Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JAS-D-17-0111.1 |
Horizontal and Vertical Scaling of Cloud Geometry Inferred from CloudSat Data | |
Guillaume, A.; Kahn, B. H.; Yue, Q.; Fetzer, E. J.; Wong, S.; Manipon, G. J.; Hua, H.; Wilson, B. D. | |
2018-07-01 | |
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:7页码:2187-2197 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A method is described to characterize the scale dependence of cloud chord length using cloud-type classification reported with the 94-GHz CloudSat radar. The cloud length along the CloudSat track is quantified using horizontal and vertical structures of cloud classification separately for each cloud type and for all clouds independent of cloud type. While the individual cloud types do not follow a clear power-law behavior as a function of horizontal or vertical scale, a robust power-law scaling of cloud chord length is observed when cloud type is not considered. The exponent of horizontal length is approximated by beta approximate to 1.66 + 0.00 across two orders of magnitude (similar to 10-1000km). The exponent of vertical thickness is approximated by beta approximate to 2.23 +/- 0.03 in excess of one order of magnitude (similar to 1-14 km). These exponents are in agreement with previous studies using numerical models, satellites, dropsondes, and in situ aircraft observations. These differences in horizontal and vertical cloud scaling are consistent with scaling of temperature and horizontal wind in the horizontal dimension and with scaling of buoyancy flux in the vertical dimension. The observed scale dependence should serve as a guide to test and evaluate scale-cognizant climate and weather numerical prediction models. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000446625400001 |
WOS关键词 | WAVE-NUMBER SPECTRA ; DISTRIBUTIONS ; TEMPERATURE ; VARIABILITY ; INVARIANCE ; CALIPSO |
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/29267 |
专题 | 地球科学 |
作者单位 | CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA |
推荐引用方式 GB/T 7714 | Guillaume, A.,Kahn, B. H.,Yue, Q.,et al. Horizontal and Vertical Scaling of Cloud Geometry Inferred from CloudSat Data[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(7):2187-2197. |
APA | Guillaume, A..,Kahn, B. H..,Yue, Q..,Fetzer, E. J..,Wong, S..,...&Wilson, B. D..(2018).Horizontal and Vertical Scaling of Cloud Geometry Inferred from CloudSat Data.JOURNAL OF THE ATMOSPHERIC SCIENCES,75(7),2187-2197. |
MLA | Guillaume, A.,et al."Horizontal and Vertical Scaling of Cloud Geometry Inferred from CloudSat Data".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.7(2018):2187-2197. |
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