Abstract：We discuss the distribution characteristics of precipitable water vapor(PWV) and the relationship between PWV and actual precipitation during two typical precipitation processes in 2018 to analyze the application of PWV in rainfall prediction. The results show that during the precipitation process, PWV distribution is consistent with actual precipitation. PWV presents indications about rainfall prediction; PWV starts to increase within 6 to 12 hours before rainfall occurs, and rises rapidly within 1 to 2 hours before precipitation occurs. When PWV increases significantly and maintains a high value, it indicates that heavy precipitation will occur. Moreover, the faster PWV changes, the greater precipitation probability and amount of precipitation. Through the sliding average treatment, the phenomenon of rapid accumulation and release of PWV before and after heavy rainfall occurrence is further proven. PWV can be used as sequence data for research and application of short-term nowcasting and weather analysis. It also provides a powerful supplement for traditional meteorological methods.
DU Aijun,ZHANG Qiang,YANG Shiqi et al. Relations between Precipitable Water Vapor Measured by Beidou CORS and Chongqing Precipitation Processes[J]. jgg, 2020, 40(2): 134-139.
