A wavelet spectral analysis tool for multipoint space and ground-based observations of ULF wave activity

Details A wavelet spectral analysis tool for multipoint space and ground-based observations of ULF wave activity A wavelet spectral analysis tool for multipoint space and ground-based observations of ULF wave activity

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012hell.conf....9d&link_type=abstract

10th Hellenic Astronomical Conference, Proceedings of the conference held at Ioannina, Greece, 5-8 September 2011. Edited by Io

Astronomy and Astrophysics

Astronomy

Scientific paper

Magnetospheric ULF waves influence radiation belt dynamics and are therefore of particular relevance for space weather nowcasting and forecasting efforts. We have used novel algorithms based on wavelet spectral methods to analyze multipoint observations of ULF wave activity by the Cluster and THEMIS missions and by ground-based magnetometers. Wavelet analysis is becoming a common tool for analyzing localized variations of power within a time series. By decomposing a time series into time-frequency space, we are able to determine both the dominant modes of variability and how these modes vary in time. The advantage of analyzing a signal with wavelets as the analyzing kernel is that it enables us to study features of the signal locally with a detail matched to their scale. Owing to its unique time-frequency localization, wavelet analysis is especially useful for signals that are non-stationary, have short-lived transient components, have features at different scales, or have singularities. The results are rather promising for the development of automatic identification tools, which will allow the detection and classification of various categories of ULF waves from multipoint magnetospheric observations according to well-defined criteria.

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