Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study
Abstract
Non-linear inverse problems arising in seismology are usually addressed either by linearization or by Monte Carlo methods. Neither approach is flawless. The former needs an accurate starting model; the latter is computationally intensive. Both require careful tuning of inversion parameters. An additional challenge is posed by joint inversion of data of different sensitivities and noise levels such as receiver functions and surface wave...
Paper Details
Title
Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study
Published Date
Dec 16, 2019
Journal
Volume
24
Issue
1
Pages
101 - 120
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