IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2024)

Analyzing GNSS-RO Derived Ionospheric Intensity Scintillation Preceding Earthquakes in the Coral Sea During 2022

  • Mireia Carvajal-Librado,
  • Carlos Molina,
  • Badr-Eddine Boudriki Semali,
  • Hyuk Park,
  • Adriano Camps

DOI
https://doi.org/10.1109/JSTARS.2024.3452671
Journal volume & issue
Vol. 17
pp. 16020 – 16029

Abstract

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Lithosphere–atmosphere–ionosphere coupling models have been widely studied as potential earthquake precursors. After the earthquakes, total electron content (TEC) anomalies propagating away from the epicenter have been identified. Recent evidence has also found that electromagnetic phenomena related to earthquakes might also produce ionospheric anomalies before their occurrence. This study analyzes the correlation between ionospheric intensity scintillation, characterized by the $S_{4}$ index, and seismic activity in the area around the Coral Sea in the year 2022. The $S_{4}$ intensity scintillation index derived from COSMIC-2 global navigation satellite system radio occultation estimates ionospheric perturbations and identifies anomalies. The methodology involves applying rigorous filters to ensure reliable $S_{4}$ estimation, including slant TEC thresholding and night-time filtering. To compare the $S_{4}$ scintillation index with seismic activity, the mean and the 95th percentile of the $S_{4}$ values are computed at 1-d intervals. Two case studies of earthquakes in 2022 with magnitudes larger than 6 are presented, as well as a statistical analysis based on the calculation of the confusion matrices, and the receiver operating characteristic curves. A positive correlation between the ionospheric intensity scintillation and the occurrence of earthquakes is found, with a probability of detection exceeding 35.7 % and a false alarm rate of 7.1 %.

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