Magnetotellurics (MT) in mountains—noise, topographic and crustal inhomogeneity effects

Ádám, A.; Szarka, László; Verő, J.; Wallner, Adelheid; Gutdeutsch, Rudolf

doi:10.1016/0031-9201(86)90089-0

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Physics of the Earth and Planetary Interiors

1986

DOI: 10.1016/0031-9201(86)90089-0

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Magnetotellurics (MT) in mountains—noise, topographic and crustal inhomogeneity effects

A. Ádám

László Szarka

J. Verő

et al.

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1988

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Cited by 17 publications

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“…(a) Magnetotelluric record in Lassnitz (Eastern Alps). (b) MT sounding curves(Adfim et al 1981(Adfim et al , 1986.…”

mentioning

confidence: 99%

Application of the telluric and magnetotelluric methods in selection of sites for nuclear plants

Ádám

Verő

1990

Proc. Indian Acad. Sci. (Earth Planet Sci.)

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“…(a) Magnetotelluric record in Lassnitz (Eastern Alps). (b) MT sounding curves(Adfim et al 1981(Adfim et al , 1986.…”

mentioning

confidence: 99%

Application of the telluric and magnetotelluric methods in selection of sites for nuclear plants

Ádám

Verő

1990

Proc. Indian Acad. Sci. (Earth Planet Sci.)

Self Cite

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Nonstationary magnetotelluric data processing with instantaneous parameter

Neukirch

García

2014

JGR Solid Earth

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Citation:Neukirch, M., and X. Garcia (2014), Nonstationary magnetotelluric data processing with instantaneous parameter, J. Geophys. Res. Solid Earth, 119, 1634-1654, doi:10.1002 Abstract Nonstationarity in electromagnetic data affects the computation of Fourier spectra and therefore the traditional estimation of the magnetotelluric (MT) transfer functions (TF). We provide a TF estimation scheme based on an emerging nonlinear, nonstationary time series analysis tool, called empirical mode decomposition (EMD) and show that this technique can handle nonstationary effects with which traditional methods encounter difficulties. In contrast to previous works that employ EMD for MT data processing, we argue the advantages of a multivariate decomposition, highlight the possibility to use instantaneous parameters, and define the homogenization of frequency discrepancies between data channels. Our scheme uses the robust statistical estimation of transfer functions based on robust principal component analysis and a robust iteratively reweighted least squares regression with a Huber weight function. The scheme can be applied with and without aid of any number of available remote reference stations. Uncertainties are estimated by iterating the complete robust regression, including the robust weight computation, with a bootstrap routine. We apply our scheme to synthetic and real data (Southern Africa) with and without nonstationary character and compare different processing techniques to the one presented here. As a conclusion, nonstationary noise can heavily affect Fourier-based MT data processing but the presented nonstationary approach is nonetheless able to extract the impedances.

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Geophysical aspects of man-made electromagnetic noise in the earth—A review

Szarka

1988

Surv Geophys

107

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Magnetotellurics (MT) in mountains—noise, topographic and crustal inhomogeneity effects

Cited by 17 publications

References 4 publications

Application of the telluric and magnetotelluric methods in selection of sites for nuclear plants

Application of the telluric and magnetotelluric methods in selection of sites for nuclear plants

Nonstationary magnetotelluric data processing with instantaneous parameter

Geophysical aspects of man-made electromagnetic noise in the earth—A review

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