2021
DOI: 10.1088/1755-1315/929/1/012017
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The capabilities of analyzing the seismo-electromagnetic satellite CSES-01 data for monitoring of seismic activity of the Northern Tien Shan

Abstract: The relationship between space weather and earthquakes occurring in seismically active areas with the seismo-electromagnetic satellite CSES-01 data are observed. The study assumes the presence of possible ionospheric precursors of strong earthquakes. The sets of measuring instruments of the satellite and data are considered. Subsequently, to prove the non-random nature of the space weather effects, the results of ground-based geomagnetic or electromagnetic observations should be used, for example, magnetotellu… Show more

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“…It has been operating for more than 4 years now, and researchers have used its observed data to conduct a large number of scientific experiments (Ambrosi et al, 2018;Cao et al, 2018;Marchetti et al, 2020;Piersanti et al, 2020;Shen et al, 2018;Ouyang et al, 2019;Huang et al, 2021;Akhoondzadeh et al, 2022). Researchers verified that the CSES and its payload functioned properly after launch by different scientific methods (Huang et al, 2018;Lin et al, 2018;Scotti and Osteria, 2019;Diego et al, 2020); On 25 August 2018, the CSES was hit by the first geomagnetic solid storm event since its launch, Yang et al (2020) verified the excellent performance of the CSES and its corresponding payloads by performing a joint analysis with other detectors such as the Swarm satellite; Li et al (2020) compared the ion and electron densities observed by the DEMETER and the CSES by comparing different parameters and time resolutions, showing that the CSES can effectively follow ionospheric perturbations; Nepeina (2021) used data from the CESE to observe the relationship between space weather and earthquakes occurring in seismically active regions, compared the changes in ground-based geomagnetic or electromagnetic sounding data, and concluded that the results of the comparison could be used in future short-term earthquake prediction techniques. Huang et al (2022) conducted a statistical study based on the artificial source signal from the CSES, and the statistical characteristics of the most vital point varied with different components of day/night, local/ conjugate point, latitude/longitude, and electric field vector; Li et al (2022a); Li et al (2022b) analyzed the electric field data observed by the CSES during the 7.7 magnitude earthquake in the Caribbean Sea in 2020 and extracted the anomalous perturbations of the electric field before the earthquake; Hu et al (2020) developed an EM wave vector analysis tool mainly using the EM waveform data recorded by the CSES and verified the correctness of the algorithm and the excellent performance of the CSES in EM field observation by comparing it with the DEMETER satellite.…”
Section: Introductionmentioning
confidence: 98%
“…It has been operating for more than 4 years now, and researchers have used its observed data to conduct a large number of scientific experiments (Ambrosi et al, 2018;Cao et al, 2018;Marchetti et al, 2020;Piersanti et al, 2020;Shen et al, 2018;Ouyang et al, 2019;Huang et al, 2021;Akhoondzadeh et al, 2022). Researchers verified that the CSES and its payload functioned properly after launch by different scientific methods (Huang et al, 2018;Lin et al, 2018;Scotti and Osteria, 2019;Diego et al, 2020); On 25 August 2018, the CSES was hit by the first geomagnetic solid storm event since its launch, Yang et al (2020) verified the excellent performance of the CSES and its corresponding payloads by performing a joint analysis with other detectors such as the Swarm satellite; Li et al (2020) compared the ion and electron densities observed by the DEMETER and the CSES by comparing different parameters and time resolutions, showing that the CSES can effectively follow ionospheric perturbations; Nepeina (2021) used data from the CESE to observe the relationship between space weather and earthquakes occurring in seismically active regions, compared the changes in ground-based geomagnetic or electromagnetic sounding data, and concluded that the results of the comparison could be used in future short-term earthquake prediction techniques. Huang et al (2022) conducted a statistical study based on the artificial source signal from the CSES, and the statistical characteristics of the most vital point varied with different components of day/night, local/ conjugate point, latitude/longitude, and electric field vector; Li et al (2022a); Li et al (2022b) analyzed the electric field data observed by the CSES during the 7.7 magnitude earthquake in the Caribbean Sea in 2020 and extracted the anomalous perturbations of the electric field before the earthquake; Hu et al (2020) developed an EM wave vector analysis tool mainly using the EM waveform data recorded by the CSES and verified the correctness of the algorithm and the excellent performance of the CSES in EM field observation by comparing it with the DEMETER satellite.…”
Section: Introductionmentioning
confidence: 98%