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Rescaled range analysis of the asymmetry of solar activity

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Abstract

Previous studies of the north-south asymmetry of solar activity (e.g., Carbonell, Oliver, and Ballester, 1993; Oliver and Ballester, 1994) suggest that the asymmetry time series can be represented by means of a multicomponent model made up of a long-term trend, a weak sinusoidal component (with a period close to 12.1 years) and a dominant random process. Here, we have used the rescaled range analysis to study the valuation of the stochastic component of the asymmetry. To avoid the influence of the trend and the sinusoidal component on the result, we have removed both from the original time series. The value obtained for the Hurst exponent (0.717 ± 0.002) suggests that the non-periodic component is a correlated random process.

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References

  • Bendat, J. S. and Piersol, A. G.: 1986, Random Data. Analysis and Measurement Procedures, 2nd ed., John Wiley and Sons, New York, p. 76.

    Google Scholar 

  • Bhattacharya, R. N., Gupta, V. K., and Waymire, E.: 1983, J. Appl. Prob. 20, 649.

    Google Scholar 

  • Carbonell, M., Oliver, R., and Ballester, J. L.: 1993, Astron. Astrophys. 274, 497.

    Google Scholar 

  • Feder, J.: 1988, Fractals, Plenum Press, New York, p. 149.

    Google Scholar 

  • Feder, J.: 1991, in T. Riste and D. Sherrington (eds.), Spontaneous Formation of Space-Time Structures and Criticality, Kluwer Academic Publishers, The Netherlands, p. 113.

    Google Scholar 

  • Garcia, H.: 1990, Solar Phys. 127, 185.

    Google Scholar 

  • Gottman, J. M.: 1981, Time-Series Analysis, Cambridge University Press, Cambridge, p. 102.

    Google Scholar 

  • Howard, R.: 1974, Solar Phys. 38, 59.

    Google Scholar 

  • Hurst, H. E., Black, R. P., and Simaika, Y. M.: 1965, Long-Term Storage: an Experimental Study, Constable, London.

    Google Scholar 

  • Komm, R. W.: 1995, Solar Phys. 156, 17.

    Google Scholar 

  • Mandelbrot, B. B. and Wallis, J. R.: 1969a, Water Resour. Res. 5, 321.

    Google Scholar 

  • Mandelbrot, B. B. and Wallis, J. R.: 1969b, Water Resour. Res. 5, 967.

    Google Scholar 

  • Mesa, O. J. and Poveda, G.: 1993, Water Resour. Res. 29, 3995.

    Google Scholar 

  • Oliver, R. and Ballester, J. L.: 1994, Solar Phys. 152, 481.

    Google Scholar 

  • Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T.: 1988, Numerical Recipes. The Art of Scientific Computing, 3rd ed., Cambridge University Press, Cambrige, pp. 456 and 507.

    Google Scholar 

  • Rabin, D. M., DeVore, C. R., Sheeley, N. R., Harvey, K. L., and Hoeksema, J. T.: 1991, in A. C. Cox, W. C. Livingston, and M. S. Matthews (eds.), Solar Interior and Atmosphere, The University of Arizona Press, Tucson.

    Google Scholar 

  • Roy, J. R.: 1977, Solar Phys. 53, 61.

    Google Scholar 

  • Ruzmaikin, A., Feynman, J., and Robinson, P.: 1994, Solar Phys. 149, 395.

    Google Scholar 

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Oliver, R., Ballester, J.L. Rescaled range analysis of the asymmetry of solar activity. Sol Phys 169, 215–224 (1996). https://doi.org/10.1007/BF00153842

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  • DOI: https://doi.org/10.1007/BF00153842

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