Prediction of Total Ionospheric Electron Content Based on Informer
The ionosphere affects the propagation and reflection of satellite navigation and communication signals,and the Total Electron Content(TEC)in the ionosphere is a key indicator for assessing ionospheric disturbances.Therefore,accurate prediction of ionospheric TEC is of great significance.In this study,we obtain global ionospheric TEC time series data from the International GNSS Service(IGS)Ionospheric Analysis Center for the years 1999-2011,with a time resolution of 2 hours.We select five locations and build an Informer model to forecast TEC data for the next 24 hours,providing a scientific basis for studying ionospheric distur-bances.Among the various models compared,the Informer model demonstrates the best performance in terms of R-Squared and RMSE,confirming the feasibility of the Informer method.