Autoregressive Modeling of Geomagnetic Data.

Document Type : Research Studies

Authors

1 Associate Professor., Electronics and Communication Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

2 National Research Institute of Astronomy and Geophysics, Helwan, Cairo.

Abstract

Geomagnetic (GM) data generally appear to have significant organization or  structure. We attempted to determine if GM records could be modeled as an autoregressive  process with a white noise excitation during the short-time period of one month. The  autoregressive (ER) model is then used to synthesize GM signals using AR coefficients and a  white noise excitation with the same propability distribution function as those determined from  the autoregressive model of an ensemble
 of monthly records. Both the original and synthesized  monthly records are then compared using the root-mean-square (rms) amplitude, the number of  zero crossing per month. the number of peaks, and the amplitude distributions of the signals.
The results of examining the synthesized GM records indicate that there are no significant  differences in the values of these parameters. The use of such synthesized GM records may allow  more through testing of forecasting algorithms than is possible with the present limited number  of GM records.

Main Subjects

MEJ- Mansoura Engineering Journal
Volume 20, Issue 2
VOL 20 has Two Issues Issue 2 Consist of Two Parts from ( March to June)
June 1995
Pages 29-40

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