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Local wavelet correlation: application to timing analysis of multi-satellite CLUSTER data

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    0432141 - ÚFA 2015 RIV DE eng J - Journal Article
    Souček, Jan - Dudok de Wit, T. - Dunlop, M. - Decreau, P.
    Local wavelet correlation: application to timing analysis of multi-satellite CLUSTER data.
    Annales Geophysicae. Roč. 22, č. 12 (2004), s. 4185-4196. ISSN 0992-7689. E-ISSN 1432-0576
    R&D Projects: GA ČR GA205/01/1064
    Institutional research plan: CEZ:AV0Z3042911
    Keywords : radio science (signal processing) * space plasma physics (discontinuities) * instruments and techniques
    Subject RIV: DG - Athmosphere Sciences, Meteorology
    Impact factor: 1.610, year: 2004
    http://www.ann-geophys.net/22/4185/2004/angeo-22-4185-2004.pdf

    Multi-spacecraft space observations, such as those of CLUSTER, can be used to infer information about local plasma structures by exploiting the timing differences between subsequent encounters of these structures by individual satellites. We introduce a novel wavelet-based technique, the Local Wavelet Correlation (LWC), which allows one to match the corresponding signatures of large-scale structures in the data from multiple spacecraft and determine the relative time shifts between the crossings. The LWC is especially suitable for analysis of strongly non-stationary time series, where it enables one to estimate the time lags in a more robust and systematic way than ordinary cross-correlation techniques. The technique, together with its properties and some examples of its application to timing analysis of bow shock and magnetopause crossing observed by CLUSTER, are presented. We also compare the performance and reliability of the technique with classical discontinuity analysis methods.
    Permanent Link: http://hdl.handle.net/11104/0236609

     
     
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