Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JAS-D-17-0145.1 |
Determination of the Ice Particle Size Distributions Using Observations as the Integrated Constraints | |
Yano, Jun-Ichi1; Heymsfield, Andrew J.2; Bansemer, Aaron2 | |
2018-03-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2018 |
卷号 | 75期号:3页码:787-804 |
文章类型 | Article |
语种 | 英语 |
国家 | France; USA |
英文摘要 | The possibility is suggested of estimating particle size distributions (PSD) solely based on the bulk quantities of the hydrometeors. The method, inspired by the maximum entropy principle, can be applied to any predefined general PSD form as long as the number of the free parameters is equal to or less than that of the bulk quantities available. As long as an adopted distribution is "physically based,'' these bulk characterizations can recover a fairly accurate PSD estimate. This method is tested for ice particle measurements from the Tropical Composition, Cloud and Climate Coupling Experiment (TC4). The total particle number, total mass, and mean size are taken as bulk quantities. The gamma distribution and two distributions obtained under the maximum entropy principle by taking the size and the particle mass, respectively, as a restriction variable are adopted for fit. The fitting error for the two maximum entropy-based distributions is comparable to that of a standard direct fitting method with the gamma distribution. The same procedure works almost equally well when the mean size is removed from the constraint, especially for an exponential distribution. The results suggest that the total particle number and the total mass of the hydrometeors are sufficient for determining the PSD to a reasonable accuracy when a "physically based'' distribution is assumed. In addition to the in situ cloud measurements, remote sensing measurements such as those from radar as well as satellite can be adopted as physical constraints. Possibilities of exploiting different types of measurements should be further pursued. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000429576900005 |
WOS关键词 | COUNTERFLOW VIRTUAL IMPACTOR ; IN-SITU OBSERVATIONS ; MOMENT ESTIMATORS ; WATER-CONTENT ; DISTRIBUTION PARAMETERS ; RADAR MEASUREMENTS ; TROPICAL CIRRUS ; CLOUDS ; PRECIPITATION ; TEMPERATURES |
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/29586 |
专题 | 地球科学 |
作者单位 | 1.CNRS, Meteo France, CNRM, UMR 3589, Toulouse, France; 2.NCAR, Boulder, CO USA |
推荐引用方式 GB/T 7714 | Yano, Jun-Ichi,Heymsfield, Andrew J.,Bansemer, Aaron. Determination of the Ice Particle Size Distributions Using Observations as the Integrated Constraints[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(3):787-804. |
APA | Yano, Jun-Ichi,Heymsfield, Andrew J.,&Bansemer, Aaron.(2018).Determination of the Ice Particle Size Distributions Using Observations as the Integrated Constraints.JOURNAL OF THE ATMOSPHERIC SCIENCES,75(3),787-804. |
MLA | Yano, Jun-Ichi,et al."Determination of the Ice Particle Size Distributions Using Observations as the Integrated Constraints".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.3(2018):787-804. |
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