气候变化领域集成服务门户(CCPortal): Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW

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DOI	10.1016/j.atmosres.2019.01.022
	Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW
	Huo Z.; Ruan Z.; Wei M.; Ge R.; Li F.; Ruan Y.
发表日期	2019
ISSN	0169-8095
起始页码	47
结束页码	61
卷号	222
英文摘要	The raindrop size distribution (DSD) characteristics during the precipitation season are analyzed using data collected by an OTT Particle Size Velocity (Parsivel) disdrometer and a Vertical Pointing Radar with C-band Frequency Modulation Continuous Wave (VPR-CFMCW) technology. The two datasets were collected at the same site in Longmen, Guangdong Province, which is the precipitation center of south China, from June to July in 2016 and 2017. We evaluate different fitting methods for the gamma model function and choose a nonlinear least-squares method to fit DSD. Based on the radar reflectance obtained by VPR-CFMCW, the precipitating clouds that occur during the summer precipitation season in south China are classified into four types (i.e., convective, stratiform, mixture, and shallow). The characteristic parameters and the gamma model parameters of different precipitation types are compared. Avoiding the limitations of rainfall classification at the surface, the new classification quantifies the characteristics of mixture and shallow precipitation. The results show that the stratiform precipitation makes up 43.1% of the summer precipitation process in south China, and the contribution of convective precipitation to total rainfall is 62.7%. The precipitation parameters of the four types of precipitation, such as the rain rate (R), the mass-weighted mean diameter (D m ), the radar reflectance (Z), and the liquid water content (LWC), follow the pattern: convective > mixture > stratiform > shallow. The DSD characteristics of the four precipitating cloud types are investigated. For the DSD of convective and mixture precipitation, the spectra width is similar but the rain drop concentration of the mixture is smaller. For the DSD of stratiform and shallow clouds, the rain drop concentrations are similar, but the spectra width of the shallow clouds are smaller. In addition, the relationships between μ-Λ, D m -N w , D m -R, and Z-R are obtained. These new relationships will help improve the accuracy of precipitation estimation and deepen the understanding of the characteristics of surface precipitation microphysical parameters for different types of precipitating clouds in south China. © 2019
英文关键词	Precipitation microphysical parameters; Raindrop size distributions; Vertical structure classification of precipitating clouds; VPR-CFMCW
语种	英语
scopus关键词	Drops; Least squares approximations; Mixtures; Particle size; Radar; Reflection; Size distribution; Convective precipitation; Microphysical parameters; Nonlinear least squares methods; Precipitating clouds; Raindrop size distribution; Statistical characteristics; Stratiform precipitation; VPR-CFMCW; Rain; cloud classification; cloud microphysics; precipitation assessment; raindrop; size distribution; statistical analysis; summer; China
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162093
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, NUIST, Nanjing, 210044, China; State Key Lab of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; Fujian Meteorological Observatory, Fuzhou, 350001, China
推荐引用方式 GB/T 7714	Huo Z.,Ruan Z.,Wei M.,et al. Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW[J],2019,222.
APA	Huo Z.,Ruan Z.,Wei M.,Ge R.,Li F.,&Ruan Y..(2019).Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW.Atmospheric Research,222.
MLA	Huo Z.,et al."Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW".Atmospheric Research 222(2019).