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  • 1
    Publikationsdatum: 2014-09-11
    Print ISSN: 0895-0695
    Digitale ISSN: 1938-2057
    Thema: Geologie und Paläontologie
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
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    Unbekannt
    In:  Bull. Seism. Soc. Am., Zagreb, 3-4, vol. 90, no. 6, pp. 1369-1383, pp. B06305, (ISSN: 1340-4202)
    Publikationsdatum: 2000
    Schlagwort(e): Teleseismic events ; Seismology ; Hypocentral depth ; Fault plane solution, focal mechanism ; Inversion ; Data analysis / ~ processing ; BSSA
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
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    Unbekannt
    In:  Earth planet. Sci. Lett., Leipzig, 3-4, vol. 124, no. 48, pp. 211-220, pp. L19606, (ISBN: 0-12-018847-3)
    Publikationsdatum: 1994
    Schlagwort(e): Modelling ; Crustal deformation (cf. Earthquake precursor: deformation or strain) ; Fracture ; Stress
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
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    Unbekannt
    In:  Geophys. Res. Lett., Warszawa, Pergamon, vol. 18, no. 4, pp. 2177-2180, pp. L11614, (ISBN: 0534351875, 2nd edition)
    Publikationsdatum: 1991
    Schlagwort(e): Statistical investigations ; Inversion ; Non-linear effects ; GRL
    Standort Signatur Erwartet Verfügbarkeit
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  • 5
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    Unbekannt
    In:  Geophys. J. Int., Tokyo, Dt. Geophys. Ges., vol. 142, no. 1, pp. 37-51, pp. L06615, (ISSN: 1340-4202)
    Publikationsdatum: 2000
    Schlagwort(e): Location ; Seismicity ; entropy ; Three dimensional ; Iceland ; GJI ; Gudmundsson
    Standort Signatur Erwartet Verfügbarkeit
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  • 6
    Publikationsdatum: 2013-10-04
    Beschreibung: [1]  Determining the scale-length, magnitude, and distribution of heterogeneity in the lowermost mantle is crucial to understanding whole mantle dynamics, and yet it remains a much debated and ongoing challenge in geophysics. Common shortcomings of current seismically-derived lowermost mantle models are incomplete raypath coverage, arbitrary model parameterization, inaccurate uncertainty estimates, and an ad hoc definition of the misfit function in the optimization framework. In response, we present a new approach to global tomography. Apart from improving the existing raypath coverage using only high quality cross-correlated waveforms, the problem is addressed within a Bayesian framework where explicit regularization of model parameters is notrequired. We obtain high resolution images, complete with uncertainty estimates, of the lowermost mantle P-wave velocity structure using a hand-picked dataset of PKPab-df, PKPbc-df, and PcP-P differential traveltimes. Most importantly, our results demonstrate that the root mean square of the P-wave velocity variations in the lowermost mantle is approximately 0.87%, which is three times larger than previous global-scale estimates.
    Print ISSN: 0148-0227
    Thema: Geologie und Paläontologie , Physik
    Publiziert von Wiley im Namen von American Geophysical Union (AGU).
    Standort Signatur Erwartet Verfügbarkeit
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  • 7
    Publikationsdatum: 2016-06-18
    Beschreibung: A new approach is presented for the reconstruction of time series and other ( y , x ) functions from observables with any type of stochastic noise. In particular noise may exist in both dependent and independent variables, i.e. y and x , or t , and may even be correlated between these variables. This situation occurs in many areas of the geosciences when the ‘independentÕ time variable is itself the result of a measurement process, such as in paleo sea-level estimation. Uncertainty in the recovered time series is quantified in probabilistic terms using Bayesian Changepoint modelling. The main contribution of the paper is the derivation of a new form of integrated Likelihood function which can measure the data fit for a curve to ( y , t ) observables contaminated by any type of random noise. Closed form expressions are found for the special case of correlated Gaussian data noise and curves built from the sum of piecewise linear polynomials. The technique is illustrated by estimating relative sea-level variations, over the last 5 glacial cycles, from a dataset of 1928 δ 18 measurements. Comparisons are also made with other techniques including those that assume an error free ‘independent’ variable. Experiments illustrate several benefits of accounting for timing errors. These include allowing rigorous uncertainty information of both time dependent signals and their gradients. Derivatives of the integrated Likelihood function are also given, which allow implementation of Likelihood maximization. The new likelihood function better reflects real errors in data and can improve recovery of the estimated time series.
