theory, statistical mechanics, diffusion-limited solidification, finite-element modeling, and molecular surface processes. Building upon recent advances in precision measurement techniques, computation modeling methods, and molecular dynamics simulations of crystalline surfaces, I believe we are moving rapidly toward the long-sought goal of developing a full physical model of snow crystal formation, using ab initio molecular dynamics simulations to create a semi-empirical characterization of the nanoscale surface attachment kinetics, and then incorporating that into a full computational model that reproduces the growth of macroscopic crystalline structures. Section 1 of this monograph deals mainly with the material properties of ice Ih in equilibrium, including thermodynamics quantities, facet surface structures, terrace step energies, and crystal twinning behaviors.
I describe a semi-empirical molecular model of the surface attachment kinetics governing ice crystal growth from water vapor as a function of temperature, supersaturation, and crystal mesostructure. An important new hypothesis in this model is surfac
I examine a variety of snow crystal growth measurements taken at a temperature of -5 C, as a function of supersaturation, background gas pressure, and crystal morphology. Both plate-like and columnar prismatic forms are observed under different condi
I describe a new approach to the classification of snow crystal morphologies that focuses on the most common growth behaviors that appear in normal air under conditions of constant applied temperature and water-vapor supersaturation. The resulting mo
The effect of turbulence on snow precipitation is not incorporated into present weather forecasting models. Here we show evidence that turbulence is in fact a key influence on both fall speed and spatial distribution of settling snow. We consider thr
We present a field study of snow settling dynamics based on simultaneous measurements of the atmospheric flow field and snow particle trajectories. Specifically, a super-large-scale particle image velocimetry (SLPIV) system using natural snow particl