Analysis of Characteristics of Atmospheric Structure Constant of Refractive Index Based on Wind Profiler Radar in Precipitation

  • Yating LiEmail author
  • Debin Su
  • Xingang Fan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)


The atmospheric structure constant of refractive index is an important parameter to describe the turbulent characteristics of the atmosphere. Using the ROBS data obtained by the Sichuan Provincial Meteorological Bureau in the Yanyuan, Dayi, Xinjin, Xindu, and Longquanyi districts, the real-time sampling of ROBS data combined with the hourly precipitation data provided by conventional meteorological observation stations was used for statistical analysis. Study the change trend of atmospheric structure constant of refractive index in the precipitation process in different regions. The results show that the convective movement during the precipitation process and the drag effect of the precipitation particles on the surrounding atmosphere, with the occurrence and development of the precipitation process, atmospheric structure constant of refractive index has a significant increasing trend, indicating the significance of precipitation. The vertical velocity and \( C_{n}^{2} \) are consistent with the change of precipitation, which can better reflect the change of precipitation intensity. The \( C_{n}^{2} \) value corresponding to the maximum precipitation time is two to five orders larger than that before and after the occurrence of precipitation.


Atmospheric structure constant of refractive index Wind profile radar Precipitation Characteristic analysis 



Thanks to Sichuan Province Bureau of Meteorology for providing wind profile data, thanks to Chengdu University of Information Technology, Chengdu University of Geosciences, based on a dense ground-based observation network for nowcasting technology research project (Grant No. KYTZ201529), and Beijing Normal University’s mesoscale meteorological observation network for surface rainfall observation and simulation. Project (Grant No. 2015H12) Funding.


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Chengdu University of Information TechnologyChengduChina

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