Author(s): Zirun Ye; Xiangbing Kong; Kai Guo; Xin Zheng

Linked Author(s):

Keywords: Commercial microwave link; Rainfall fusion; Bayesian

Abstract: In view of the existing problems of errors in wireless microwave links and sparse and uneven distribution of surface rain stations, in order to meet the needs of refined and accurate hydrometeorological monitoring, a Bayesian method was adopted to build a rainfall fusion model based on wireless microwave data and rainfall observation data of rain stations in Gothenburg, Sweden, and to study the multi-source rainfall fusion method. The results show that the Bayesian method improves the effect of radio microwave rainfall inversion; At the same time, the fusion effect is related to the type of rainfall. The fusion accuracy of heavy rain is higher than that of light rain.

DOI: https://doi.org/10.3850/iahr-hic2483430201-351

Year: 2024