The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Thickness and structure of the martian crust from InSight seismic data
Open accessAbstract
Single seismometer structure: Because of the lack of direct seismic observations, the interior structure of Mars has been a mystery. Khan et al. , Knapmeyer-Endrun et al. , and Stähler et al. used recently detected marsquakes from the seismometer deployed during the InSight mission to map the interior of Mars (see the Perspective by Cottaar and Koelemeijer). Mars likely has a 24- to 72-kilometer-thick crust with a very deep lithosphere close to 500 kilometers. Similar to the Earth, a low-velocity layer probably exists beneath the lithosphere. The crust of Mars is likely highly enriched in radioactive elements that help to heat this layer at the expense of the interior. The core of Mars is liquid and large, ∼1830 kilometers, which means that the mantle has only one rocky layer rather than two like the Earth has. These results provide a preliminary structure of Mars that helps to constrain the different theories explaining the chemistry and internal dynamics of the planet. Science , abf2966, abf8966, abi7730, this issue p. 434 , p. 438 , p. 443 see also abj8914, p. 388
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Inverse Problem Theory and Methods for Model Parameter Estimation
Tarantola, A. (2005) · doi:10.1137/1.9780898717921 · Cited by 6,585
Bensen, G. D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F., Moschetti, M. P., Shapiro, N. M., & Yang, Y. (2007) · Geophysical Journal International · doi:10.1111/j.1365-246x.2007.03374.x · Cited by 2,423
Connolly, J. A. D. (2005) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2005.04.033 · Cited by 2,246
The velocity of compressional waves in rocks to 10 kilobars: 1.
Birch, F. (1960) · Journal of Geophysical Research · doi:10.1029/jz065i004p01083 · Cited by 2,239
Structure under Mount Rainier, Washington, inferred from teleseismic body waves
Langston, C. A. (1979) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb084ib09p04749 · Cited by 1,632
Geophysical inversion with a neighbourhood algorithm—I. Searching a parameter space
Sambridge, M. (1999) · Geophysical Journal International · doi:10.1046/j.1365-246x.1999.00876.x · Cited by 1,531
The velocity of compressional waves in rocks to 10 kilobars: 2.
Birch, F. (1961) · Journal of Geophysical Research · doi:10.1029/jz066i007p02199 · Cited by 1,493
Iterative deconvolution and receiver-function estimation
Ligorría, J. P., & Ammon, C. J. (1999) · Bulletin of the Seismological Society of America · doi:10.1785/bssa0890051395 · Cited by 1,398
Monte Carlo sampling of solutions to inverse problems
Mosegaard, K., & Tarantola, A. (1995) · Journal of Geophysical Research: Solid Earth · doi:10.1029/94jb03097 · Cited by 1,342
The TauP Toolkit: Flexible Seismic Travel-time and Ray-path Utilities
Crotwell, H. P., Owens, T. J., & Ritsema, J. (1999) · Seismological Research Letters · doi:10.1785/gssrl.70.2.154 · Cited by 1,037
Metadata
- Authors
- Knapmeyer-Endrun, B., Panning, M. P., Bissig, F., Joshi, R., Khan, A., Kim, D., Lekić, V., Tauzin, B., Tharimena, S., Plasman, M., Compaire, N., Garcia, R. F., Margerin, L., Schimmel, M., Stutzmann, É., Schmerr, N., Bozdağ, E., Plesa, A.-C., Wieczorek, M. A., Broquet, A., Antonangeli, D., McLennan, S. M., Samuel, H., Michaut, C., Pan, L., Smrekar, S. E., Johnson, C. L., Brinkman, N., Mittelholz, A., Rivoldini, A., Davis, P. M., Lognonné, P., Pinot, B., Scholz, J.-R., Stähler, S., Knapmeyer, M., van Driel, M., Giardini, D., & Banerdt, W. B.
- Venue
- Science
- Published
- 2021-07-23
- Volume
- 373
- Issue
- 6553
- Pages
- 438-443
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3184973091
- Cited by
- 282
- References
- 85
- FWCI
- 25.48
- Type
- journal article
- Language
- en
- Open access
- green
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- Knapmeyer-Endrun, B., Panning, M. P., Bissig, F., Joshi, R., Khan, A., Kim, D., Lekić, V., Tauzin, B., Tharimena, S., Plasman, M., Compaire, N., Garcia, R. F., Margerin, L., Schimmel, M., Stutzmann, É., Schmerr, N., Bozdağ, E., Plesa, A.-C., Wieczorek, M. A., . . . Banerdt, W. B. (2021). Thickness and structure of the martian crust from InSight seismic data. Science. https://doi.org/10.1126/science.abf8966
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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