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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 7
Ann. Geophys., 24, 1809–1817, 2006
https://doi.org/10.5194/angeo-24-1809-2006
© Author(s) 2006. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 24, 1809–1817, 2006
https://doi.org/10.5194/angeo-24-1809-2006
© Author(s) 2006. This work is distributed under
the Creative Commons Attribution 3.0 License.

  09 Aug 2006

09 Aug 2006

Evidence on a link between the intensity of Schumann resonance and global surface temperature

M. Sekiguchi1, M. Hayakawa1, A. P. Nickolaenko2, and Y. Hobara1,3 M. Sekiguchi et al.
  • 1The University of Electro-Communications, Department of Electronic Engineering, Chofu, Tokyo, Japan
  • 2Usikov’s Institute for Radiophysics and Electronics, National Academy of Science of the Ukraine, Kharkov, Ukraine
  • 3Swedish Institute of Space Physics, Kiruna, Sweden

Abstract. A correlation is investigated between the intensity of the global electromagnetic oscillations (Schumann resonance) with the planetary surface temperature. The electromagnetic signal was monitored at Moshiri (Japan), and temperature data were taken from surface meteorological observations. The series covers the period from November 1998 to May 2002. The Schumann resonance intensity is found to vary coherently with the global ground temperature in the latitude interval from 45° S to 45° N: the relevant cross-correlation coefficient reaches the value of 0.9. It slightly increases when the high-latitude temperature is incorporated. Correspondence among the data decreases when we reduce the latitude interval, which indicates the important role of the middle-latitude lightning in the Schumann resonance oscillations. We apply the principal component (or singular spectral) analysis to the electromagnetic and temperature records to extract annual, semiannual, and interannual variations. The principal component analysis (PCA) clarifies the links between electromagnetic records and meteorological data.

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