Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 22, 2025
Номер 1
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, Vol. 22, No. 1, pp. 56-68

Pre-seismic disturbances of meteorological parameters in the lower atmosphere based on satellite measurements

L.G. Sverdlik 1, 2 
1 Research Station RAS in Bishkek City, Bishkek, Kyrgyzstan
2 Kyrgyz–Russian Slavic University, Bishkek, Kyrgyzstan
Accepted: 03.12.2024
DOI: 10.21046/2070-7401-2025-22-1-56-68
New results of perturbation study in variations of temperature and wind speed during periods of strong seismic activity in Eurasia are presented. The analysis focused on the largest earthquakes of the last two years with magnitudes M ≥ 7.0 that occurred in Turkey (February 6, 2023), China (January 22, 2024), Japan (January 1, 2024) and Taiwan (April 2, 2024). Data from the Global MERRA-2 Reanalysis Archive (MERRA-2 — Modern-Era Retrospective Analysis for Research and Applications, Version 2) were used to investigate pre-seismic effects. In accordance with satellite data processing algorithm, the integral parameter of abnormal variations, calculated as the product of the ratios of sliding variances of time series of temperature in the upper troposphere and the lower stratosphere, was used as an indicator of atmospheric perturbation. As a result of the analysis, pre-seismic mesoscale temperature anomalies were identified, which were localized near the epicentral areas and could be caused by processes occurring in the lithosphere during periods of earthquake preparation. Peak intensity of atmospheric disturbances was observed 1–7 days before the considered events, which can be interpreted as a manifestation of atmospheric gravity waves. Pre-seismic effects were also detected in changes in wind patterns. The analysis of wind speed variation hodographs within the altitude range under examination (~5–25 km) confirmed that pre-seismic periods were characterized by a predominantly upward transfer of wave energy. The combination of these two satellite data sets allowed obtaining more detailed information about atmospheric effects of large earthquakes.
Keywords: satellite measurements, temperature, wind speed, earthquake, upper troposphere, lower stratosphere, STA/LTA criterion, integral parameter, anomaly, hodograph
Full text

References:

