We have reconstructed integrated water vapor (IWV) using the zenith wet delays to track the properties of hurricanes and explore their spatial and temporal distributions estimated from 922 GPS stations. Our results show that a surge in GPS-derived IWV occurred at least six hours prior to the landfall of two major hurricanes (Harvey and Irma) that struck the Gulf and East Coasts of the USA in 2017. We observed enhanced IWV, in particular, for the two hurricanes landfall locations. The observed variations exhibit a correlation with the precipitation value constructed from GPM/IMERG satellite mission coinciding with hurricane storm front passage. We used GPS-IWV data as inputs for spaghetti line plots for our path predictions, helping us predict the paths of Hurricanes Harvey and Irma. Hence, a directly estimable zenith wet delay sourced from GPS that has not been previously reported can serve as an additional resource for improving the monitoring of hurricane paths.

我们使用天顶湿延迟重建了综合水汽（IWV），以跟踪飓风的性质并探索从922个GPS站估计的飓风的时空分布。我们的结果显示，在2017年袭击美国墨西哥湾和美国东海岸的两次主要飓风（哈维和艾尔玛）登陆至少六小时之前，GPS产生的IWV就出现了激增。我们观察到IWV增强了，特别是，两个飓风登陆地点。观测到的变化与由GPM / IMERG卫星任务与飓风风暴前通道一致构成的降水值具有相关性。我们将GPS-IWV数据用作意大利面条线图的输入，以进行路径预测，从而帮助我们预测飓风哈维和艾尔玛的路径。因此，