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DOI | 10.1175/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
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
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 |
推荐引用方式 GB/T 7714 | 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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