Local wavelet correlation: applicationto timing analysis of multi-satellite CLUSTER data
- 1Institute of Atmospheric Physics, Prague, Czech Republic
- 2LPCE, CNRS and University of Orléans, 3A, avenue de la Recherche Scientifique, F–45071 Orléans cedex 2, France
- 3Space Science and Technology Department, CCLRC Rutherford Appleton Laboratory, Chilton, Oxfordshire OX11 0QX, UK
Abstract. 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.
Key words. Radio science (signal processing) – Space plasma physics (discontinuities; instruments and techniques)