Advances in Seismic-Ionospheric Coupling
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 3036
Special Issue Editors
Interests: GNSS TEC; ionosphere anomaly; seismology–ionosphere coupling; GNSS atmosphere; space geodesy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Earthquake is a severe natural disaster endangering human society, and therefore it is necessary to investigate new methods and theories for earthquake prediction. In recent years, some reports have revealed that the ionospheric plasma over the seismogenic zone has a direct relationship with the following earthquakes; the seismic waves generated by strong solid-earth processes can travel vertically to ionospheric altitude and disturb ionospheric electron densities. A comprehensive understanding of the features and physical mechanisms of the seismic–ionospheric coupling effect is important for the development of real-time earthquake early warning systems based on space-geodetic techniques. With the rapid development of cutting-edge multi-GNSS systems and low-orbit radio occultation systems (COSMIC-1/2, FY-3C/D, etc.), GNSS remote sensing techniques offer an unprecedented opportunity for ionospheric modeling, and provide high-accuracy geodetic data for space weather monitoring and other associated applications. To take advantage of advanced GNSS remote sensing techniques, this Special Issue aims to present new studies that address topics including but not limited to:
- Advanced methods for detecting seismic–ionospheric signals.
- Ionospheric monitoring during severe space events.
- Deep learning techniques in earth system models.
- Seismic–ionospheric coupling mechanisms.
- Applications of ionospheric anomaly to monitoring natural disasters.
- Ionosphere modelling.
- GNSS data processing for TEC.
- Case studies of seismic–ionospheric effects.
Dr. Jinyun Guo
Dr. Wang Li
Guest Editors
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Keywords
- natural disaster
- space weather monitoring
- ionospheric modelling
- seismic–ionospheric coupling
- GNSS systems
- TEC
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