Assessment of Ionospheric Correction Algorithm Based on Data Ingestion during Ionospheric Storm

This paper presents an ionospheric correction algorithm based on data ingestion, which is realized by updating the driving parameters of the model with GNSS TEC. The ionospheric correction algorithm is evaluated by comparison between observation results and model results which are calculated based on the previous day vertical TEC data-driven model and the previous 15min vertical TEC data-driven model from July 14
^th
to July 19
^th
, 2012. The evaluation results show that during the ionospheric storm, the average RMS of the driving model based on the vertical TEC of the previous 15 minutes is 3.2 TECU, which is much smaller than that of the driving model based on the vertical TEC of the previous day, which is 14.1 TECU. Therefore, a higher update rate of ionospheric driving parameters should be used to correct the ionosphere delay during ionospheric storm.