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Automated detection of Pi 2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring

Earth, Planets and Space volume 50, pages 773–783 (1998)Cite this article

Abstract

Wavelet analysis is suitable for investigating waves, such as Pi 2 pulsations, which are limited in both time and frequency. We have developed an algorithm to detect Pi 2 pulsations by wavelet analysis. We tested the algorithm and found that the results of Pi 2 detection are consistent with those obtained by visual inspection. The algorithm is applied in a project which aims at the nowcasting of substorm onsets. In this project we use real-time geomagnetic field data, with a sampling rate of 1 second, obtained at mid- and low-latitude stations (Mineyama in Japan, the York SAMNET station in the U.K., and Boulder in the U.S.). These stations are each separated by about 120° in longitude, so at least one station is on the nightside at all times. We plan to analyze the real-time data at each station using the Pi 2 detection algorithm, and to exchange the detection results among these stations via the Internet. Therefore we can obtain information about substorm onsets in real-time, even if we are on the dayside. We have constructed a system to detect Pi 2 pulsations automatically at Mineyama observatory. The detection results for the period of February to August 1996 showed that the rate of successful detection of Pi 2 pulsations was 83.4% for the nightside (18-06MLT) and 26.5% for the dayside (06-18MLT). The detection results near local midnight (20-02MLT) give the rate of successful detection of 93.2%.

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Authors and Affiliations

  1. Faculty of Science, Kyoto University, Kyoto, 606-8502, Japan

    M. Nosé, T. Iyemori, M. Takeda & T. Kamei

  2. Department of Physics, University of York, York, Y010 5DD, UK

    D. K. Milling, D. Orr & N. Sumitomo

  3. NOAA, Space Environment Center, Boulder, CO, 80303, USA

    H. J. Singer

  4. College Observatory, U.S. Geological Survey, Fairbanks, AK, 99775, USA

    E. W. Worthington

Authors
  1. M. Nosé
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  2. T. Iyemori
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  3. M. Takeda
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  4. T. Kamei
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  5. D. K. Milling
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  6. D. Orr
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  7. H. J. Singer
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  8. E. W. Worthington
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  9. N. Sumitomo
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Correspondence to M. Nosé.

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Nosé, M., Iyemori, T., Takeda, M. et al. Automated detection of Pi 2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring. Earth Planet Sp 50, 773–783 (1998). https://doi.org/10.1186/BF03352169

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  • DOI: https://doi.org/10.1186/BF03352169

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