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Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13...

Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2346355090

Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study

About this item

Full title

Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study

Publisher

Dordrecht: Springer Netherlands

Journal title

Journal of seismology, 2020-02, Vol.24 (1), p.101-120

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

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 dat...

Alternative Titles

Full title

Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2346355090

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2346355090

Other Identifiers

ISSN

1383-4649

E-ISSN

1573-157X

DOI

10.1007/s10950-019-09888-1

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