Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8598
AuthorsDe Michelis, P.* 
Consolini, G.* 
Tozzi, R.* 
TitleOn the multi-scale nature of large geomagnetic storms: an empirical mode decomposition analysis
Issue DateNov-2012
Series/Report no.6 / 19 (2012)
DOI10.5194/npg-19-667-2012
URIhttp://hdl.handle.net/2122/8598
Keywordsgeomagnetic storms
Empirical Mode Decomposition
magnetospheric dynamics
Subject Classification01. Atmosphere::01.03. Magnetosphere::01.03.02. Magnetic storms 
01. Atmosphere::01.03. Magnetosphere::01.03.03. Magnetospheric physics 
05. General::05.07. Space and Planetary sciences::05.07.01. Solar-terrestrial interaction 
AbstractComplexity and multi-scale are very common properties of several geomagnetic time series. On the other hand, it is amply demonstrated that scaling properties of geomagnetic time series show significant changes depending on the geomagnetic activity level. Here, we study the multiscale features of some large geomagnetic storms by applying the empirical mode decomposition technique. This method, which is alternative to traditional data analysis and is designed specifically for analyzing nonlinear and nonstationary data, is applied to long time series of Sym-H index relative to periods including large geomagnetic disturbances. The spectral and scaling features of the intrinsic mode functions(IMFs) into which Sym-H time series can be decomposed, as well as those of the Sym-H time series itself, are studied considering different geomagnetic activity levels. The results suggest an increase of dynamical complexity and multi-scale properties for intermediate geomagnetic activity levels.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
npg2012.pdf2.08 MBAdobe PDFView/Open
Show full item record

Page view(s)

301
Last Week
0
Last month
0
checked on Jul 20, 2017

Download(s)

138
checked on Jul 20, 2017

Google ScholarTM

Check

Altmetric