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Stability validation on the VLF waveform data of the China-Seismo-Electromagnetic Satellite

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Abstract

The China-Seismo-Electromagnetic Satellite (CSES), which was launched in February 2018, carries the search coil magnetometer (SCM) and the electric field detector (EFD) to realize the high-resolution electromagnetic field and wave detection in the upper ionosphere. Due to the complexity and variability of the ionospheric environment, the stability of such a high sampling rate and high-precision electromagnetic field detection systems is always an essential link in data processing and the scientific application of CSES. This work evaluates the stability of the very-low-frequency (VLF) band detection by validating the systemic sampling-time differences between SCM and EFD in the VLF burst-mode observations. The optimal waveform data preprocessing method is put forward according to the noise levels of the VLF burst-mode observation and the inherent design characteristics of EFD. The VLF waveform data of EFD is rebuilt by filling the data gaps among the sampling sub-periods, making it with a similar sample length to SCM. Then by precisely intercepting the maximum and minimum values of the burst-mode waveforms, the variation of the sampling-time difference between EFD and SCM is statistically evaluated. Results show that during the three years’ operation, the sampling-time difference between EFD and SCM predominately keeps below 0.5 s, indicating good stability of EFD and SCM on orbit. Then we developed an automatic synchronization tool based on the similarity function and STA/LTA (short time average over long time average) characteristic function. This tool can effectively realize the precise synchronization between SCM and EFD in the VLF burst-mode observation. This work is helpful to upgrade the data quality of CSES and provides technical support for electromagnetic wave propagation studies.

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References

  1. Shen X H, Zhang X M, Yuan S G, et al. The state-of-the-art of the China Seismo-Electromagnetic Satellite mission. Sci China Tech Sci, 2018, 61: 634–642

    Article  Google Scholar 

  2. Zhao S F, Shen X H, Liao L, et al. A lithosphere-atmosphere-ionosphere coupling model for ELF electromagnetic waves radiated from seismic sources and its possibility observed by the CSES. Sci China Tech Sci, 2021, 64: 2551–2559

    Article  Google Scholar 

  3. Cao J B, Zeng L, Zhan F, et al. The electromagnetic wave experiment for CSES mission: Search coil magnetometer. Sci China Tech Sci, 2018, 61: 653–658

    Article  Google Scholar 

  4. Huang J P, Shen X H, Zhang X M, et al. Application system and data description of the China Seismo-Electromagnetic Satellite. Earth Planet Phys, 2018, 2: 444–454

    Article  Google Scholar 

  5. Wang Q, Huang J P, Zhang X M, et al. China Seismo-Electromagnetic Satellite search coil magnetometer data and initial results. Earth Planet Phys, 2018, 2: 462–468

    Google Scholar 

  6. Huang J P, Lei J G, Li S X, et al. The electric field detector (EFD) onboard the ZH-1 satellite and first observational results. Earth Planet Phys, 2018, 2: 469–478

    Article  Google Scholar 

  7. Berthelier J J, Godefroy M, Leblanc F, et al. ICE, the electric field experiment on DEMETER. Planet Space Sci, 2006, 54: 456–471

    Article  Google Scholar 

  8. Parrot M, Benoist D, Berthelier J J, et al. The magnetic field experiment IMSC and its data processing onboard DEMETER: Scientific objectives, description and first results. Planet Space Sci, 2006, 54: 441–455

    Article  Google Scholar 

  9. Zhima Z, Zhou B, Zhao S F, et al. Cross-calibration on the electromagnetic field detection payloads of the China Seismo-Electromagnetic Satellite. Sci China Tech Sci, 2022, 65: 1415–1426

    Article  Google Scholar 

  10. Zhima Z, Yan R, Lin J, et al. The possible seismo-ionospheric perturbations recorded by the China-Seismo-Electromagnetic Satellite. Remote Sens, 2022, 14: 905

    Article  Google Scholar 

  11. Zhima Z, Huang J, Shen X, et al. Simultaneous observations of ELF/VLF rising-tone quasiperiodic waves and energetic electron precipitations in the high-latitude upper ionosphere. J Geophys Res Space Phys, 2020, 125: e2019JA027574