  1. Gokhberg M. B., Shalimov S. L., Vozdeistvie zemletryasenii i vzryvov na ionosferu (Influence of earthquakes and explosions to ionosphere), Moscow: Nauka, 2008, 295 p. (in Russian).
  2. Kashkin V. B., Inner gravity waves in the troposphere, Optika atmosfery i okeana, 2013, V. 26, No. 10, pp. 908–916 (in Russian).
  3. Lin’kov E. M., Petrova L. N., Osipov K. Ts., Seismogravitational pulsations of the Earth and atmospheric disturbances as possible precursors of strong earthquakes, Doklady AN SSSR, 1990, V. 313, No. 5, pp. 1095–1098 (in Russian).
  4. Sverdlik L. G., Identification of pre-seismic atmospheric perturbations using modified STA/LTA criterion, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 3, pp. 141–149 (in Russian), DOI: 10.21046/2070-7401-2021-18-3-141-149.
  5. Sverdlik L. G., Atmospheric effects of the largest earthquakes in the Alpine-Himalayan seismic belt, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 2, pp. 81–90 (in Russian), DOI: 10.21046/2070-7401-2022-19-2-81-90.
  6. Sverdlik L. G., Dynamics of perturbations in the lower atmosphere in seismically active regions of Asia, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 2, pp. 144–152 (in Russian), DOI: 10.21046/2070-7401-2023-20-2-144-152.
  7. Sverdlik L. G., Seismic-atmospheric effects in changes in meteorological parameters of the lower atmosphere according to satellite measurements, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 2, pp. 122–130 (in Russian), DOI: 10.21046/2070-7401-2024-21-2-122-130.
  8. Sverdlik L. G., Ibraev A. E., Use of the modified STA/LTA algorithm for detection pre-seismic temperature perturbations in the lower atmosphere, Vestnik KRSU, 2022, V. 22, No. 12, pp. 190–196 (in Russian), DOI: 10.36979/1694-500X-2022-22-12-190-196.
  9. Sverdlik L. G., Ibraev A. E., Programma “IPPLA” (Identification of Preseismic Perturbations in the Lower Atmosphere) (Program IPPLA (Identification of Preseismic Perturbations in the Lower Atmosphere)), Certificate of state registration of software No. 2023612499 (RU), Reg. 03.02.2023 (in Russian).
  10. Biswas S., Kundu S., Sasmal S. et al., Preseismic perturbations and their inhomogeneity as computed from ground- and space-based investigation during the 2016 Fukushima earthquake, J. Sensors, 2023, V. 2023, Article 7159204, DOI: 10.1155/2023/7159204.
  11. Freund F. T., Mansouri Daneshvar M. R., Ebrahimi M., Atmospheric storm anomalies prior to major earthquakes in the Japan region, Sustainability, 2022, V. 14, Iss. 16, Article 10241, DOI: 10.3390/su141610241.
  12. Gavrilov N. M., Fukao S., Numerical and the MU radar estimations of gravity wave enhancement and turbulent ozone fluxes near the tropopause, Annales Geophysicae, 2004, V. 22, pp. 3889–3898, DOI: 10.5194/angeo-22-3889-2004.
  13. Hoinka K. P., Statistics of the global tropopause pressure, Monthly Weather Review, 1998, V. 126, Iss. 12, pp. 3303–3325, DOI: 10.1175/1520-0493(1998)126<3303:SOTGTP>2.0.CO;2.
  14. Jiao Z., Shan X., Pre-seismic temporal integrated anomalies from multiparametric remote sensing data, Remote Sensing, 2022, V. 14, Iss. 10, Article 2343, DOI: 10.3390/rs14102343.
  15. Kundu S., Chowdhury S., Ghosh S. et al., Seismogenic anomalies in atmospheric gravity waves as observed from SABER/TIMED satellite during large earthquakes, J. Sensors, 2022, V. 2022, Article 3201104, DOI: 10.1155/2022/3201104.
  16. Ma W., Zhang X., Liu J. et al., Influences of multiple layers of air temperature differences on tidal forces and tectonic stress before, during and after the Jiujiang earthquake, Remote Sensing of Environment, 2018, V. 210, pp. 159–165, DOI: 10.1016/j.rse.2018.03.003.
  17. Mehdi S., Shah M., Naqvi N. A., Lithosphere atmosphere ionosphere coupling associated with the 2019 Mw 7.1 California earthquake using GNSS and multiple satellites, Environmental Monitoring and Assessment, 2021, V. 193, Article 501, DOI: 10.1007/s10661-021-09278-6.
  18. Panchal H., Saraf A. K., Das J., Dwivedi D., Satellite based detection of pre-earthquake thermal anomaly, co-seismic deformation and source parameter modelling of past earthquakes, Natural Hazards Research, 2022, V. 2, Iss. 4, pp. 287–303, DOI: 10.1016/j.nhres.2022.12.001.
  19. Réchou A., Kirkwood S., Arnault J., Dalin P., Short vertical-wavelength inertia-gravity waves generated by a jet–front system at Arctic latitudes — VHF radar, radiosondes and numerical modelling, Atmospheric Chemistry and Physics, 2014, V. 14, pp. 6785–6799, DOI: 10.5194/acp-14-6785-2014.
  20. Shao J., Zhang J., Tian Y. et al., Tropospheric gravity waves increase the likelihood of double tropopauses, Geophysical Research Letters, 2023, V. 50, Article e2023GL105724, DOI: 10.1029/2023GL105724.
  21. Strelnikova I., Baumgarten G., Lübken F.-J., Advanced hodograph-based analysis technique to derive gravity-wave parameters from lidar observations, Atmospheric Measurement Techniques, 2020, V. 13, pp. 479–499, DOI: 10.5194/amt-13-479-2020.
  22. Tramutoli V., Corrado R., Filizzola C. et al., From visual comparison to Robust Satellite Techniques: 30 years of thermal infrared satellite data analyses for the study of earthquake preparation phases, Bollettino di Geofisica Teorica ed Applicata, 2015, V. 56, No. 2, pp. 167–202, DOI: 10.4430/bgta0149.
  23. Xu X., Chen S., Yu Y., Zhang S., Atmospheric anomaly analysis related to Ms > 6.0 earthquakes in China during 2020–2021, Remote Sensing, 2021, V. 13, Iss. 20, Article 4052, DOI: 10.3390/rs13204052.
  24. Xu X., Chen S., Zhang S., Dai R., Analysis of potential precursory pattern at Earth surface and the above atmosphere and ionosphere preceding two Mw ≥ 7 earthquakes in Mexico in 2020–2021, Earth and Space Science, 2022, V. 9, Iss. 10, Article e2022EA002267, DOI: 10.1029/2022EA002267.
  25. Zhang Y., Meng Q., Wang Z. et al., Temperature variations in multiple air layers before the Mw 6.2 2014 Ludian earthquake, Yunnan, China, Remote Sensing, 2021, V. 13, Iss. 5, Article 884, DOI: 10.3390/rs13050884.