Earthquake Science

, Volume 24, Issue 6, pp 557–564

Atmosphere-ionosphere response to the M9 Tohoku earthquake revealed by multi-instrument space-borne and ground observations: Preliminary results

  • Dimitar Ouzounov
  • Sergey Pulinets
  • Alexey Romanov
  • Alexander Romanov
  • Konstantin Tsybulya
  • Dmitri Davidenko
  • Menas Kafatos
  • Patrick Taylor
Article

Abstract

We retrospectively analyzed the temporal and spatial variations of four different physical parameters characterizing the state of the atmosphere and ionosphere several days before the M9 Tohoku, Japan earthquake of March 11, 2011. The data include outgoing long wave radiation (OLR), GPS/TEC, lower Earth orbit ionospheric tomography and critical frequency foF2. Our first results show that on March 7th a rapid increase of emitted infrared radiation was observed from the satellite data and an anomaly developed near the epicenter. The GPS/TEC data indicate an increase and variation in electron density reaching a maximum value on March 8. Starting from this day in the lower ionosphere also there was confirmed an abnormal TEC variation over the epicenter. From March 3 to 11 a large increase in electron concentration was recorded at all four Japanese ground-based ionosondes, which returned to normal after the main earthquake. The joint preliminary analysis of atmospheric and ionospheric parameters during the M9 Tohoku, Japan earthquake has revealed the presence of related variations of these parameters implying their connection with the earthquake process. This study may lead to a better understanding of the response of the atmosphere/ionosphere to the great Tohoku earthquake.

