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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 3
Nonlin. Processes Geophys., 18, 277-285, 2011
https://doi.org/10.5194/npg-18-277-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Multifractals and intermittent turbulence in the solar-terrestrial...

Nonlin. Processes Geophys., 18, 277-285, 2011
https://doi.org/10.5194/npg-18-277-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 May 2011

Research article | 06 May 2011

Rank ordering multifractal analysis of the auroral electrojet index

G. Consolini1 and P. De Michelis2,3 G. Consolini and P. De Michelis
  • 1INAF-Istituto di Fisica dello Spazio Interplanetario, 00133 Roma, Italy
  • 2Istituto Nazionale di Geofisica e Vulcanologia, 00143 Roma, Italy
  • 3Dip. Scienze della Terra, Università degli Studi di Siena, 53100 Siena, Italy

Abstract. In the second half of the 90s interest grew on the complex features of the magnetospheric dynamics in response to solar wind changes. An important series of papers were published on the occurrence of chaos, turbulence and complexity. Among them, particularly interesting was the study of the bursty and fractal/multifractal character of the high latitude energy release during geomagnetic storms, which was evidenced by analyzing the features of the Auroral Electrojet (AE) indices. Recently, the multifractal features of the small time-scale increments of AE-indices have been criticized in favor of a more simple fractal behavior. This is particularly true for the scaling features of the probability density functions (PDFs) of the AE index increments. Here, after a brief review of the nature of the fractal/multifractal features of the magnetospheric response to solar wind changes, we investigate the multifractal nature of the scaling features of the AE index increments PDFs using the Rank Ordering Multifractal Analysis (ROMA) technique. The ROMA results clearly demonstrate the existence of a hierarchy of scaling indices, depending on the increment amplitude, for the data collapsing of PDFs relative to increments at different time scales. Our results confirm the previous results by Consolini et al. (1996) and the more recent results by Rypdal and Rypdal (2010).

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