Articles | Volume 23, issue 4
https://doi.org/10.5194/npg-23-215-2016
https://doi.org/10.5194/npg-23-215-2016
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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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, https://doi.org/10.5194/angeo-24-3557-2006, 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, https://doi.org/10.1088/0067-0049/202/2/16, 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.
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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.