A wavelet spectral analysis technique for automatic detection of geomagnetic sudden commencements

Ali G. Hafez, Essam Ghamry, Hideki Yayama, Kiyohumi Yumoto

研究成果: ジャーナルへの寄稿記事

7 引用 (Scopus)

抄録

Maximal overlap discrete wavelet transform is used to perform spectral analysis of geomagnetic storm sudden commencements (SCs) (SSCs). This spectral analysis guided us in the development of an automatic SSC detection algorithm. The SC can be an indicator of the onset of a geomagnetic storm; in this case, it is called an SSC. The geomagnetic records used in this study were 3-s resolution data collected from the Circum-Pan Pacific Magnetometer Network. Using such high-resolution data enabled us to achieve a small detection error and short processing time. In addition to these technical merits, we introduce a new algorithm that automatically detects, for the first time, the SC from high-resolution data (sampled at the rate of 1 sample/3 s), unlike previous studies that focused on determining the SSC times automatically using 1-min data. Ninety-three 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 7 and 18 samples, respectively, of the corresponding manually determined arrival times.

元の言語英語
記事番号6197227
ページ(範囲)4503-4512
ページ数10
ジャーナルIEEE Transactions on Geoscience and Remote Sensing
50
発行部数11 PART1
DOI
出版物ステータス出版済み - 1 1 2012

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Spectrum analysis
spectral analysis
wavelet
geomagnetic storm
Discrete wavelet transforms
Error detection
Magnetometers
magnetometer
arrival time
transform
automatic detection
Testing
Processing
detection

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

これを引用

A wavelet spectral analysis technique for automatic detection of geomagnetic sudden commencements. / Hafez, Ali G.; Ghamry, Essam; Yayama, Hideki; Yumoto, Kiyohumi.

:: IEEE Transactions on Geoscience and Remote Sensing, 巻 50, 番号 11 PART1, 6197227, 01.01.2012, p. 4503-4512.

研究成果: ジャーナルへの寄稿記事

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