Application of Water Vapor Retrieval Data Acquired by BDS in Analysis of Typhoon

Abstract

In the paper, the data observed by the Beidou navigation satellite system (BDS), which is based on the continuously operating reference stations (CORS) of Nanning, is processed and analyzed by GAMIT 10.6 software. Also, the inverse distance weighted method (IDW) has been employed to simplify the analysis of data. Besides, the meteorological observation data of the radiosonde station in Nanning is used as an inspection standard to verify the computational accuracy and reliability of the data processing of BDS. Furthermore, combined with both the meteorological observation data of the radiosonde station and the actual rainfall, more emphases are placed on the analysis of time-series changes in precipitable water vapor (PWV) in this paper. Finally, the results show that the PWV obtained by the data inversion of BDS has good consistency with that acquired from the meteorological observation data of the radiosonde station. The overall variation trend of the PWV, which is acquired by the data inversion of BDS, not only can basically keep up with the actual rainfall before and after the typhoon passes through the territory, but also can be better applied in the early warning of extreme weather.