Infrasonic Oscillations in Ionosphere and Their Manifestations in Hydrosphere

G. I. Dolgikh11, M. A. Bolsunovskii1, 2, S. G. Dolgikh1, 2, ✉

1 V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russian Federation

2 Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russian Federation

✉ e-mail: sdolgikh@poi.dvo.ru

Abstract

Purpose. The aim of this study is to identify and analyze the main infrasonic oscillatory processes observed in records from sea level measuring stations and stations of global navigation satellite systems (GNSS), as well as to determine the primary sources of these oscillations.

Methods and Results. Ionospheric GNSS data from stations located in the Primorsky Territory of Russia and sea level data from marine stations in the Pacific Ocean and the Sea of Japan were analyzed. Variations in total electron content (TEC) and sea level were examined, and the dominant oscillation periods in the ionosphere and hydrosphere corresponding to specific measurement sites were compared. Spectral analysis was performed using two different methods: the periodogram method and the maximum likelihood estimation (MLE) method. The results show that the dominant oscillation periods in the ionosphere above water areas coincide with those of sea surface fluctuations, with an average deviation of 2.5%. Two independent experiments indicate that these oscillations originate in the atmosphere and subsequently excite oscillations of similar periods in the hydrosphere.

Conclusions. Analysis of ionospheric TEC variations and data from level measuring stations demonstrates that the periods of the dominant spectral maxima are in good agreement with high accuracy. The obtained results indicate that the oscillation periods the ionosphere and the hydrosphere correspond to the same eigen atmospheric oscillations over specific territories and water areas. The observed coincidence of oscillation periods confirms strong coupling between atmospheric infrasonic disturbances, the ionosphere, and the hydrosphere. In the future, integrated experiments with modern laser interferometric systems will allow for a better understanding of the mechanisms of interaction between geospheres.

Keywords

infrasonic oscillations, ionosphere, hydrosphere, GNSS, total electron content, atmosphere-ocean coupling, spectral analysis

Acknowledgements

The authors thank the staff of the Laboratory of Physics of Geospheres for their assistance and support. This work was supported by project No. 124022100074-9 “Study of the nature of linear and nonlinear interaction of geospheric fields of the transitional zones of the World Ocean and their consequences”, and by the Russian Science Foundation grant No. 22-17-00121 “Emergence, development and transformation of geospheric processes of the infrasound range”.

About the authors

Grigoriy I. Dolgikh, Academician of RAS, V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences (43 Baltiyskaya Str., Vladivostok, 690041, Russian Federation), DSc. (Phys.-Math.), Professor, ORCID ID: 0000-0002-2806-3834, Scopus Author ID: 7003888822, SPIN-code: 5241-3375, Web of Science ResearcherID: A-7685-2014, dolgikh@poi.dvo.ru

Mikhail A. Bolsunovskii, Graduate Student, V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences (43 Baltiyskaya Str., Vladivostok, 690041, Russian Federation), ORCID ID: 0000-0002-9197-7452, Scopus Author ID: 58405940300, SPIN-code: 8711-4746, Web of Science ResearcherID: HMO-8458-2023, bolsunovsky.ma@poi.dvo.ru

Stanislav G. Dolgikh, Head of the Laboratory of Nonlinear Hydrophysics and Natural Disasters, V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences (43 Baltiyskaya Str., Vladivostok, 690041, Russian Federation), DSc. (Tech.), ORCID ID: 0000-0001-9828-5929, Scopus Author ID: 6604069353, SPIN-code: 1836-2541, sdolgikh@poi.dvo.ru

For citation

Dolgikh, G.I., Bolsunovskii, M.A. and Dolgikh, S.G., 2026. Infrasonic Oscillations in the Ionosphere and Their Manifestations in the Hydrosphere. Physical Oceanography, 33(1), pp. 107-126.

