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  Bayesian surface wave dispersion inversion of glaciated environments

Lanteri, A., Gebraad, L., Zunino, A., Klaasen, S., Jonsdottir, K., Hofstede, C., Eisen, O., Zigone, D., Fichtner, A. (2023): Bayesian surface wave dispersion inversion of glaciated environments, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-1912

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Datensatz-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017627 Versions-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017627_2
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 Urheber:
Lanteri, Ariane1, Autor
Gebraad, Lars1, Autor
Zunino, Andrea1, Autor
Klaasen, Sara1, Autor
Jonsdottir, Kristin1, Autor
Hofstede, Coen1, Autor
Eisen, Olaf1, Autor
Zigone, Dimitri1, Autor
Fichtner, Andreas1, Autor
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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Schlagwörter: -
 Zusammenfassung: We present a probabilistic approach to the inversion of surface wave dispersion data from glacial environments. This is intended to (i) assess non-linearity and non-uniqueness, and (ii) properly quantify resolution and trade-offs. For this, we use seismic data from Distributed Acoustic Sensing (DAS) experiments deployed on the Vatnajökull ice sheet located on Grímsvötn volcano in Iceland, and the Northeast Greenland Ice Stream (NEGIS). Our method is based on a regularisation-free Bayesian inference approach, implemented using a Hamiltonian Monte Carlo (HMC) algorithm. Exploiting derivative information for efficient sampling of high-dimensional model spaces, HMC approximates the posterior probability densities of all model parameters. Applied specifically to multi-mode surface wave dispersion measurements, HMC yields probabilistic models of 1-D anisotropic stratified media parameterised in terms of the P-wave velocities Vpv and Vph, the S-wave velocities Vsv and Vsh, the anisotropy parameter η, and density ρ. The benefits of this approach, not only from a glaciological perspective, include regularisation-free estimates of firn and ice properties, models that are not a priori biased by the exclusion of all parameters except S-wave speed, and some level of direct access to the vertical density profile.

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Sprache(n): eng - Englisch
 Datum: 2023
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.57757/IUGG23-1912
 Art des Abschluß: -

Veranstaltung

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Titel: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Veranstaltungsort: Berlin
Start-/Enddatum: 2023-07-11 - 2023-07-20

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Titel: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Potsdam : GFZ German Research Centre for Geosciences
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