Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 16
Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6153-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6153-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 16
Development and technical paper
 | 
19 Aug 2024
Development and technical paper |  | 19 Aug 2024

ShellSet v1.1.0 parallel dynamic neotectonic modelling: a case study using Earth5-049

Jon B. May, Peter Bird, and Michele M. C. Carafa

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Cited articles

Austermann, J., Ben-Avraham, Z., Bird, P., Heidbach, O., Schubert, G., and Stock, J. M.: Quantifying the forces needed for the rapid change of Pacific plate motion at 6 Ma, Earth Planet. Sc. Lett., 307, 289–297, https://doi.org/10.1016/j.epsl.2011.04.043, 2011. a
Baumann, T. S., Kaus, B. J., and Popov, A. A.: Constraining effective rheology through parallel joint geodynamic inversion, Tectonophysics, 631, 197–211, https://doi.org/10.1016/j.tecto.2014.04.037, 2014. a
Bird, P.: Testing hypotheses on plate-driving mechanisms with global lithosphere models including topography, thermal structure, and faults, J. Geophys. Res.-Sol. Ea., 103, 10115–10129, https://doi.org/10.1029/98JB00198, 1998. a
Bird, P., Ben-Avraham, Z., Schubert, G., Andreoli, M., and Viola, G.: Patterns of stress and strain rate in southern Africa, J. Geophys. Res.-Sol. Ea., 111, B08402, https://doi.org/10.1029/2005JB003882, 2006. a
Bird, P., Liu, Z., and Rucker, W. K.: Stresses that drive the plates from below: Definitions, computational path, model optimization, and error analysis, J. Geophys. Res.-Sol. Ea., 113, B11406, https://doi.org/10.1029/2007JB005460, 2008. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z, aa
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ShellSet is a combination of well-known geoscience software packages. It features a simple user interface and is optimised through the addition of a grid search input option (automatically searching for optimal models within a defined N-dimensional parameter space) and the ability to run multiple models in parallel. We show that for each number of models tested there is a performance benefit to parallel running, while two examples demonstrate a use case by improving an existing global model.
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