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Automatic detection of geomagnetic sudden commencement via time–frequency clusters |
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| Authors: | Ali G Hafez Essam Ghamry |
| Institution: | 1. National Research Institute of Astronomy and Geophysics (NRIAG), El-Marsad Street, Helwan, 11722 Cairo, Egypt;2. LTLab Inc., Kyushu University, 812-8581 Fukuoka-shi, Higashi-ku, Hakozaki 6-10-1, Japan;3. Space Weather Monitoring Center (SWMC), Helwan University, Ain Helwan 11795, Egypt |
| Abstract: | One of global processes in ionosphere–thermosphere–magnetosphere system is the geomagnetic storms. It is of great importance to develop an algorithm that auto-detects sudden commencement because it could be an indicator of onset of the geomagnetic storm. Automatic detection of geomagnetic sudden commencement is based on time–frequency clusters generated by spectrogram. Proposed algorithm is tested on data set collected from stations belong to the international real-time magnetic observatory network (INTERMAGNET). Maximum standard deviation of algorithm detection times is observed to be one minute of the corresponding arrival times published by National Geophysical Data Center (NGDC). |
| Keywords: | Sudden commencement Spectrogram Automatic detection SC timing Wavelet INTERMAGNET |
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