On Calculating Deposition Coefficients and Aspect-Ratio Evolution in Approximate Models of Ice Crystal Vapor Growth
On Calculating Deposition Coefficients and Aspect-Ratio Evolution in Approximate Models of Ice Crystal Vapor Growth
复制标题
冰晶气相生长近似模型中沉积系数和纵横比演化的计算
DOI:
10.1175/jas-d-18-0319.1
复制
发表时间:
2019
影响因子:
3.1
通讯作者:
Morrison, Hugh
中科院分区:
文献类型:
--
作者:
Harrington, Jerry Y.;Moyle, Alfred;Hanson, Lavender Elle;Morrison, Hugh
Models of ice crystal vapor growth require estimates of the deposition coefficientαwhen surface attachment kinetics limit growth and when ice crystal shape is predicted. Parametric models can be used to calculateαfor faceted growth as long as characteristic supersaturation values are known. However, previously published measurements of are limited to temperatures higher than −40°C. Estimates of at temperatures between −40° and −70°C are provided here through reanalysis of vapor growth data. The estimated follow the same functional temperature dependence as data taken at higher temperatures. Polynomial fits to are used as inputs to a parameterization ofαsuitable for use in cloud models. Comparisons of the parameterization with wind tunnel data show that growth at liquid saturation and constant temperatures between −3° and −20°C can be modeled by ledge nucleation for larger (hundreds of micrometers) crystals; however, comparisons with free-fall chamber data at −7°C suggest that dislocation growth may be required to model the vapor growth of small crystals (~20μm) at liquid saturation. The comparisons with free-fall chamber data also show that the parameterization can reproduce the measured pressure dependence of aspect-ratio evolution. Comparisons with a hexagonal growth model indicate that aspect-ratio evolution based on the theory of Chen and Lamb produces unrealistically fast column growth near −7°C that is mitigated if a theory based on faceted growth is used. This result indicates that the growth hypothesis used in habit-evolving microphysical models needs to be revised when deposition coefficients are predicted.
登录
查看更多内容
DOI:
--
发表时间:
1999
期刊:
影响因子:
--
作者:
Jen‐Ping Chen;D. Lamb
通讯作者:
D. Lamb
影响因子:
6.3
作者:
J. Skrotzki;P. Connolly;M. Schnaiter;H. Saathoff;O. Möhler;R. Wagner;M. Niemand;V. Ebert;T. Leisner
通讯作者:
T. Leisner
影响因子:
1.8
作者:
K. Libbrecht
通讯作者:
K. Libbrecht
DOI:
--
发表时间:
1978
期刊:
影响因子:
--
作者:
Y. Furukawa;T. Kobayashi
通讯作者:
T. Kobayashi
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
J. Harrington;K. Sulia;H. Morrison
通讯作者:
H. Morrison