Characteristics of Raindrop Size Distributions in Chongqing Observed by a Dense Network of Disdrometers

Xuancheng Liu, Lulin Xue, Baojun Chen, Yixuan Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This study investigates the characteristics of raindrop size distribution (RSD) including the temporal and spatial variabilities and the summer rain RSD features using 34 Parsivel disdrometers data from Jan. 2015 to Jan. 2016 in Chongqing, an inland municipality in Southwest China. The observed RSDs are fitted with the gamma distribution (N(D) = N0Dμe−λD) in this study. Rainfall in summer differs greatly from winter with larger rain rate, rain water content and variabilities. From winter to summer, raindrop sizes increase as the frequency of convective rain increases, and the diurnal variabilities of raindrop sizes are greatly enlarged. The spatial variabilities of N0, λ and μ are relatively weak and change little in summer. The summer rainfall RSD characteristics and parameter relationships in Chongqing are different from other regions (Nanjing, Beijing, Zhuhai and Daocheng) in China. A novel diagnosed relation between the shape parameter of the gamma distribution (μ) and the mean volume diameter (Dv) is proposed based on the large amount of observations, which allows for a wider range of the mean volume diameter of raindrops compared to traditional μ − λ relations in microphysics parameterizations.

Original languageEnglish
Article numbere2021JD035172
JournalJournal of Geophysical Research: Atmospheres
Volume126
Issue number24
DOIs
StatePublished - Dec 27 2021

Keywords

  • Chongqing
  • Disdrometer
  • RSD variability
  • Raindrop size distribution

Fingerprint

Dive into the research topics of 'Characteristics of Raindrop Size Distributions in Chongqing Observed by a Dense Network of Disdrometers'. Together they form a unique fingerprint.

Cite this