Automated detection of Pi2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring

Details Automated detection of Pi2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring Automated detection of Pi2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring

Sep 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998ep%26s...50..773n&link_type=abstract

Earth, Planets and Space, Volume 50, p. 773-783.

Physics

20

Scientific paper

Wavelet analysis is suitable for investigating waves, such as Pi2 pulsations, which are limited in both time and frequency. We have developed an algorithm to detect Pi2 pulsations by wavelet analysis. We tested the algorithm and found that the results of Pi2 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 1second, 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 Pi2 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 Pi2 pulsations automatically at Mineyama observatory. The detection results for the period of February to August 1996 showed that the rate of successful detection of Pi2 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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