Gaoyuan qixiang (Oct 2024)

Statistical Characteristics of Raindrop Size Distribution in the Mountainous and Plain Areas of the Ili River Valley

  • Yufei JIANG,
  • Lianmei YANG,
  • Jiangang LI,
  • Yong ZENG,
  • Zepeng TONG,
  • Jing LIU,
  • Haoyang LI,
  • Xiaomeng LI

DOI
https://doi.org/10.7522/j.issn.1000-0534.2024.00004
Journal volume & issue
Vol. 43, no. 5
pp. 1271 – 1285

Abstract

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Raindrop size distribution (RSD) is fundamental in understanding the precipitation microphysics and quantitative precipitation estimation, especially in complex terrain with complicated rainfall mechanism and high spatial and temporal variability.In this paper, the RSD characteristics of different rainfall rates and rain types in the mountainous and plain areas of the Ili River Valley during the summer of 2020 -2022 are investigated using Parsivel2 disdrometer.The results show that the precipitation in the mountainous and plain areas is mainly composed of small raindrops, and medium raindrops are the largest contribution to the rainfall rate R.Precipitation in the mountainous and plain areas mainly occurs during the late afternoon and early evening, and the concentration of large and medium-sized raindrops is higher in the mountainous areas in all time periods.The spectral width and the concentration of drops with diameters increase with increasing rainfall rate.The number concentration of medium and large particles in the mountainous areas is obviously higher than that in the plain areas during light rain and heavy rain.For the same rainfall rate and rain type, precipitation in the mountainous areas has higher mass-weighted mean diameter (Dm) and lower normalized intercept parameter (log10Nw).In addition, the convective rain spectrum in the mountainous and plain areas of the Ili River Valley tend to be “continental-like convective cluster”.It is found that there are also significant differences in the μ-Λ relationship and Z-R relationship of precipitation between the two areas, and the empirical relationship of Z =300R1.40 clearly overestimates precipitation.The results reveal the microphysical characteristics of precipitation under different terrain conditions in the Ili River Valley, and provide a reliable factual basis for the subsequent retrieval of precipitation using radar data.

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