Automated detection of Pi 2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring
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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%.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Automated detection of Pi 2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring |
| Series title | Earth, Planets and Space |
| DOI | 10.1186/BF03352169 |
| Volume | 50 |
| Issue | 9 |
| Year Published | 1998 |
| Language | English |
| Publisher | Springer |
| Description | 11 p. |
| First page | 773 |
| Last page | 783 |
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