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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 23, issue 4
Nonlin. Processes Geophys., 23, 215–222, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 23, 215–222, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 02 Aug 2016

Research article | 02 Aug 2016

Spectral characteristics of high-latitude raw 40 MHz cosmic noise signals

Chris M. Hall

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Climatology of the mesopause relative density using a global distribution of meteor radars
Wen Yi, Xianghui Xue, Iain M. Reid, Damian J. Murphy, Chris M. Hall, Masaki Tsutsumi, Baiqi Ning, Guozhu Li, Robert A. Vincent, Jinsong Chen, Jianfei Wu, Tingdi Chen, and Xiankang Dou
Atmos. Chem. Phys., 19, 7567–7581,,, 2019
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Neutral atmosphere temperature trends and variability at 90 km, 70 °N, 19 °E, 2003–2014
Silje Eriksen Holmen, Chris M. Hall, and Masaki Tsutsumi
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Change in turbopause altitude at 52 and 70° N
Chris M. Hall, Silje E. Holmen, Chris E. Meek, Alan H. Manson, and Satonori Nozawa
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A case study on generation mechanisms of a sporadic sodium layer above Tromsø (69.6° N) during a night of high auroral activity
T. Takahashi, S. Nozawa, T. T. Tsuda, Y. Ogawa, N. Saito, T. Hidemori, T. D. Kawahara, C. Hall, H. Fujiwara, N. Matuura, A. Brekke, M. Tsutsumi, S. Wada, T. Kawabata, S. Oyama, and R. Fujii
Ann. Geophys., 33, 941–953,,, 2015
Complexity signatures in the geomagnetic H component recorded by the Tromsø magnetometer (70° N, 19° E) over the last quarter of a century
C. M. Hall
Nonlin. Processes Geophys., 21, 1051–1058,,, 2014

Related subject area

Subject: Time Series, Complex Networks, Stochastic Processes, Extreme Events | Topic: Ionosphere, Magnetosphere, Planetary Science, Solar Science
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Cited articles

Balasis, G., Daglis, I. A., Kapiris, P., Mandea, M., Vassiliadis, D., and Eftaxias, K.: From pre-storm activity to magnetic storms: a transition described in terms of fractal dynamics, Ann. Geophys., 24, 3557–3567,, 2006.
Behera, J. K., Sinha, A. K., Singh A. K., Rawat, R., Vichare, G., Dhar, A., Pathan, B. M., Nair, K. U., Selvaraj, C., and Elango, P.: First results from imaging riometer installed at Indian Antarctic station Maitri, J. Earth Syst. Sci., 123, 593–602, 2014.
Chambers, J. M., Cleveland, W. S., Kleiner, B., and Tukey, P. A.: Graphical Methods for Data Analysis, 395 pp., Duxbury Press, Boston, Massachusetts, 1963.
Canal, C. A. G., Hojvat, C., and Tarutina, T.: Scaler mode of the Auger Observatory and sunspots, Astrophys. J. Suppl., 202, 16–22,, 2012.
Delignieres, D., Ramdani, S., Lemoine, L., Torre, K., Fortes, M., and Ninot, G.: Fractal analyses for `short' time series: A re-assessment of classical methods, J. Math. Psychol., 50, 525–544, 2006.
Publications Copernicus
Short summary
The relative ionospheric opacity meter ("riometer") is a traditional instrument for measuring the degree to which cosmic noise is absorbed by the ionosphere and therefore how energetic the particles – electrons, protons etc. – are that cause the ionisation. We identify the same signatures in the "hour-to-days" timescale variability as reported in solar and geomagnetic disturbances. The result demonstrates the relationship between riometer data and the underlying physics for different timescales.
The relative ionospheric opacity meter ("riometer") is a traditional instrument for measuring...