Articles | Volume 16, issue 11
https://doi.org/10.5194/gmd-16-3221-2023
https://doi.org/10.5194/gmd-16-3221-2023
Development and technical paper
 | 
09 Jun 2023
Development and technical paper |  | 09 Jun 2023

A comparison of 3-D spherical shell thermal convection results at low to moderate Rayleigh number using ASPECT (version 2.2.0) and CitcomS (version 3.3.1)

Grant T. Euen, Shangxin Liu, Rene Gassmöller, Timo Heister, and Scott D. King

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Cited articles

Arndt, D., Bangerth, W., Blais, B., Fehling, M., Gassmöller, R., Heister, T., Heltai, L., Köcher, U., Kronbichler, M., Maier, M., Munch, P., Pelteret, J.-P., Proell, S., Simon, K., Turcksin, B., Wells, D., and Zhang, J.: The deal.II Library, Version 9.3, J. Numer. Math., 29, 171–186, https://doi.org/10.1515/jnma-2021-0081, 2021. a
Bangerth, W., Hartmann, R., and Kanschat, G.: deal. II – A general-purpose object-oriented finite element library, ACM Transactions on Mathematical Software (TOMS), 33, 24–es, https://doi.org/10.1145/1268776.1268779, 2007. a
Bangerth, W., Dannberg, J., Gassmoeller, R., and Heister, T.: ASPECT v2.2.0 (v2.2.0), Zenodo [code], https://doi.org/10.5281/zenodo.3924604, 2020a. a, b
Bangerth, W., Dannberg, J., Gassmoeller, R., and Heister, T.: ASPECT: Advanced Solver for Problems in Earth's ConvecTion, User Manual, Figshare [data set], https://doi.org/10.6084/m9.figshare.4865333.v7, 2020b. a
Bangerth, W., Dannberg, J., Fraters, M., Gassmoeller, R., Glerum, A., Heister, T., Myhill, R., and Naliboff, J.: ASPECT: Advanced Solver for Problems in Earth's ConvecTion, User Manual, Figshare [data set], https://doi.org/10.6084/m9.figshare.4865333.v9, 2022. a, b
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Short summary
Due to the increasing availability of high-performance computing over the past few decades, numerical models have become an important tool for research. Here we test two geodynamic codes that produce such models: ASPECT, a newer code, and CitcomS, an older one. We show that they produce solutions that are extremely close. As methods and codes become more complex over time, showing reproducibility allows us to seamlessly link previously known information to modern methodologies.