EGU21-10207
https://doi.org/10.5194/egusphere-egu21-10207
EGU General Assembly 2021
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Ionospheric precursors of earthquakes from satellites

Angelo De Santis1, Saioa A. Campuzano2, Gianfranco Cianchini1, Domenico Di Mauro1, Dedalo Marchetti1,3, Martina Orlando1, Loredana Perrone1, Alessandro Piscini1, Dario Sabbagh1, Maurizio Soldani1, Xuhui Shen4, and Zeren Zhima4
Angelo De Santis et al.
  • 1INGV, Istituto Nazionale Geofisica e Vulcanologia, Roma, Italy (angelo.desantis@ingv.it)
  • 2Instituto de Geociencias IGEO (CSIC-UCM), Ciudad Universitaria, 28040 Madrid, Spain
  • 3College of Instrumentation and Electrical Engineering, Jilin University, 130061 Changchun, Chin
  • 4Space Observation Research Center, National Institute of Natural Hazards, MEMC, 100085 Beijing, China

In-situ magnetic field and electron density, as observed by Swarm and CSES satellites, are analyzed to identify possible anomalies in geomagnetic quiet time with respect to the ionospheric background. To avoid detecting possible anomalies induced by auroral activity we investigate regions between +50 and -50 degrees in magnetic latitude. Then a superposed epoch and space approach is applied to this anomaly dataset with respect to their time and space distance from shallow M5.5+ earthquakes occurred in about last 6 years. A comparison with analogous homogeneous random distribution of anomalies shows that the real anomaly concentrations found before the occurrence of earthquakes are statistically significant. In addition, we find that, in general, the anticipation times of the ionospheric precursors scale with the earthquake magnitude, confirming the validity of the Rikitake law for ionospheric signals, previously valid for ground precursors. We also find that the anomaly duration seems to depend on the magnitude of the impending earthquake. Finally, we propose a simple scheme of potential earthquake forecast on the base of the previously mentioned characteristics.

How to cite: De Santis, A., Campuzano, S. A., Cianchini, G., Di Mauro, D., Marchetti, D., Orlando, M., Perrone, L., Piscini, A., Sabbagh, D., Soldani, M., Shen, X., and Zhima, Z.: Ionospheric precursors of earthquakes from satellites, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-10207, https://doi.org/10.5194/egusphere-egu21-10207, 2021.

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