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

0432141 - ÚFA 2015 RIV DE eng J - Článek v odborném periodiku
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
Grant CEP: GA ČR GA205/01/1064
Výzkumný záměr: CEZ:AV0Z3042911
Klíčová slova: radio science (signal processing) * space plasma physics (discontinuities) * instruments and techniques
Kód oboru RIV: DG - Vědy o atmosféře, meteorologie
Impakt faktor: 1.610, rok: 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.
Trvalý link: http://hdl.handle.net/11104/0236609