The Vertical Structural Of Precipitation Cloud And Microphysics Of Precipitation In South China Summer Based On The VPR-CFMCW

In south China,rainfall is abundant,the structure of precipitation cloud is diverse,and the spatial and temporal distribution of surface precipitation is complex.The precipitation in south China often has an impact on the rainy season in different parts of China,and has an important predictive value for China's summer drought and flood disasters.Therefore,the study of precipitation in south China is not only the interpretation of the precipitation regularity of a single region,but also plays an important role in the study of climate,cloud precipitation and other aspects.This paper is based on PARSIVEL laser raindrop spectrometer and Vertical Pointing Radar with C-band Frequency Modulation Continuous Wave(VPR-CFMCW).The fine structure of summer precipitation cloud in south China,the inversion of precipitation microphysical parameters,and the analysis of summer precipitation characteristics in south China were carried out using the high spatial and temporal resolution detection data obtained by the cloud precipitation microphysics research super observatory established by the State Key Laboratory of Severe Weather(La SW)in Longmen,Guangdong province from 2016 to 2017.Specific work includes:(1)VPR-CFMCW spectrum data processing;(2)Data quality control and precipitation parameter inversion of PARSIVEL rain drop spectrometer;(3)Raindrop spectrum gamma model function fitting method comparison and evaluation;(4)Based on the precipitation cloud vertical structure of the precipitation classification;(5)Analyze the microphysical characteristics of different precipitation types;(6)Improvement of summer precipitation estimation in south China;(7)Vertical atmospheric velocity is extracted by using radar power spectral density distribution;(8)Inversion of DSD parameters and precipitation parameters on the vertical path.After confirming the average curve is representative of the raindrop size distribution,we evaluate different fitting methods for the gamma model function and choose a nonlinear leastsquares 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(Dm),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 ?-?,Dm-Nw,Dm-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.Use of VPR-CFMCW access speed radar power spectral density distribution on the vertical atmosphericWair,mass weighted median particle size-Dm,liquid water content-LWC,DSD shape factor-?,the slope parameter-?,number concentration parameter-N0 and generalized intercept parameter-Nw parameters inversion in the vertical path,after compared with the relevance of the ground data,this method is proved to be reasonable.In the process of inversion of stratus precipitation,the atmospheric velocity presents a weak rise,and other precipitation parameters also show different changes according to different heights.