GSTDTAP  > 地球科学
DOI10.1175/JAS-D-18-0177.1
A General Method for Estimating Bulk 2D Projections of Ice Particle Shape: Theory and Applications
Dunnavan, Edwin L.; Jiang, Zhiyuan
2019
发表期刊JOURNAL OF THE ATMOSPHERIC SCIENCES
ISSN0022-4928
EISSN1520-0469
出版年2019
卷号76期号:1页码:305-332
文章类型Article
语种英语
国家USA
英文摘要

The orientation of falling ice particles directly influences estimates of microphysical and radiative bulk quantities as well as in situ retrievals of size, shape, and mass. However, retrieval efforts and bulk calculations often incorporate very basic orientations or ignore these effects altogether. To address this deficiency, this study develops a general method for projecting bulk distributions of particle shape for arbitrary orientations. The Amoroso distribution provides the most general bulk aspect ratio distribution for gamma-distributed particle axis lengths. The parameters that govern the behavior of this aspect ratio distribution depend on the assumed relationship between mass, maximum dimension, and aspect ratio. Individual spheroidal geometry allows for eccentricity quantities to linearly map onto ellipse analogs, whereas aspect ratio quantities map nonlinearly. For particles viewed from their side, this analytic distinction leads to substantially larger errors in projected aspect ratio than for projected eccentricity. Distribution transformations using these mapping equations and numerical integration of projection kernels show that both truncation of size distributions and changes in Gaussian dispersion can alter the modality and shape of projection distributions. As a result, the projection process can more than triple the relative entropy between the spheroidal and projection distributions for commonly assumed model and orientation parameters. This shape uncertainty is maximized for distributions of highly eccentric particles and for particles like aggregates that are thought to fall with large canting-angle deviations. As a result, the methods used to report projected aspect ratios and the corresponding values should be questioned.


英文关键词Cloud microphysics Ice crystals Ice particles Aircraft observations In situ atmospheric observations Model comparison
领域地球科学
收录类别SCI-E
WOS记录号WOS:000454864600001
WOS关键词ADAPTIVE HABIT PREDICTION ; IN-SITU OBSERVATIONS ; MICROPHYSICS PARAMETERIZATION ; WATER-CONTENT ; SCATTERING PROPERTIES ; SIZE DISTRIBUTIONS ; SNOW CRYSTALS ; ASPECT RATIOS ; SYSTEM SHIPS ; CLOUDS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/29642
专题地球科学
作者单位Penn State Univ, University Pk, PA 16802 USA
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Dunnavan, Edwin L.,Jiang, Zhiyuan. A General Method for Estimating Bulk 2D Projections of Ice Particle Shape: Theory and Applications[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2019,76(1):305-332.
APA Dunnavan, Edwin L.,&Jiang, Zhiyuan.(2019).A General Method for Estimating Bulk 2D Projections of Ice Particle Shape: Theory and Applications.JOURNAL OF THE ATMOSPHERIC SCIENCES,76(1),305-332.
MLA Dunnavan, Edwin L.,et al."A General Method for Estimating Bulk 2D Projections of Ice Particle Shape: Theory and Applications".JOURNAL OF THE ATMOSPHERIC SCIENCES 76.1(2019):305-332.
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