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Seismic Noise Interferometry and Distributed Acoustic Sensing (DAS): Inverting for the Firn Layer S ‐Velocity Structure on Rutford Ice Stream, Antarctica

Zhou, Wen ; Butcher, Antony; Brisbourne, Alex M.; Kufner, Sofia-Katerina ORCID iD icon 1; Kendall, J-Michael; Stork, Anna L.
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Abstract:

Firn densification profiles are an important parameter for ice-sheet mass balance and palaeoclimate studies. One conventional method of investigating firn profiles is using seismic refraction surveys, but these are difficult to upscale to large-area measurements. Distributed acoustic sensing (DAS) presents an opportunity for large-scale seismic measurements of firn with dense spatial sampling and easy deployment, especially when seismic noise is used. We study the feasibility of seismic noise interferometry (SI) on DAS data for characterizing the firn layer at the Rutford Ice Stream, West Antarctica. Dominant seismic energy appears to come from anthropogenic noise and shear-margin crevasses. The DAS cross-correlation interferometry yields noisy Rayleigh wave signals. To overcome this, we present two strategies for cross-correlations: (a) hybrid instruments—correlating a geophone with DAS, and (b) stacking of selected cross-correlation panels picked in the tau-p domain. These approaches are validated with results derived from an active survey. Using the retrieved Rayleigh wave dispersion curve, we inverted for a high-resolution 1D S-wave velocity profile down to a depth of 100 m. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000154662
Veröffentlicht am 19.01.2023
Originalveröffentlichung
DOI: 10.1029/2022JF006917
Scopus
Zitationen: 14
Web of Science
Zitationen: 9
Dimensions
Zitationen: 17
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2022
Sprache Englisch
Identifikator ISSN: 2169-9003, 2169-9011
KITopen-ID: 1000154662
Erschienen in Journal of Geophysical Research: Earth Surface
Verlag John Wiley and Sons
Band 127
Heft 12
Seiten Art.Nr.e2022JF006917
Vorab online veröffentlicht am 15.12.2022
Schlagwörter distributed acoustic sensing, noise interferometry, firn, near-surface imaging, glacier, S-velocity model
Nachgewiesen in Scopus
Dimensions
Web of Science
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