Assessment and analysis of the global ionosphere maps over China based on CMONOC GNSS data

Frontiers in Earth Science

Earth Science

Fuying Zhu¹  Yun Qing²  Xinxing Li²  Jian Yang² 

[1] Electronic Information School, Wuhan University, Wuhan, Hubei, China;Institute of Seismology, China Earthquake Administration, Wuhan, Hebei, China;Key Laboratory of Earthquake Geodesy, China Earthquake Administration, Wuhan, China;Institute of Seismology, China Earthquake Administration, Wuhan, Hebei, China;Key Laboratory of Earthquake Geodesy, China Earthquake Administration, Wuhan, China;

关键词: GIM (global ionospheric map);    CMONOC;    RIM;    China;    accuracy;   

DOI  :  10.3389/feart.2023.1095754

 received in 2022-11-11, accepted in 2023-03-31,  发布年份 2023

来源: Frontiers

【 摘 要 】

The global ionosphere map (GIM) total electron content (TEC) data are extensively employed to statistically study the seismic ionospheric disturbance characteristics. Due to the limitation of spatial coverage of ground-based GNSS receivers, in many regions, the GIM TEC results are obtained by interpolation or extrapolation, and therefore the actual accuracy is different. In this paper, based on the CMONOC GNSS data, a high-precision regional ionospheric map (RIM) model over China is established, and the assessment and analysis of the post-processed IGS GIM over China are conducted. Statistical results show that the average RMS of IGS GIM over China is less than 2 TECu. The comparison of the TEC values calculated by the GIM with the RIM shows that the two models give similar results. The Bias and STD of the difference over most of China is less than 2 TECu except in some low latitude areas. Meanwhile, the correlation between GIM and RIM is better in the daytime than at night, and it is not affected by space electromagnetic disturbance. The assessment results of accuracy in this paper are only applicable to the China region, and the accuracy of other regions needs to be further assessed.

【 授权许可】

Unknown   
Copyright © 2023 Zhu, Yang, Qing and Li.