2015
DOI: 10.1002/2014ja020685
|View full text |Cite
|
Sign up to set email alerts
|

On the local Hurst exponent of geomagnetic field fluctuations: Spatial distribution for different geomagnetic activity levels

Abstract: This study attempts to characterize the spatial distribution of the scaling features of the short time scale magnetic field fluctuations obtained from 45 ground-based geomagnetic observatories distributed in the Northern Hemisphere. We investigate the changes of the scaling properties of the geomagnetic field fluctuations by evaluating the local Hurst exponent and reconstruct maps of this index as a function of the geomagnetic activity level. These maps permit us to localize the different latitudinal structure… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
17
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 17 publications
(21 citation statements)
references
References 38 publications
3
17
0
Order By: Relevance
“…Last but not the least, we notice that our results on the latitudinal dependence of permutation entropy and complexity measure confirm previous findings obtained on a single magnetic storm and using a different technique [ De Michelis and Consolini , ]. Consequently, the observed results have a general character and are independent from the method of analysis.…”
Section: Discussionsupporting
confidence: 91%
“…Last but not the least, we notice that our results on the latitudinal dependence of permutation entropy and complexity measure confirm previous findings obtained on a single magnetic storm and using a different technique [ De Michelis and Consolini , ]. Consequently, the observed results have a general character and are independent from the method of analysis.…”
Section: Discussionsupporting
confidence: 91%
“…An alternative method to unveil the characteristic timescales of nonstationary signals is the empirical mode decomposition (EMD) technique, introduced by Huang et al [] [see also Wu and Huang , ], as a preconditioning method for the application of the Hilbert transform. EMD is an adaptive method based on the local characteristics of the data, useful to analyze natural signals [ Vecchio et al , , , ; Alberti et al , ; Vecchio et al , ], also including geomagnetic time series [ De Michelis et al , ; De Michelis and Consolini , ]. Particularly, the EMD does not require to have any “a priori” assumption on the functional form of the basis of the decomposition.…”
Section: Methodsmentioning
confidence: 99%
“…In particular, the characteristic mean frequency f n of all the IMFs is estimated by means of the associated Fourier power spectral density S n ( f ) as fn=0fSn(f)normaldf0Sn(f)normaldf This allows us to obtain the characteristic timescale oscillation of each mode as τn=fn1. Moreover, since the decomposition is local, complete, and orthogonal, the EMD can be used as a filter by reconstructing partial sums of equation in a chosen frequency range [ Laurenza et al , ; Vecchio et al , ; Alberti et al , ; De Michelis and Consolini , ].…”
Section: Methodsmentioning
confidence: 99%
“…One of the possible indication of the existence of the turbulent regime in the ionosphere is the power−law behaviour of the statistical or spectral properties of physical quantities [see, e.g., Kintner Jr., 1976;Sugiura et al, 1982;Heppner et al, 1993;Pulkkinen et al, 2006;Golovchanskaya et al, 2006;Abel et al, 2007;Kozelov et al, 2008;Golovchanskaya and Kozelov, 2010;Cousins and Shepherd, 2010;De Michelis et al, 2015a, 2015b. For this reason, in this work, we focus on the analysis of the scaling properties of the ionospheric electron density to characterize its possible turbulent state, which may play a key role in the generation and in the dynamic of ionospheric inhomogeneities.…”
Section: Methods Of Analysismentioning
confidence: 99%
“…In recent literature, the Hurst exponent has been successfully used to characterise the correlations and the persistent features inherent to magnetic field fluc− tuations observed from the ground [Balasis et al, 2006[Balasis et al, , 2008[Balasis et al, , 2009De Michelis et al, 2015a] and via in situ ionospheric measurements performed by the Swarm mission [De Michelis et al, 2015b;De Michelis et al, 2016;De Michelis et al, 2017]. In this work, we applied the Hurst exponent technique to the electron density fluctuations measured by Swarm in the ionospheric F− layer by performing the same approach of the detrended structure function analysis (DSFA) used by De Michelis et al [2015a] and consisting in the following steps.…”
Section: Methods Of Analysismentioning
confidence: 99%