UNI-MB - logo
UMNIK - logo
 
E-viri
Celotno besedilo
Recenzirano
  • Global Ionosphere Modeling ...
    Chen, Jun; Ren, Xiaodong; Yang, Pengxin; Xu, Guozhen; Huang, Liangke; Xiong, Si; Zhang, Xiaohong

    Journal of geophysical research. Space physics, October 2023, 2023-10-00, 20231001, Letnik: 128, Številka: 10
    Journal Article

    The accuracy of ionospheric models estimated by ground‐based multiple global navigation satellite system ionospheric data over regions with sparse tracking stations is not ideal. To improve the accuracy of the estimated ionospheric model, different types of ionospheric data with different combinations were employed for previous studies. However, the ionospheric observational ranges for different types of ionospheric data are not the same. In this study, the accuracy of ionospheric maps generated by ground‐based ionospheric data (ground‐based strategy) and ground‐based ionospheric data combined with data provided by other geodetic measurements normalized by the single‐layer normalization method (multi‐source strategy) were studied. The results showed that the main differences between the ionospheric models estimated by the two strategies occur for data taken over the ocean, which mainly range from −1 to 0 total electron content unit (TECU). When assessed using Jason‐3 vertical total electron content data, the mean root mean square (RMS) value of the ionospheric model estimated by the multi‐source strategy was 5.03 TECU, which is approximately 15% smaller than that estimated by the ground‐based strategy. The maximum reduction in results using the multisource strategy was approximately 25% over different latitudes compared with that of the ground‐based strategy. Furthermore, the self‐consistency evaluation method was employed for evaluation. The results showed that the RMS of the ionospheric model estimated by the multi‐source strategy was 2.41 TECU, which is 3.60% better than that of the ground‐based strategy. The maximum reduction was 15% on different days. Key Points The single‐layer normalization method is employed to make multi‐source data have the same observational range compared with those of ground‐based global navigation satellite system data The distribution of multi‐source data has better coverage, especially over the oceanic region The main differences between the ionospheric models estimated by the ground‐based strategy and the multi‐source strategy occur over the ocean