Articles | Volume 44, issue 1
https://doi.org/10.5194/angeo-44-391-2026
https://doi.org/10.5194/angeo-44-391-2026
Regular paper
 | 
27 May 2026
Regular paper |  | 27 May 2026

Pre-earthquake Electric Field Disturbances and Interference Analysis Based on CSES-01 Satellite Observations

Jianping Huang, Junjie Song, Yantao Zhang, Yuan Yao, Zhong Li, Wenjing Li, Hengxin Lu, Xingsu Li, Yumeng Huo, and Ruiqi Yang

Related authors

Quantitative analysis of nighttime effects of radiation belt energetic electron precipitation on the D-region ionosphere during lower solar activity periods
Xuan Dong, Shufan Zhao, Li Liao, Wei Xu, Ruilin Lin, Xiaojing Sun, Shengyang Huang, Yatong Cui, Jinlei Li, Hengxin Lu, and Xuhui Shen
Atmos. Chem. Phys., 25, 9183–9198, https://doi.org/10.5194/acp-25-9183-2025,https://doi.org/10.5194/acp-25-9183-2025, 2025
Short summary

Cited articles

Astafyeva, E.: Ionospheric detection of natural hazards, Rev. Geophys., 57, 1265–1288, https://doi.org/10.1029/2019RG000668, 2019. 
Astafyeva, E., Shalimov, S., Olshanskaya, E., and Lognonné, P.: Ionospheric response to earthquakes of different magnitudes: Larger quakes perturb the ionosphere stronger and longer, Geophys. Res. Lett., 40, 1675–1681, https://doi.org/10.1002/grl.50398, 2013. 
Barba, P., Ramírez-Zelaya, J., Jiménez, V., Rosado, B., Jaramillo, E., Moreno, M., and Berrocoso, M.: Tropospheric and ionospheric modeling using GNSS time series in volcanic eruptions (La Palma, 2021), Eng. Proc., 39, 9047, https://doi.org/10.3390/engproc2023039047, 2023. 
Bhattacharya, S., Sarkar, S., Gwal, A. K., and Parrot, M.: Observations of ULF/ELF anomalies detected by DEMETER satellite prior to earthquakes, Indian J. Radio Space Phys., 36, 103–113, 2007. 
Chen, W., Marchetti, D., Zhu, K., Sabbagh, D., Yan, R., Zhima, Z., Shen, X., Cheng, Y., Fan, M., Wang, S., Wang, T., Zhang, D., Zhang, H., and Zhang, Y.: CSES-01 Electron Density Background Characterisation and Preliminary Investigation of Possible Ne Increase before Global Seismicity, Atmosphere, 14, 1527, https://doi.org/10.3390/atmos14101527, 2023. 
Download
Short summary
In this paper, we propose a method for identifying anomalous electromagnetic phenomena in the ionosphere before earthquakes, contributing to earthquake prediction research. By analyzing satellite data from the China Seismo-Electromagnetic Satellite and applying a decomposition technique, we identify significant electric-field disturbances prior to the May 11, 2023, Tonga Islands earthquake, supporting studies of seismic precursors.
Share