Abstract Atmospheric precipitable water vapor (PWV) over the station can be estimated using ground-based GPS technology. The variation characteristics of PWV have very good indicators to the predict precipitation time and falling area. Along with the atmospheric thermodynamic conditions such as temperature and pressure, we analyze the variation characteristics of timeseries and plane dynamic distribution of PWV during the rainstorm that occurred May 22-23, 2017 in Hunan province. The results show that the formation of precipitation requires strong convergence ascending of water vapor. The precipitation time and intensity can be predicted by combining thermal dynamic conditions in the case of sufficient water vapor conditions. The contrastive analysis of plane distribution maps of PWV and actual precipitation shows that the high value region of PWV basically coincides with the falling area of the rainstorm. It means that GPS-PWV has certain indicating significance to forecast the falling area of the rainstorm.
JIANG Ting,LI Li,TIAN Ying et al. Analysis of PWV Spatiotemporal Variation and Its Application to Forecast the Falling Area of Rainstorm Based on Hunan CORS[J]. jgg, 2018, 38(7): 707-713.
JIANG Ting,LI Li,TIAN Ying et al. Analysis of PWV Spatiotemporal Variation and Its Application to Forecast the Falling Area of Rainstorm Based on Hunan CORS[J]. jgg, 2018, 38(7): 707-713.