Research on Raindrop Spectrum Inversion Based on t-min Cumulative Rainfall Rate Time Series

Abstract

Rainfall attenuation is an important factor that affects and restricts 5G millimeter wave mobile communications. However, evaluating the propagation effect in the rainfall environment requires analyzing the statistical characteristics of the 1-min cumulative rainfall rate, but directly obtaining the 1-min cumulative rainfall rate data will consume a lot of manpower and material resources. Therefore, it is of great significance to convert t-min cumulative rainfall rate to 1-min cumulative rainfall rate. At the same time, because the raindrop spectrum contains the distribution characteristics of the cumulative rainfall rate, the inversion of the raindrop spectrum based on the cumulative rainfall rate time series is a key step to achieve the conversion of the rainfall rate. In this paper, based on the collected 10-min and 1-min cumulative rainfall rate time series, the raindrop particle diameter and sedimentation velocity are classified and quantified, so as to realize the inversion of the raindrop spectrum. The research results show that the distribution of rainfall particle number density can reflect the evolution characteristics and volatility of the cumulative rainfall rate, and is an important factor influencing the change of the rainfall rate at different cumulative times.