 |
| Titel |
Rank ordering multifractal analysis of the auroral electrojet index |
| VerfasserIn |
G. Consolini, P. Michelis |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 3 ; Nr. 18, no. 3 (2011-05-06), S.277-285 |
| Datensatznummer |
250013917
|
| Publikation (Nr.) |
 copernicus.org/npg-18-277-2011.pdf |
|
|
|
|
|
| Zusammenfassung |
| 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). |
| |
|
| Teil von |
|
|
|
|
|
|
|
|