Papers

Peer-reviewed
Mar, 2015

Numerical modeling of seismic waves for estimating the influence of the Greenland ice sheet on observed seismograms

POLAR SCIENCE
  • Genti Toyokuni
  • ,
  • Hiroshi Takenaka
  • ,
  • Masaki Kanao
  • ,
  • Seiji Tsuboi
  • ,
  • Yoko Tono

Volume
9
Number
1
First page
80
Last page
93
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1016/j.polar.2014.12.001
Publisher
ELSEVIER SCIENCE BV

We calculate regional synthetic seismograms for a realistic structure model beneath Greenland, including surface topography and ice sheet thickness, for observations of the multinational GreenLand Ice Sheet monitoring Network (GLISN). The thick and heterogeneous Greenland ice sheet can cause distortion of the seismic waveforms observed at the GLISN stations on ice. We developed a numerical technique that calculates accurate regional seismic wavefields with low computational requirements. Here, we calculate the elastic wave propagation up to 2 Hz for four structural models of the Greenland ice sheet from a seismic source at various depths and with different mechanisms. Our computations for a realistic ice sheet model, the near-surface seismic source produced a very characteristic wave train with a group velocity smaller than the S-wavespeed in the ice, considered to be an ice-sheet guided S wave, developed by the superposition of post-critical reflections between the free surface and the ice bed. We named this wave "Le", analogous to the Lg wave, a crustally guided S wave. Furthermore, computation for a deeper seismic source resulted in reinforcement of the crustal Sg-coda wave with a group velocity range of similar to 3.1-2.6 km/s, which agrees with the characteristic waveform observed on the Greenland ice sheet. (C) 2014 Elsevier B.V. and NIPR. All rights reserved.

Link information
DOI
https://doi.org/10.1016/j.polar.2014.12.001
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000350993700008&DestApp=WOS_CPL
ID information
  • DOI : 10.1016/j.polar.2014.12.001
  • ISSN : 1873-9652
  • eISSN : 1876-4428
  • Web of Science ID : WOS:000350993700008

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