References

  1. Calais, E. and Minster, J.B., 1995. GPS Detection of Ionospheric Perturbations Following the January 17, 1994, Northridge Earthquake. Geophysical Research Letters, 22(9), pp. 1045–1048. https://doi.org/10.1029/95GL00168
  2. Heki, K. and Ping, J., 2005. Directivity and Apparent Velocity of the Coseismic Ionospheric Disturbances Observed with a Dense GPS Array. Earth and Planetary Science Letters, 236(3–4), pp. 845–855. https://doi.org/10.1016/j.epsl.2005.06.010
  3. Tsugawa, T., Saito, A., Otsuka, Y., Nishioka, M., Maruyama, T., Kato, H., Nagatsuma, T. and Murata, K.T., 2011. Ionospheric Disturbances Detected by GPS Total Electron Content Observation after the 2011 off the Pacific Coast of Tohoku Earthquake. Earth, Planets and Space, 63(7), 66. https://doi.org/10.5047/eps.2011.06.035
  4. Jin, S., Jin, R. and Li, D., 2017. GPS Detection of Ionospheric Rayleigh Wave and Its Source Following the 2012 Haida Gwaii Earthquake. Journal of Geophysical Research: Space Physics, 122(1), pp. 1360-1372. https://doi.org/10.1002/2016JA023727
  5. Grawe, M.A. and Makela, J.J., 2015. The Ionospheric Responses to the 2011 Tohoku, 2012 Haida Gwaii, and 2010 Chile Tsunamis: Effects of Tsunami Orientation and Observation Geometry. Earth and Space Science, 2(11), pp. 472-483. https://doi.org/10.1002/2015EA000132
  6. Adam, D., 2022. Tonga Volcano Eruption Created Puzzling Ripples in Earth’s Atmosphere. Nature, 601, 497. https://doi.org/10.1038/d41586-022-00127-1
  7. Carpenter, E.W., Harwood, G. and Whiteside, T., 1961. Microbarograph Records from the Russian Large Nuclear Explosions. Nature, 192(4805), 857. https://doi.org/10.1038/192857a0
  8. Dolgikh, G.I., Dolgikh, S.G. and Ovcharenko, V.V., 2022. Initiation of Infrasonic Geosphere Waves Caused by Explosive Eruption of Hunga Tonga-Hunga Ha’apai Volcano. Journal of Marine Science and Engineering, 10(8), 1061. https://doi.org/10.3390/jmse10081061
  9. Astafyeva, E., 2019. Ionospheric Detection of Natural Hazards. Reviews of Geophysics, 57(4), pp. 1265-1288. https://doi.org/10.1029/2019RG000668
  10. Hofmann‐Wellenhof, B., Lichtenegger, H. and Wasle, E., 2008. GNSS ‐ Global Navigation Satellite Systems. Vienna, New York: Springer, 518 p. https://doi.org/10.1007/978-3-211-73017-1
  11. Rossi, R.J., 2018. Mathematical Statistics: An Introduction to Likelihood Based Inference. New York: John Wiley & Sons, 448 p.
  12. Rabinovich, A.B., Šepić, J., Medvedev, I.P. and Tomson, R.E., 2025. A Triple Jeopardy Flood Event: Coincident Arrival of the 2022 Tonga Tsunami with a Storm Surge and Meteotsunami on the East Coast of the United States. Bulletin of the American Meteorological Society, 106(2), pp. E290–E309. https://doi.org/10.1175/BAMS-D-24-0040.1
  13. Shved, G.M., Ermolenko, S.I., Karpova, N.V., Wendt, S. and Jacobi Ch., 2013. Detecting Global Atmospheric Oscillations by Seismic Instruments. Izvestiya, Physics of the Solid Earth, 49(2), pp. 278–288. https://doi.org/10.1134/S1069351313010138
  14. Dolgikh, G.I., 2011. Principles of the Designing Single-Coordinate Laser Strainmeters. Technical Physics Letters, 37(3), pp. 204–206. https://doi.org/10.1134/S1063785011030035
  15. Dolgikh, G.I., Budrin, S.S., Dolgikh, S.G. and Plotnikov, A.A., 2020. Supersensitive Detector of Hydrosphere Pressure Variations. Sensors, 20(23), 6998. https://doi.org/10.3390/s20236998

Files

Full text

JATS XML

We use Yandex Metrics. Read more.

Мы используем Яндекс Метрику. Подробнее.