Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-12011-2017 |
Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures | |
Gergely, Mathias; Cooper, Steven J.; Garrett, Timothy J. | |
2017-10-10 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:19 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The snowflake microstructure determines the microwave scattering properties of individual snowflakes and has a strong impact on snowfall radar signatures. In this study, individual snowflakes are represented by collections of randomly distributed ice spheres where the size and number of the constituent ice spheres are specified by the snowflake mass and surface-area-to-volume ratio (SAV) and the bounding volume of each ice sphere collection is given by the snowflake maximum dimension. Radar backscatter cross sections for the ice sphere collections are calculated at X-, Ku-, Ka-, and W-band frequencies and then used to model triple-frequency radar signatures for exponential snowflake size distributions (SSDs). Additionally, snowflake complexity values obtained from high-resolution multi-view snowflake images are used as an indicator of snowflake SAV to derive snowfall triple-frequency radar signatures. The modeled snowfall triple-frequency radar signatures cover a wide range of triple-frequency signatures that were previously determined from radar reflectivity measurements and illustrate characteristic differences related to snow type, quantified through snowflake SAV, and snowflake size. The results show high sensitivity to snowflake SAV and SSD maximum size but are generally less affected by uncertainties in the parameterization of snowflake mass, indicating the importance of snowflake SAV for the interpretation of snowfall triple-frequency radar signatures. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000412648500003 |
WOS关键词 | RAYLEIGH-GANS APPROXIMATION ; NONSPHERICAL ICE PARTICLE ; AGGREGATE SNOWFLAKES ; SOLID PRECIPITATION ; ELECTROMAGNETIC SCATTERING ; INDEPENDENT SPHERES ; MICROWAVE ; WATER ; FALL ; REPRESENTATION |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/30921 |
专题 | 地球科学 |
作者单位 | Univ Utah, Dept Atmospher Sci, 135 S 1460 E Room 819, Salt Lake City, UT 84112 USA |
推荐引用方式 GB/T 7714 | Gergely, Mathias,Cooper, Steven J.,Garrett, Timothy J.. Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(19). |
APA | Gergely, Mathias,Cooper, Steven J.,&Garrett, Timothy J..(2017).Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(19). |
MLA | Gergely, Mathias,et al."Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.19(2017). |
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