Global S&T Development Trend Analysis Platform of Resources and Environment
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, Zhaoyang1,2; Ruan, Zheng2; Wei, Ming1; Ge, Runsheng2; Li, Feng2; Ruan, Yue3 | |
2019-07-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 222页码:47-61 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
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 mu-Lambda, 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. |
英文关键词 | VPR-CFMCW Raindrop size distributions Vertical structure classification of precipitating clouds Precipitation microphysical parameters |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000463123500005 |
WOS关键词 | RADAR OBSERVATIONS ; MELTING LAYER ; PRECIPITATION ; DISDROMETER ; SPECTRA |
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/184338 |
专题 | 地球科学 |
作者单位 | 1.NUIST, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China; 2.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China; 3.Fujian Meteorol Observ, Fuzhou 350001, Fujian, Peoples R China |
推荐引用方式 GB/T 7714 | Huo, Zhaoyang,Ruan, Zheng,Wei, Ming,et al. Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW[J]. ATMOSPHERIC RESEARCH,2019,222:47-61. |
APA | Huo, Zhaoyang,Ruan, Zheng,Wei, Ming,Ge, Runsheng,Li, Feng,&Ruan, Yue.(2019).Statistical characteristics of raindrop size distribution in south China summer based on the vertical structure derived from VPR-CFMCW.ATMOSPHERIC RESEARCH,222,47-61. |
MLA | Huo, Zhaoyang,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):47-61. |
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