    Article  Google Scholar 

  12. Chen L, Santolík O, Hajoš M, et al. Source of the low-altitude hiss in the ionosphere. Geophys Res Lett, 2017, 44: 2060–2069

    Article  Google Scholar 

  13. Zhima Z, Chen L, Xiong Y, et al. On the origin of ionospheric hiss: A conjugate observation. J Geophys Res Space Phys, 2017, 122: 11–784

    Article  Google Scholar 

  14. Parrot M, Santolík O, Nĕmec F. Chorus and chorus-like emissions seen by the ionospheric satellite DEMETER. J Geophys Res Space Phys, 2016, 121: 3781–3792

    Article  Google Scholar 

  15. Zhima Z, Cao J, Liu W, et al. DEMETER observations of high-latitude chorus waves penetrating the plasmasphere during a geomagnetic storm. Geophys Res Lett, 2013, 40: 5827–5832

    Article  Google Scholar 

  16. Santolík O, Parrot M, Inan U S, et al. Propagation of unducted whistlers from their source lightning: A case study. J Geophys Res, 2009, 114: A03212

    Google Scholar 

  17. Nĕmec F, Bezdĕková B, Manninen J, et al. Conjugate observations of a remarkable quasiperiodic event by the low-altitude DEMETER spacecraft and ground-based instruments. J Geophys Res Space Phys, 2016, 121: 8790–8803

    Article  Google Scholar 

  18. Grimalsky V V, Hayakawa M, Ivchenko V N, et al. Penetration of an electrostatic field from the lithosphere into the ionosphere and its effect on the D-region before earthquakes. J Atmos Sol-Terrestrial Phys, 2003, 65: 391–407

    Article  Google Scholar 

  19. Poluektov A. Kernel density estimation of a multidimensional efficiency profile. J Inst, 2015, 10: P02011

    Google Scholar 

  20. Zhu X, Su S, Fu M, et al. A cosine similarity algorithm method for fast and accurate monitoring of dynamic droplet generation processes. Sci Rep, 2018, 8: 9967

    Article  Google Scholar 

  21. Vaezi Y, Vander Baan M. Comparison of the STA/LTA and power spectral density methods for microseismic event detection. Geophys J Int, 2015, 203: 1896–1908

    Article  Google Scholar 

  22. Fu T. A review on time series data mining. Eng Appl Artif Intell, 2011, 24: 164–181

    Article  Google Scholar 

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Authors and Affiliations

  1. National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China

    DeHe Yang, ZeRen Zhima, Qiao Wang, JianPing Huang, XiuYing Wang, ZhenXia Zhang, ShuFan Zhao, Feng Guo, HengXin Lu & XuHui Shen

  2. Henan Earthquake Agency, Zhengzhou, 450016, China

    WanLi Cheng

Authors
  1. DeHe Yang
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  2. ZeRen Zhima
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  3. Qiao Wang
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  4. JianPing Huang
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  5. XiuYing Wang
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  6. ZhenXia Zhang
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  7. ShuFan Zhao
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  8. Feng Guo
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  9. WanLi Cheng
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  10. HengXin Lu
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  11. XuHui Shen
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Corresponding author

Correspondence to ZeRen Zhima.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 41874174 and 42104159), National Key R&D Program of China (Grant No. 2018YFC1503502), Scientific and Technological Innovation Team of Henan Earthquake Agency-the Survey and Comparison Of Electromagnetic Data on Satellite and Earth Research Group, the APSCO Earthquake Research Project Phase II, International Space Science Institute—Beijing Project, Dragon 59236, and Southern Yunnan Observatory for Cross-block Dynamic Process, Yuxi Yunnan, 652799, China. We acknowledge the CSES Scientific Mission Center for Providing Data (The English version of http://www.leos.ac.cn/).

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Yang, D., Zhima, Z., Wang, Q. et al. Stability validation on the VLF waveform data of the China-Seismo-Electromagnetic Satellite. Sci. China Technol. Sci. 65, 3069–3078 (2022). https://doi.org/10.1007/s11431-022-2059-8

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  • DOI: https://doi.org/10.1007/s11431-022-2059-8

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