    Print ISSN: 0148-0227
    Thema: Geologie und Paläontologie , Physik
    Publiziert von Wiley im Namen von American Geophysical Union (AGU).
    Standort Signatur Erwartet Verfügbarkeit
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  • 8
    Publikationsdatum: 2011-04-19
    Beschreibung: Coda wave interferometry (CWI) can be used to estimate the separation between a pair of earthquakes directly from the coda recorded at a single station. Existing CWI methodology leads to a single estimate of separation and provides no information on uncertainty. Here, the theory of coda wave interferometry is revisited and modifications introduced that extend the range of applicability by 50% (i.e., 300–450 m separation for 1–5 Hz filtered coda waves). Synthetic experiments suggest that coda wave separation estimates fluctuate around the actual separation and that they have an increased tendency to underestimate the actual separation as the distance between events increases. A Bayesian framework is used to build a probabilistic understanding of the coda wave constraints which accounts for both the fluctuations and bias. The resulting a posteriori function provides a conditional probability distribution of the actual separation given the coda wave constraints. It can be used in isolation, or in combination with other constraints such as travel times or geodetic data, and provides a method for combining data from multiple stations and events. Earthquakes on the Calaveras Fault, California, are used to demonstrate that CWI is relatively insensitive to the number of recording stations and leads to enhanced estimates of separation in situations where station geometry is unfavorable for traditional relative location techniques.
    Print ISSN: 0148-0227
    Thema: Geologie und Paläontologie , Physik
    Publiziert von Wiley im Namen von American Geophysical Union (AGU).
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 9
    Publikationsdatum: 2012-02-03
    Beschreibung: We present a novel method for joint inversion of receiver functions and surface wave dispersion data, using a transdimensional Bayesian formulation. This class of algorithm treats the number of model parameters (e.g. number of layers) as an unknown in the problem. The dimension of the model space is variable and a Markov chain Monte Carlo (McMC) scheme is used to provide a parsimonious solution that fully quantifies the degree of knowledge one has about seismic structure (i.e constraints on the model, resolution, and trade-offs). The level of data noise (i.e. the covariance matrix of data errors) effectively controls the information recoverable from the data and here it naturally determines the complexity of the model (i.e. the number of model parameters). However, it is often difficult to quantify the data noise appropriately, particularly in the case of seismic waveform inversion where data errors are correlated. Here we address the issue of noise estimation using an extended Hierarchical Bayesian formulation, which allows both the variance and covariance of data noise to be treated as unknowns in the inversion. In this way it is possible to let the data infer the appropriate level of data fit. In the context of joint inversions, assessment of uncertainty for different data types becomes crucial in the evaluation of the misfit function. We show that the Hierarchical Bayes procedure is a powerful tool in this situation, because it is able to evaluate the level of information brought by different data types in the misfit, thus removing the arbitrary choice of weighting factors. After illustrating the method with synthetic tests, a real data application is shown where teleseismic receiver functions and ambient noise surface wave dispersion measurements from the WOMBAT array (South-East Australia) are jointly inverted to provide a probabilistic 1D model of shear-wave velocity beneath a given station.
    Print ISSN: 0148-0227
    Thema: Geologie und Paläontologie , Physik
    Publiziert von Wiley im Namen von American Geophysical Union (AGU).
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 10
    Publikationsdatum: 2014-04-16
    Beschreibung: Knowledge of past plate motions derived from ocean–floor finite rotations is an important asset of the Earth Sciences, because it allows linking a variety of shallow– and deep–rooted geological processes. Efforts have recently been taken towards inferring finite rotations at the unprecedented temporal resolution of 1 Myr or less, and more data are anticipated in the near future. These reconstructions, like any data set, feature a degree of noise that compromises significantly our ability to make geodynamical inferences. Bayesian Inference has been recently shown to be effective in reducing the impact of noise on plate kinematics inferred from high–temporal–resolution finite–rotation data sets. We describe REDBACK, an open–source software that implements trans–dimensional hierarchical Bayesian Inference for efficient noise–reduction in plate kinematic reconstructions. Algorithm details are described and illustrated by means of a synthetic test.
    Digitale ISSN: 1525-2027
    Thema: Chemie und Pharmazie , Geologie und Paläontologie , Physik
    Publiziert von Wiley im Namen von American Geophysical Union (AGU).
    Standort Signatur Erwartet Verfügbarkeit
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