Seismic Tomography 2024

Fichtner, Andreas; Kennett, Brian L. N.; Tsai, Victor C.; Thurber, Clifford H.; Rodgers, Arthur J.; Tape, Carl; Rawlinson, Nicholas; Borcherdt, Roger D.; Lebedev, Sergei; Priestley, Keith; Morency, Christina; Bozdağ, Ebru; Tromp, Jeroen; Ritsema, Jeroen; Romanowicz, Barbara; Liu, Qinya; Golos, Eva; Lin, Fan-Chi

doi:10.1785/0120230229

Title: Seismic Tomography 2024

Journal Article · 03 May 2024 · Bulletin of the Seismological Society of America

DOI: https://doi.org/10.1785/0120230229 · OSTI ID:2426716

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Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
Australian National Univ., Canberra (Australia)
Brown Univ., Providence, RI (United States)
Univ. of Wisconsin, Madison, WI (United States)
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Univ. of Alaska, Fairbanks, AK (United States)
Univ. of Cambridge (United Kingdom)
US Geological Survey, Menlo Park, CA (United States)
Colorado School of Mines, Golden, CO (United States)
Princeton Univ., NJ (United States)
Univ. of Michigan, Ann Arbor, MI (United States)
Univ. of California, Berkeley, CA (United States)
Univ. of Toronto, ON (Canada)
Univ. of Utah, Salt Lake City, UT (United States)

Seismic tomography is the most abundant source of information about the internal structure of the Earth at scales ranging from a few meters to thousands of kilometers. It constrains the properties of active volcanoes, earthquake fault zones, deep reservoirs and storage sites, glaciers and ice sheets, or the entire globe. It contributes to outstanding societal problems related to natural hazards, resource exploration, underground storage, and many more. The recent advances in seismic tomography are being translated to nondestructive testing, medical ultrasound, and helioseismology. Nearly 50 yr after its first successful applications, this article offers a snapshot of modern seismic tomography. Focused on major challenges and particularly promising research directions, it is intended to guide both Earth science professionals and early-career scientists. The individual contributions by the coauthors provide diverse perspectives on topics that may at first seem disconnected but are closely tied together by a few coherent threads: multiparameter inversion for properties related to dynamic processes, data quality, and geographic coverage, uncertainty quantification that is useful for geologic interpretation, new formulations of tomographic inverse problems that address concrete geologic questions more directly, and the presentation and quantitative comparison of tomographic models. Finally, it remains to be seen which of these problems will be considered solved, solved to some extent, or practically unsolvable over the next decade.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 2426716

Report Number(s):: LLNL--JRNL-854324; 1082701

Journal Information:: Bulletin of the Seismological Society of America, Journal Name: Bulletin of the Seismological Society of America Journal Issue: 3 Vol. 114; ISSN 0037-1106

Publisher:: Seismological Society of AmericaCopyright Statement

Country of Publication:: United States

Language:: English

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Toward Tectonic-Type and Global 1D Seismic Models of the Upper Mantle Constrained by Broadband Surface Waves Civiero, Chiara; Lebedev, Sergei; Xu, Yihe Bulletin of the Seismological Society of America, Vol. 114, Issue 3 https://doi.org/10.1785/0120230295	journal	April 2024
Large‐Scale Seismic Inversion Framework Krischer, Lion; Fichtner, Andreas; Zukauskaite, Saule Seismological Research Letters, Vol. 86, Issue 4 https://doi.org/10.1785/0220140248	journal	June 2015
The Brazilian Seismographic Network (RSBR): Improving Seismic Monitoring in Brazil Bianchi, Marcelo B.; Assumpção, Marcelo; Rocha, Marcelo P. Seismological Research Letters, Vol. 89, Issue 2A https://doi.org/10.1785/0220170227	journal	February 2018
Parsimonious Seismic Tomography with Poisson Voronoi Projections: Methodology and Validation Fang, Hongjian; van der Hilst, Robert D.; de Hoop, Maarten V. Seismological Research Letters, Vol. 91, Issue 1 https://doi.org/10.1785/0220190141	journal	October 2019
The Future of Earth Imaging Tsai, Victor C. Seismological Research Letters, Vol. 94, Issue 5 https://doi.org/10.1785/0220230125	journal	August 2023
A radial model of anelasticity consistent with long-period surface-wave attenuation Durek, Joseph J.; Ekström, Göran Bulletin of the Seismological Society of America, Vol. 86, Issue 1A https://doi.org/10.1785/BSSA08601A0144	journal	February 1996
The spectral element method: An efficient tool to simulate the seismic response of 2D and 3D geological structures Komatitsch, Dimitri; Vilotte, Jean-Pierre Bulletin of the Seismological Society of America, Vol. 88, Issue 2 https://doi.org/10.1785/BSSA0880020368	journal	April 1998
Three-Dimensional Receiver Function Adjoint Tomography for High-resolution Seismic Array Imaging: Methodology and Applications in Southeastern Tibet Xu, Mijian; Wang, Kai; Chen, Jing DR-NTU (Data) https://doi.org/10.21979/N9/MBWEP5	dataset	January 2023
LASIF: LArge-scale Seismic Inversion Framework Thrastarson, Solvi; van Herwaarden, Dirk-Philip; Krischer, Lion https://doi.org/10.31223/X5NC84	preprint	January 2021
Triplicated P-wave measurements for waveform tomography of the mantle transition zone Stähler, S. C.; Sigloch, K.; Nissen-Meyer, T. Solid Earth, Vol. 3, Issue 2 https://doi.org/10.5194/se-3-339-2012	journal	November 2012
Dataset related to article: "REVEAL: A Global Full-Waveform Inversion Model" Thrastarson, Solvi; van Herwaarden, Dirk-Philip; Noe, Sebastian Zenodo https://doi.org/10.5281/zenodo.10684325	dataset	January 2024

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