Detecting Seismo-Ionospheric Anomalies Possibly Associated With The 2019 Ridgecrest (California) Earthquakes By Gnss, Cses, And Swarm Observations

JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS(2021)

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摘要
The association between earthquakes and ionospheric precursors has been widely reported in previous studies. The Swarm satellite constellation, the China Seismo-Electromagnetic Satellite (CSES), and the ground-based global navigation satellite system (GNSS) observations provide us new opportunities to detect ionospheric precursors to earthquakes for a better understanding of the seismic-ionospheric coupling. In California, two shallow earthquakes with magnitudes of 6.5 and 7.1, the two higher magnitude events of the Ridgecrest earthquakes sequence, occurred on July 4 and July 6, 2019, respectively. This study adopted total electron content (TEC) data from the GNSS, and electron density (N-e), and electron temperature (T-e) data from the CSES and Swarm to study the possible ionospheric perturbations before the Ridgecrest earthquakes. A sliding interquartile range method was used to analyze the TEC data, and a spatial differential method and a revisit trajectory comparison were used to analyze the N-e and T-e data. While excluding the influences of various factors including solar and geomagnetic activities, planetary waves, tropospheric convection, and medium-scale traveling ionospheric disturbances, the cross-validation of the multi-source data found that anomalies detected on June 20, June 22, and June 26-29, 2019 could be regarded as precursors of the Ridgecrest earthquakes. A spatial distribution analysis showed that the pre-earthquake anomalies offset the equatorial direction. TEC anomalies were all positively correlated with the N-e anomalies, with most of them were positive. The N-e and T-e anomalies were both positively and negatively correlated with mostly negative, while showing a strong linear negative correlation at nighttime.
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关键词
seismo-ionospheric anomalies, Ridgecrest earthquakes, total electron content, Seismo-Electromagnetic Satellite, Swarm, GNSS
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