Key words

Tohoku earthquake thermal anomaly GPS/TEC earthquake precursor early warning 

CLC number

P315.72+

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Afraimovich E L, Astafyeva E I, Oinats, Yasukevich Y V and Zhivetiev I V (2008). Global electron content: A new conception to track solar activity. Ann Geophys26: 335–344.CrossRefGoogle Scholar
  2. Cervone G, Maekawa S, Singh R P, Hayakawa M, Kafatos M and Shvets A (2006). Surface latent heat flux and nighttime LF anomalies prior to the MW=8.3 Tokachi-Oki earthquake. Nat Hazards Earth Syst Sci6: 109–114.CrossRefGoogle Scholar
  3. Gruber A and Krueger A (1984). The status of the NOAA outgoing longwave radiation dataset. Bull Amer Meteorol Soc65: 958–962.CrossRefGoogle Scholar
  4. Inan S, Akgu T, Seyis C, Saatc R, Baykut S, Ergintav S and Bas M (2008). Geochemical monitoring in the Marmara region (NW Turkey): A search for precursors of seismic activity. J Geophys Res113: B03401, doi:10.1029/2007JB005206.Google Scholar
  5. Kanamori H, Miyazawa M and Mori J (2006). Investigation of the earthquake sequence off Miyagi prefecture with historical seismograms. Earth Planets Space58: 1 533–1 541.CrossRefGoogle Scholar
  6. Kon S, Nishihashi M and Hattori K (2010). Ionospheric anomalies possibly associated with M≥6.0 earthquakes in the Japan area during 1998–2010: Case studies and statistical study. Journal of Asian Earth Sciences41(4–5): 410–420, doi:10.1016/j.jseases.2010.10.005.Google Scholar
  7. Kunitsyn V and Tereshchenko E (2001). Ionosphere Tomography. Springer, Berlin, 260pp.Google Scholar
  8. Liu D (2000). Anomalies analyses on satellite remote sensing OLR before Jiji earthquake of Taiwan Province. Geo-Information Science2(1): 33–36 (in Chinese with English abstract).Google Scholar
  9. Liu J Y, Chuo Y J, Shan S J, Tsai Y B, Chen Y I, Pulinets S A and Yu S B (2004). Pre-earthquake ionospheric anomalies registered by continuous GPS TEC measurement. Ann Geophys22: 1 585–1 593.CrossRefGoogle Scholar
  10. Mehta A and Susskind J (1999). Outgoing longwave radiation from the TOVS Pathfinder path A data set. J Geophys Res104(D10): 12 193–12 212.CrossRefGoogle Scholar
  11. Němec F, Santolík O, Parrot M and Berthelier J J (2009). Spacecraft observations of electromagnetic perturbations connected with seismic activity. Geophys Res Lett35: L05109, doi:10.1029/2007GL032517.Google Scholar
  12. Ohring G and Gruber A (1982). Satellite radiation observations and climate theory. Adv Geophys25: 237–304.CrossRefGoogle Scholar
  13. Omori Y, Yasuoka Y, Nagahama H, Kawada Y, Ishikawa T, Tokonami S and Shinogi M (2007). Anomalous radon emanation linked to preseismic electromagnetic phenomena. Nat Hazards Earth Syst Sci7: 629–635.CrossRefGoogle Scholar
  14. Ondoh T (2009). Investigation of precursory phenomena in the ionosphere, atmosphere and groundwater before large earthquakes ofM>6.5. Adv Space Res43: 214–223.CrossRefGoogle Scholar
  15. Ouzounov D, Bryant N, Logan T, Pulinets S and Taylor P (2006). Satellite thermal IR phenomena associated with some of the major earthquakes in 1999–2004. Phys Chem Earth31: 154–163.CrossRefGoogle Scholar
  16. Ouzounov D, Liu D, Kang C, Cervone G, Kafatos M and Taylor P (2007). Outgoing long wave radiation variability from IR satellite data prior to major earthquakes. Tectonophysics431: 211–220.CrossRefGoogle Scholar
  17. Ouzounov D, Pulinets S, Hattori K, Kafatos M and Taylor P (2011a). Atmospheric signals associated with major earthquakes: A multi-sensor approach. In: Hayakawa M ed. Frontier of Earthquake Short-term Prediction Study. NSTSS, Japan (in press)Google Scholar
  18. Ouzounov D, Hattori K, Pulinets S, Liu T, Partot M, Kafatos M, Taylor P, Yang F, Oyama K and Kon S (2011b). Integrated sensing, analysis and validation of atmospheric signals associated with major earthquakes. Geophysical Research Abstracts, Vol. 13, EGU2011-11932-1, EGU General Assembly.Google Scholar
  19. Oyama K-I, Kakinami Y, Liu J Y, Abdu M A and Cheng C Z (2011). Latitudinal distribution of anomalous ion density as a precursor of a large earthquake. J Geophys Res116: A04319, doi:10.1029/2010JA015948.Google Scholar
  20. Parrot M (2009). Anomalous seismic phenomena: View from space in electromagnetic phenomena associated with earthquakes. In: Hayakawa M ed. Electromagnetic Phenomena Associated with Eatrhquakes Transworld Research Network, Trivandrum, India, Chapter 8, 205–234.Google Scholar
  21. Prasad B S N, Nagaraja T K, Chandrashekara M S, Paramesh L and Madhava M S (2005). Diurnal and seasonal variations of radioactivity and electrical conductivity near the surface for a continental location Mysore, India. Atmospheric Research76: 65–77.CrossRefGoogle Scholar
  22. Pulinets S and Boyarchuk K (2004). Ionospheric Precursors of Earthquakes. Springer, Berlin, Germany, 315pp.Google Scholar
  23. Pulinets S, Gaivoronska T A, Leyva-Contreras A and Ciraolo L (2004). Correlation analysis technique revealing ionospheric precursors of earthquakes. Nat Hazards Earth Syst Sci4: 697–702.CrossRefGoogle Scholar
  24. Pulinets S and Ouzounov D (2011). Lithosphereatmosphere-ionosphere coupling (LAIC) model: An unified concept for earthquake precursors validation. Journal of Asian Earth Sciences41(4–5): 371–382.CrossRefGoogle Scholar
  25. Pulinets S, Ouzounov D, Karelin A, Boyarchuk K and Pokhmelnykh L (2006). The physical nature of thermal anomalies observed before strong earthquakes. Physics and Chemistry of the Earth31: 143–153.CrossRefGoogle Scholar
  26. Pulinets S, Kotsarenko A N, Ciraolo L and Pulinets I A (2007). Special case of ionospheric day-to-day variability associated with earthquake preparation. Adv Space Res39: 970–977.CrossRefGoogle Scholar
  27. Pulinets S A, Romanov A A, Urlichich Yu M, Romanov A A, Doda J L N and Ouzounov D (2009). The first results of the pilot project on complex diagnosing earthquake precursors on Sakhalin. Geomagnetism and Aeronomy49(1): 115–123.CrossRefGoogle Scholar
  28. Romanov A A, Trusov S V and Romanov A A (2009). Automated information technology for ionosphere monitoring of low-orbit navigation satellite signals. In: Proceedings of the Fourth Workshop on the Okhotsk Sea and Adjacent Areas North Pacific. PICES Sci. Rep. No. 36, 203–207.Google Scholar
  29. Tramutoli V, Bello Di G, Pergola N and Piscitelli S (2001). Robust satellite techniques for remote sensing of seismically active areas. Ann Geophys44(2): 295–312.Google Scholar
  30. Tramutoli V, Cuomo V, Filizzola C, Pergola N and Pietrapertosa C (2005). Assessing the potential of thermal infrared satellite surveys for monitoring seismically active areas. The case of Kocaeli [Izmit] earthquake, August 17th, 1999. Remote Sensing of Environment96: 409–426.CrossRefGoogle Scholar
  31. Tronin A, Hayakawa M and Molchanov O (2002). Thermal IR satellite data application for earthquake research in Japan and China. J Geodynamics33: 519–534.CrossRefGoogle Scholar
  32. Toutain J-P and Baubron J-C (1998). Gas geochemistry and seismotectonics: A review. Tectonophysics304: 1–27.CrossRefGoogle Scholar
  33. Xiong P, Shen X H, Bi Y X, Kang C L, Chen L Z, Jing F and Chen Y (2010). Study of outgoing longwave radiation anomalies associated with Haiti earthquake. Nat Hazards Earth Syst Sci10: 2 169–2 178.CrossRefGoogle Scholar

Copyright information

© The Seismological Society of China and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dimitar Ouzounov
    • 1
    • 2
  • Sergey Pulinets
    • 3
    • 5
  • Alexey Romanov
    • 4
  • Alexander Romanov
    • 4
  • Konstantin Tsybulya
    • 3
  • Dmitri Davidenko
    • 3
  • Menas Kafatos
    • 1
  • Patrick Taylor
    • 2
  1. 1.Department of PhysicsChapman UniversityOrangeUSA
  2. 2.NASA Goddard Space Flight CenterGreenbeltUSA
  3. 3.Institute of Applied GeophysicsMoscowRussia
  4. 4.Russian Space SystemsMoscowRussia
  5. 5.Space Research Institute RASMoscowRussia

Personalised recommendations