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Journal Articles Geophysical Journal International Year : 2016

Global tomography using seismic hum

A. Haned
M. Schimmel
  • Function : Author
S. Kiselev
  • Function : Author
A. Davaille
A. Yelles-Chaouche
  • Function : Author


We present a new upper-mantle tomographic model derived solely from hum seismic data. Phase correlograms between station pairs are computed to extract phase-coherent signals. Correlograms are then stacked using the time-frequency phase-weighted stack method to build-up empirical Green's functions. Group velocities and uncertainties are measured in the wide period band of 30-250 s, following a resampling approach. Less data are required to extract reliable group velocities at short periods than at long periods, and 2 yr of data are necessary to measure reliable group velocities for the entire period band. Group velocities are first regionalized and then inverted versus depth using a simulated annealing method in which the number and shape of splines that describes the S-wave velocity model are variable. The new S-wave velocity tomographic model is well correlated with models derived from earthquakes in most areas, although in India, the Dharwar craton is shallower than in other published models.
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Dates and versions

insu-03581680 , version 1 (20-02-2022)





A. Haned, E. Stutzmann, M. Schimmel, S. Kiselev, A. Davaille, et al.. Global tomography using seismic hum. Geophysical Journal International, 2016, 204, pp.1222-1236. ⟨10.1093/gji/ggv516⟩. ⟨insu-03581680⟩
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