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Cox, Brady R., Teague, David P. (2016) Layering ratios: a systematic approach to the inversion of surface wave data in the absence ofa prioriinformation. Geophysical Journal International, 207 (1) 422-438 doi:10.1093/gji/ggw282

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Reference TypeJournal (article/letter/editorial)
TitleLayering ratios: a systematic approach to the inversion of surface wave data in the absence ofa prioriinformation
JournalGeophysical Journal International
AuthorsCox, Brady R.Author
Teague, David P.Author
Year2016 (October 1)Volume207
Issue1
PublisherOxford University Press (OUP)
DOIdoi:10.1093/gji/ggw282Search in ResearchGate
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Mindat Ref. ID890908Long-form Identifiermindat:1:5:890908:8
GUID0
Full ReferenceCox, Brady R., Teague, David P. (2016) Layering ratios: a systematic approach to the inversion of surface wave data in the absence ofa prioriinformation. Geophysical Journal International, 207 (1) 422-438 doi:10.1093/gji/ggw282
Plain TextCox, Brady R., Teague, David P. (2016) Layering ratios: a systematic approach to the inversion of surface wave data in the absence ofa prioriinformation. Geophysical Journal International, 207 (1) 422-438 doi:10.1093/gji/ggw282
In(2016, October) Geophysical Journal International Vol. 207 (1) Oxford University Press (OUP)

See Also

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Cox, Brady R., Teague, David P. (2017) Erratum: Layering ratios: a systematic approach to the inversion of surface wave data in the absence of a-priori information. Geophysical Journal International, 211 (1) 378 doi:10.1093/gji/ggx319
Vantassel, Joseph P, Cox, Brady R (2020) SWinvert: a workflow for performing rigorous 1-D surface wave inversions. Geophysical Journal International, 224 (2) 1141-1156 doi:10.1093/gji/ggaa426
Vantassel, Joseph P, Kumar, Krishna, Cox, Brady R (2022) Using convolutional neural networks to develop starting models for near-surface 2-D full waveform inversion. Geophysical Journal International, 231 (1) 72-90 doi:10.1093/gji/ggac179
Baumann, T. S. (2016) Appraisal of geodynamic inversion results: a data mining approach. Geophysical Journal International, 207 (2) 667-679 doi:10.1093/gji/ggw279
Cheng, Tianjian, Cox, Brady R, Vantassel, Joseph P, Manuel, Lance (2020) A statistical approach to account for azimuthal variability in single-station HVSR measurements. Geophysical Journal International, 223 (2) 1040-1053 doi:10.1093/gji/ggaa342
Griffiths, Shawn C., Cox, Brady R., Rathje, Ellen M., Teague, David P. (2016) Surface-Wave Dispersion Approach for Evaluating Statistical Models That Account for Shear-Wave Velocity Uncertainty. Journal of Geotechnical and Geoenvironmental Engineering, 142 (11). 4016061pp. doi:10.1061/(asce)gt.1943-5606.0001552
Key, Kerry (2016) MARE2DEM: a 2-D inversion code for controlled-source electromagnetic and magnetotelluric data. Geophysical Journal International, 207 (1) 571-588 doi:10.1093/gji/ggw290
Yang, Pengliang, Brossier, Romain, Métivier, Ludovic, Virieux, Jean (2016) A review on the systematic formulation of 3-D multiparameter full waveform inversion in viscoelastic medium. Geophysical Journal International, 207 (1) 129-149 doi:10.1093/gji/ggw262
Bodin, T., Leiva, J., Romanowicz, B., Maupin, V., Yuan, H. (2016) Imaging anisotropic layering with Bayesian inversion of multiple data types. Geophysical Journal International, 206 (1) 605-629 doi:10.1093/gji/ggw124
Aimar, Mauro, Foti, Sebastiano, Cox, Brady R (2024) Novel techniques for in situ estimation of shear-wave velocity and damping ratio through MASW testing part II: a Monte Carlo algorithm for the joint inversion of phase velocity and phase attenuation. Geophysical Journal International, 237 (1) 525-539 doi:10.1093/gji/ggae050
Deng, Yangfan, Shen, Weisen, Xu, Tao, Ritzwoller, Michael H. (2015) Crustal layering in northeastern Tibet: a case study based on joint inversion of receiver functions and surface wave dispersion. Geophysical Journal International, 203 (1) 692-706 doi:10.1093/gji/ggv321
 
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