Un-decimated discrete wavelet transform based algorithm for extraction of geomagnetic storm sudden commencement onset of high resolution records

  • Authors:

  • Ali G. Hafez;Essam Ghamry;Hideki Yayama;Kiyohumi Yumoto

  • Affiliations:

  • National Research Institute of Astronomy and Geophysics, (NRIAG), Helwan 11722, Egypt and LTLab Inc., Kyushu University, Hakozaki 6-10-1, Japan;National Research Institute of Astronomy and Geophysics, (NRIAG), Helwan 11722, Egypt and Space Weather Monitoring Center (SWMC), Helwan University, Ain Helwan 11795, Egypt;LTLab Inc., Kyushu University, Hakozaki 6-10-1, Japan and Department of Physics, Faculty of Sciences, Kyushu University, Hakozaki 6-10-1, Japan;Space Environment Research Center, Kyushu University, Hakozaki 6-10-1, Japan

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

The automatic detection of the onset time of the geomagnetic storm sudden commencement (SSC) is of great importance for many applications. The distribution of the power along the frequency axis during the SSC was investigated. This analysis guide us to build an SSC automatic detector, for the first time, of one sample per second data based on the un-decimated discrete wavelet transform (DWT), unlike previous studies that focused on determining the SSC times using one-minute resolution data. Using such high-resolution data enabled us to achieve a small detection error and short processing time. One hundred thirty four geomagnetic storms were considered for testing the proposed algorithm; it was found that the average and maximum standard deviation of the errors in the detection times determined by the algorithm were 35 and 44s, respectively, of the corresponding manually determined onset times. The proposed algorithm tested by using continuous period data (six months). The results show the capability of the algorithm to detect the SSCs successfully with low rate of false detections.