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An automatic method for detection and classification of Ionospheric Alfvén Resonances using signal and image processing techniques

Beggan, Ciaran D.. 2014 An automatic method for detection and classification of Ionospheric Alfvén Resonances using signal and image processing techniques. [Poster] In: EGU General Assembly 2014, Vienna, Austria, 28 Apr - 2 May 2014. European Geosciences Union. (Unpublished)

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Abstract/Summary

Induction coils permit us to measure the very rapid changes of the magnetic field. In June 2012, the British Geological Survey Geomagnetism team installed two high frequency (100 Hz) induction coil magnetometers at the Eskdalemuir Observatory (55.3° N, 3.2° W, L » 3), in the Scottish Borders of the United Kingdom (Figure 1). The Eskdalemuir Observatory is one of the longest running geophysical sites in the UK (beginning operation in 1908) and is located in a rural valley with a quiet magnetic environment. The coils record magnetic field changes over an effective frequency range of about 0.1–40Hz, and encompass phenomena such as the Schumann resonances, magnetospheric pulsations and Ionospheric Alfvén Resonances (IAR). In this poster we focus on the IAR, which are related to the vibration of magnetic field lines passing through the ionosphere, believed to be mainly excited by lower atmospheric electrical discharges. In order to quantify the daily, seasonal and annual changes of the SRS, we developed a new method to identify the fringes and to quantify their occurrence, frequency (f) and the change in frequency (Df) over time. We present rhe method and results from 18 months of analysed data (Sep 2012 -Feb 2014).

Item Type: Publication - Conference Item (Poster)
NORA Subject Terms: Earth Sciences
Date made live: 04 Apr 2014 15:52
URI: http://nora.nerc.ac.uk/id/eprint/506963

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