Improved Responses with Multitaper Spectral Analysis for Magnetotelluric Time Series Data Processing

Examples from Field Data

Abstract (2024)
Author(s)

Matthew J. Comeau (TU Delft - Applied Geophysics and Petrophysics)

Rafael Rigaud (ETH Zürich)

Johanna Plett (University of Münster)

Michael Becken (University of Münster)

Alexey Kuvshinov (ETH Zürich)

Research Group
Applied Geophysics and Petrophysics
DOI related publication
https://doi.org/10.1111/1755-6724.15226
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Applied Geophysics and Petrophysics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
S1
Volume number
98
Pages (from-to)
14–17
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In order to attain good quality transfer function estimates from magnetotelluric field data (i.e., smooth behavior and small uncertainties across all frequencies), we compare time series data processing with and without a multitaper approach for spectral estimation. There are several common ways to increase the reliability of the Fourier spectral estimation from experimental (noisy) data; for example to subdivide the experimental time series into segments, taper these segments (using single taper), perform the Fourier transform of the individual segments, and average the resulting spectra. To further reduce the bias of spectral estimation, a multitaper approach can be adopted. In this approach, a number of orthogonal taper functions are used to generate independent estimates, from the same time segment, which are subsequently averaged. We apply multitaper spectral analysis to magnetotelluric time series data and we show examples of responses from field data. The results clearly show that this approach improves the transfer function responses, often significantly, particularly at the long periods.

Files

Acta_Geologica_Sinica_Eng_-_20... (pdf)
(pdf | 1.9 Mb)
- Embargo expired in 29-05-2025
License info not available