Articles | Volume 4, issue 2
https://doi.org/10.5194/se-4-357-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-4-357-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Method article
| 
15 Oct 2013
Method article |
| 15 Oct 2013
An objective rationale for the choice of regularisation parameter with application to global multiple-frequency S-wave tomography
C. Zaroli
Institut de Physique du Globe de Strasbourg, UMR7516, Université de Strasbourg, EOST/CNRS, France
M. Sambridge
Research School of Earth Sciences, Australian National University, Canberra ACT 0200, Australia
J.-J. Lévêque
Institut de Physique du Globe de Strasbourg, UMR7516, Université de Strasbourg, EOST/CNRS, France
E. Debayle
Laboratoire de Géologie de Lyon, UMR5276, CNRS, Université Lyon 1 et ENS de Lyon, France
G. Nolet
Géoazur, Université de Nice Sophia-Antipolis, UMR6526, CNRS, France
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Cited
17 citations as recorded by crossref.
- Global mantle flow retrodictions for the early Cenozoic using an adjoint method: evolving dynamic topographies, deep mantle structures, flow trajectories and sublithospheric stresses S. Ghelichkhan et al. 10.1093/gji/ggab108
- Robust global mantle flow trajectories and their validation via dynamic topography histories A. Taiwo et al. 10.1093/gji/ggad188
- Petrophysical Joint Inversion Applied to Alpine Permafrost Field Sites to Image Subsurface Ice, Water, Air, and Rock Contents C. Mollaret et al. 10.3389/feart.2020.00085
- Joint inversion of normal-mode and finite-frequencyS-wave data using an irregular tomographic grid C. Zaroli et al. 10.1093/gji/ggv388
- Global Rayleigh wave phase-velocity maps from finite-frequency tomography K. Liu & Y. Zhou 10.1093/gji/ggv555
- Impact of model inconsistencies on reconstructions of past mantle flow obtained using the adjoint method L. Colli et al. 10.1093/gji/ggaa023
- Global S-wave tomography using receiver pairs: an alternative to get rid of earthquake mislocation C. Zaroli et al. 10.1093/gji/ggu312
- Global seismic tomography using Backus–Gilbert inversion C. Zaroli 10.1093/gji/ggw315
- Seismic tomography using parameter-free Backus–Gilbert inversion C. Zaroli 10.1093/gji/ggz175
- Retrodictions of Mid Paleogene mantle flow and dynamic topography in the Atlantic region from compressible high resolution adjoint mantle convection models: Sensitivity to deep mantle viscosity and tomographic input model L. Colli et al. 10.1016/j.gr.2017.04.027
- Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time S. Ghelichkhan et al. 10.5194/gmd-17-5057-2024
- Traveltime dispersion in an isotropic elastic mantle: strong lower-mantle signal in differential-frequency residuals B. Schuberth et al. 10.1093/gji/ggv389
- Global mantle structure from multifrequency tomography using P, PP and P-diffracted waves K. Hosseini et al. 10.1093/gji/ggz394
- Model Misfit Minimization Y. Fang et al. 10.1785/0120190079
- Choosing Appropriate Regularization Parameters by Splitting Data into Training and Validation Sets—Application in Global Surface-Wave Tomography Z. Ma et al. 10.1785/0220230032
- Lithosphere rigidity by adjoint-based inversion of interseismic GPS data, application to the Western United States S. Furst et al. 10.1016/j.tecto.2017.03.015
- Assessing large-scale mantle compositional heterogeneity from machine learning analysis of 28 global P- and S-wave tomography models M. Rahimzadeh Bajgiran et al. 10.1093/gji/ggad373
17 citations as recorded by crossref.
- Global mantle flow retrodictions for the early Cenozoic using an adjoint method: evolving dynamic topographies, deep mantle structures, flow trajectories and sublithospheric stresses S. Ghelichkhan et al. 10.1093/gji/ggab108
- Robust global mantle flow trajectories and their validation via dynamic topography histories A. Taiwo et al. 10.1093/gji/ggad188
- Petrophysical Joint Inversion Applied to Alpine Permafrost Field Sites to Image Subsurface Ice, Water, Air, and Rock Contents C. Mollaret et al. 10.3389/feart.2020.00085
- Joint inversion of normal-mode and finite-frequencyS-wave data using an irregular tomographic grid C. Zaroli et al. 10.1093/gji/ggv388
- Global Rayleigh wave phase-velocity maps from finite-frequency tomography K. Liu & Y. Zhou 10.1093/gji/ggv555
- Impact of model inconsistencies on reconstructions of past mantle flow obtained using the adjoint method L. Colli et al. 10.1093/gji/ggaa023
- Global S-wave tomography using receiver pairs: an alternative to get rid of earthquake mislocation C. Zaroli et al. 10.1093/gji/ggu312
- Global seismic tomography using Backus–Gilbert inversion C. Zaroli 10.1093/gji/ggw315
- Seismic tomography using parameter-free Backus–Gilbert inversion C. Zaroli 10.1093/gji/ggz175
- Retrodictions of Mid Paleogene mantle flow and dynamic topography in the Atlantic region from compressible high resolution adjoint mantle convection models: Sensitivity to deep mantle viscosity and tomographic input model L. Colli et al. 10.1016/j.gr.2017.04.027
- Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time S. Ghelichkhan et al. 10.5194/gmd-17-5057-2024
- Traveltime dispersion in an isotropic elastic mantle: strong lower-mantle signal in differential-frequency residuals B. Schuberth et al. 10.1093/gji/ggv389
- Global mantle structure from multifrequency tomography using P, PP and P-diffracted waves K. Hosseini et al. 10.1093/gji/ggz394
- Model Misfit Minimization Y. Fang et al. 10.1785/0120190079
- Choosing Appropriate Regularization Parameters by Splitting Data into Training and Validation Sets—Application in Global Surface-Wave Tomography Z. Ma et al. 10.1785/0220230032
- Lithosphere rigidity by adjoint-based inversion of interseismic GPS data, application to the Western United States S. Furst et al. 10.1016/j.tecto.2017.03.015
- Assessing large-scale mantle compositional heterogeneity from machine learning analysis of 28 global P- and S-wave tomography models M. Rahimzadeh Bajgiran et al. 10.1093/gji/ggad373
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