HR: 0830h
AN: GP21A-0034    [PDF]
TI: Time-frequency analysis of CHAMP scalar and vector magnetic data
AU: * Balasis, G
EM: gbalasis@gfz-potsdam.de
AF: GeoForschungsZentrum, Potsdam, Telegrafenberg, Potsdam, 14473 Germany
AU: Maus, S
EM: smaus@gfz-potsdam.de
AF: GeoForschungsZentrum, Potsdam, Telegrafenberg, Potsdam, 14473 Germany
AU: Luehr, H
EM: hluehr@gfz-potsdam.d3
AF: GeoForschungsZentrum, Potsdam, Telegrafenberg, Potsdam, 14473 Germany
AU: Rother, M
EM: rother@gfz-potsdam.de
AF: GeoForschungsZentrum, Potsdam, Telegrafenberg, Potsdam, 14473 Germany
AB: Wavelet transforms began to be used in geophysics in the early 1980s for the analysis of seismic signals. The advantage of analyzing a signal with wavelets as the analyzing kernels, is that it enables one to study features of the signal locally with a detail matched to their scale. Owing to their unique time-frequency localization property, wavelet analysis is especially useful for signals that are non-stationary, have short-lived transient components, have features at different scales, or have singularities. Unfortunately, many studies using time-frequency analysis have suffered from an apparent lack of quantitative results. We have applied the continuous wavelet transform to analyze 3 years of Fluxgate and Overhauser magnetometer data of the CHAMP satellite mission. We have detected and classified not only artificial source noise (e.g. instrument problems and pre-processing errors) but also high frequency natural signals of external fields (e.g. F-region currents and pulsations). The results of this analysis will be used for: (a) consequent correction and flagging of the data, (b) derivation of a suitable (undisturbed) dataset for the purposes of crustal and main field modeling, and, (c) study of natural signals (e.g. F-region currents, pulsations) contained in the data.
DE: 1515 Geomagnetic induction
DE: 1517 Magnetic anomaly modeling
SC: Geomagnetism and Paleomagnetism [GP]
MN: 2003 Fall Meeting