Articles | Volume 32, issue 12
https://doi.org/10.5194/angeo-32-1487-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-32-1487-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The numerical simulation on ionospheric perturbations in electric field before large earthquakes
S. F. Zhao
CORRESPONDING AUTHOR
Depart of Space Physics, School of Electronic information, Wuhan University, Wuhan 430072, China
Institute of Earthquake Science, China Earthquake Administration, Beijing 100081, China
X. M. Zhang
Institute of Earthquake Science, China Earthquake Administration, Beijing 100081, China
Z. Y. Zhao
Depart of Space Physics, School of Electronic information, Wuhan University, Wuhan 430072, China
X. H. Shen
Institute of Earthquake Science, China Earthquake Administration, Beijing 100081, China
Related authors
Xuan Dong, Shufan Zhao, Li Liao, Wei Xu, Ruilin Lin, Xiaojing Sun, Shengyang Huang, Yatong Cui, Jinlei Li, Hengxin Lu, and Xuhui Shen
EGUsphere, https://doi.org/10.5194/egusphere-2025-878, https://doi.org/10.5194/egusphere-2025-878, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Energetic electron precipitation (EEP) from the magnetosphere into the Earth's atmosphere can significantly alter the electron density in the D-region ionosphere, impacting its reflective properties and the effectiveness of low-frequency radio wave transmission. A comprehensive understanding of the influence of EEP on the D-region ionosphere can enhance predictive models of ionospheric behavior and mitigate the impacts of space weather.
Shufan Zhao, XuHui Shen, Zeren Zhima, and Chen Zhou
Ann. Geophys., 38, 969–981, https://doi.org/10.5194/angeo-38-969-2020, https://doi.org/10.5194/angeo-38-969-2020, 2020
Short summary
Short summary
We use satellite data to analyze precursory anomalies of the western China Ms 7.1 Yushu earthquake by analyzing the signal-to-noise ratio (SNR) and using the full-wave model to illustrate a possible mechanism for how the anomalies occurred. The results show that very low-frequency (VLF) radio wave SNR in the ionosphere decreased before the Yushu earthquake. The full-wave simulation results confirm that electron density variation in the lower ionosphere will affect VLF radio signal SNR.
X. H. Shen, X. Zhang, J. Liu, S. F. Zhao, and G. P. Yuan
Ann. Geophys., 33, 471–479, https://doi.org/10.5194/angeo-33-471-2015, https://doi.org/10.5194/angeo-33-471-2015, 2015
Short summary
Short summary
This paper addresses the background of electron density (Ne) and temperature (Te and their relationship during local nighttime based on DEMETER satellite data. It also discusses the enhanced negative correlation of Ne and Te around strong earthquakes and the possible electric-field-coupling mechanism as well as digital calculation.
Xuan Dong, Shufan Zhao, Li Liao, Wei Xu, Ruilin Lin, Xiaojing Sun, Shengyang Huang, Yatong Cui, Jinlei Li, Hengxin Lu, and Xuhui Shen
EGUsphere, https://doi.org/10.5194/egusphere-2025-878, https://doi.org/10.5194/egusphere-2025-878, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Energetic electron precipitation (EEP) from the magnetosphere into the Earth's atmosphere can significantly alter the electron density in the D-region ionosphere, impacting its reflective properties and the effectiveness of low-frequency radio wave transmission. A comprehensive understanding of the influence of EEP on the D-region ionosphere can enhance predictive models of ionospheric behavior and mitigate the impacts of space weather.
Shufan Zhao, XuHui Shen, Zeren Zhima, and Chen Zhou
Ann. Geophys., 38, 969–981, https://doi.org/10.5194/angeo-38-969-2020, https://doi.org/10.5194/angeo-38-969-2020, 2020
Short summary
Short summary
We use satellite data to analyze precursory anomalies of the western China Ms 7.1 Yushu earthquake by analyzing the signal-to-noise ratio (SNR) and using the full-wave model to illustrate a possible mechanism for how the anomalies occurred. The results show that very low-frequency (VLF) radio wave SNR in the ionosphere decreased before the Yushu earthquake. The full-wave simulation results confirm that electron density variation in the lower ionosphere will affect VLF radio signal SNR.
X. H. Shen, X. Zhang, J. Liu, S. F. Zhao, and G. P. Yuan
Ann. Geophys., 33, 471–479, https://doi.org/10.5194/angeo-33-471-2015, https://doi.org/10.5194/angeo-33-471-2015, 2015
Short summary
Short summary
This paper addresses the background of electron density (Ne) and temperature (Te and their relationship during local nighttime based on DEMETER satellite data. It also discusses the enhanced negative correlation of Ne and Te around strong earthquakes and the possible electric-field-coupling mechanism as well as digital calculation.