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The Cryosphere An interactive open-access journal of the European Geosciences Union
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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 14 Oct 2019

Submitted as: research article | 14 Oct 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

On the Green’s function emergence from interferometry of seismic wavefields generated in high-melt glaciers: implications for passive imaging and monitoring

Amandine Sergeant1, Malgorzata Chmiel1, Fabian Lindner1, Fabian Walter1, Philippe Roux2, Julien Chaput3, Florent Gimbert2, and Aurélien Mordret4 Amandine Sergeant et al.
  • 1Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zürich, Zürich, Switzerland
  • 2University of Grenoble Alpes, CNRS, IRD, ISTerre, Institut des Géosciences de l’Environnement (IGE), Grenoble, France
  • 3Department of Geological Sciences, University of Texas El Paso, El Paso, USA
  • 4Massachusets Institute of Technology, Boston, USA

Abstract. Ambient noise seismology has revolutionized seismic characterization of the Earth's crust from local to global scales. The elastic Green's function (GF) between two receivers can be reconstructed via cross-correlation of the ambient noise seismograms. An homogenized wavefield illuminating the propagation medium in all directions is a pre-requesite for obtaining accurate GF. For seismic data recorded on glaciers, this condition imposes strong limitations on GF convergence, because of minimal seismic scattering in homogeneous ice. We address this difficulty by investigating three patterns of seismic wavefields: a favourable distribution of icequakes and noise sources recorded on a dense array of 98 sensors on Glacier d'Argentière (France), a dominant noise source constituted by a moulin within a smaller seismic array on the Greenland ice-sheet, and crevasse-generated scattering at Gornergletscher (Switzerland). In Glacier d'Argentière, surface melt routing through englacial channels produces turbulent water flow creating sustained ambient seismic sources and thus favorable conditions for GF estimates. From the velocity measurements of reconstructed Rayleigh waves, we invert bed properties and depth profiles, and map seismic anisotropy, which is likely introduced by crevassing. In Greenland, we employ an advanced pre-processing scheme which include match-field processing and eigenspectral equalization of the cross-spectra to remove the moulin source signature and reduce the effect of inhomogeneous wavefields on the GF. At Gornergletscher, cross-correlations of icequake coda waves show evidence for homogenized wavefields. Optimization of coda correlation windows further promotes the GF convergence. This study presents new processing schemes on suitable array geometries for passive seismic imaging and monitoring of glaciers.

Amandine Sergeant et al.
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Amandine Sergeant et al.
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Publications Copernicus
Short summary
This study explores the capacity to extract the elastic Green's function from continuous passive seismic recordings in ablating glaciers. The Green's function is reconstructed by cross-correlation of ambient noise and icequake seismograms at two seismic sensors deployed directly on the ice. Analysis of the Green's function allows to obtain an image of the glacier's structure, invert for elastic properties of the subsurface and monitor any changes thereof.
This study explores the capacity to extract the elastic Green's function from continuous passive...