Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4115-2024
https://doi.org/10.5194/gmd-17-4115-2024
Development and technical paper
 | 
21 May 2024
Development and technical paper |  | 21 May 2024

Benchmarking the accuracy of higher-order particle methods in geodynamic models of transient flow

Rene Gassmöller, Juliane Dannberg, Wolfgang Bangerth, Elbridge Gerry Puckett, and Cedric Thieulot

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Cited articles

Adamuszek, M., Dabrowski, M., and Schmid, D. W.: Folder: A numerical tool to simulate the development of structures in layered media, J. Struct. Geol., 84, 85–101, 2016. a
Arndt, D., Fehn, N., Kanschat, G., Kormann, K., Kronbichler, M., Munch, P., Wall, W. A., and Witte, J.: ExaDG: High-Order Discontinuous Galerkin for the Exa-Scale, in: Software for Exascale Computing – SPPEXA 2016-2019, edited by: Bungartz, H.-J., Reiz, S., Uekermann, B., Neumann, P., and Nagel, W. E., Springer International Publishing, Cham, 189–224, https://doi.org/10.1007/978-3-030-47956-5_8, 2020. a
Arndt, D., Bangerth, W., Bergbauer, M., Feder, M., Fehling, M., Heinz, J., Heister, T., Heltai, L., Kronbichler, M., Maier, M., Munch, P., Pelteret, J.-P., Turcksin, B., Wells, D., and Zampini, S.: The deal.II Library, Version 9.5, J. Numer. Math., 31, 231–246, https://doi.org/10.1515/jnma-2023-0089, 2023. a
Arnould, M., Coltice, N., Flament, N., and Mallard, C.: Plate tectonics and mantle controls on plume dynamics, Earth Planet. Sc. Lett., 547, 116439, https://doi.org/10.1016/j.epsl.2020.116439, 2020. a
Baes, M., Sobolev, S., Gerya, T., and Brune, S.: Plume-Induced Subduction Initiation: Single-Slab or Multi-Slab Subduction?, Geochem. Geophy. Geosys., 21, e2019GC008663, https://doi.org/10.3389/feart.2021.766604, 2020. a
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Short summary
Numerical models that use simulated particles are a powerful tool for investigating flow in the interior of the Earth, but the accuracy of these models is not fully understood. Here we present two new benchmarks that allow measurement of model accuracy. We then document that better accuracy matters for applications like convection beneath an oceanic plate. Our benchmarks and methods are freely available to help the community develop better models.