Abstract

The multifractal properties of two indices of geomagnetic activity, Dst (representative of low latitudes) and ap (representative of the global geomagnetic activity), with the solar X‐ray brightness, Xl, during the period from 1 March 1995 to 17 June 2003 are examined using multifractal detrended fluctuation analysis (MF‐DFA). The h(q) curves of Dst and ap in the MF‐DFA are similar to each other, but they are different from that of Xl, indicating that the scaling properties of Xl are different from those of Dst and ap. Hence, one should not predict the magnitude of magnetic storms directly from solar X‐ray observations. However, a strong relationship exists between the classes of the solar X‐ray irradiance (the classes being chosen to separate solar flares of class X‐M, class C, and class B or less, including no flares) in hourly measurements and the geomagnetic disturbances (large to moderate, small, or quiet) seen in Dst and ap during the active period. Each time series was converted into a symbolic sequence using three classes. The frequency, yielding the measure representations, of the substrings in the symbolic sequences then characterizes the pattern of space weather events. Using the MF‐DFA method and traditional multifractal analysis, we calculate the h(q), D(q), and τ (q) curves of the measure representations. The τ (q) curves indicate that the measure representations of these three indices are multifractal. On the basis of this three‐class clustering, we find that the h(q), D(q), and τ (q) curves of the measure representations of these three indices are similar to each other for positive values of q. Hence, a positive flare storm class dependence is reflected in the scaling exponents h(q) in the MF‐DFA and the multifractal exponents D(q) and τ (q). This finding indicates that the use of the solar flare classes could improve the prediction of the Dst classes.

Highlights

  • [2] An important aim of solar-terrestrial physics is understanding the causes of geomagnetic activity in general and geomagnetic storms in particular

  • Since solar flares are coincident with many coronal mass ejections (CME) [see, e.g., Zhang et al, 2007], they are useful for prediction of geomagnetic storms [Park et al, 2002; Yermolaev et al, 2005] owing to the shorter propagation times of solar photons

  • Examples include a method to describe the multiple scaling of the measure representation of the Dst time series provided by Wanliss et al [2005]; a prediction method based on the recurrent iterated function system in fractal theory detailed by Anh et al [2005] together with some evaluation of its performance; and a two-dimensional chaos game representation of the Dst index for prediction of geomagnetic storm events was proposed by Yu et al [2007]

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Summary

Introduction

[2] An important aim of solar-terrestrial physics is understanding the causes of geomagnetic activity in general and geomagnetic storms in particular. [6] In this paper, we use MF-DFA and traditional multifractal analysis to study the scaling properties of Dst, ap, and the solar X-ray measurements from the Geostationary Operational Environmental Satellites (GOES) during the March 1995 to June 2003 period. These analyses indicate that there are significant similarities between the scaling properties of the classes of geomagnetic disturbances and those of X-ray flare brightness which have not been previously identified. 0; À1; if if t 1⁄4 0; t < 0: We use the maximum likelihood method to estimate the parameters a, b, g and d in the a-stable distribution and fit the empirical probability density function (PDF) of the Dst time series. The presence of the same substrings in the ap and Dst series as seen in the active period of the Xl time series may indicate a dependence on the Xl time series

Multifractal Analyses
Discussion
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