地基GNSS反演PWV在极端天气中的应用

Application of Ground-Based GNSS Inversion PWV in Extreme Weather

利用GAMIT/GLOBK软件解算了香港5个CORS站2018年一年的数据,反演得到了HKOH、HKST、HKNP、HKWS、T430,五个站的可降水汽含量数据,与香港探空站45004数据进行分析验证,并做了相关性分析,得到两者的相关性高达0.95,证明了地基GNSS反演可降水汽的可行性;并结合2018年9月16号台风“山竹”在香港地区过境前后降雨量的变化进行了分析,得出了地基GNSS在极端天气中应用的可行性,并且在时间分辨率上效果比探空数据要好;利用BP神经网络模型对降雨进行了预测,在已知PWV数据的前提下,能快速的得到降水发生的时间段。

Using GAMIT/GLOBK software,the data of five CORS stations in Hong Kong in 2018 are calculated,and the data of precipitable vapor content of five stations,namely,HKOH,HKST,HKNP,HKWS,T430,are retrieved.The data are analyzed and verified with the data of Hong Kong sounding station 45004,and the correlation analysis is made.The correlation between the two is as high as 0.95,which proves the feasibility of ground-based GNSS inversion of precipitable vapor.In combination with September 2018 Based on the analysis of rainfall changes before and after Typhoon“Shanzhu”passed through Hong Kong,the feasibility of application of GNSS in extreme weather is obtained,and the effect is better than that of sounding data in time resolution;the rainfall is predicted by BP neural network model,and the time period of rainfall occurrence can be quickly obtained on the premise of known PWV data.