Articles | Volume 13, issue 3
https://doi.org/10.5194/se-13-583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-13-583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| Highlight paper
| 
17 Mar 2022
Review article | Highlight paper |
| 17 Mar 2022
| 17 Mar 2022
101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth
Iris van Zelst
CORRESPONDING AUTHOR
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
Fabio Crameri
Undertone Design, Bern, Switzerland
Centre for Earth Evolution and Dynamics (CEED), University of Oslo, Postbox 1028 Blindern, 0315 Oslo, Norway
Adina E. Pusok
Department of Earth Sciences, University of Oxford, UK
Anne Glerum
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany
Juliane Dannberg
Department of Geological Sciences, University of Florida, USA
Cedric Thieulot
Department of Earth Sciences, Utrecht University, Utrecht, the Netherlands
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Cited
14 citations as recorded by crossref.
- Modeling Deep Rooted Thrust Mechanism of Crustal Thickening in Eastern Tibet P. Pitard et al. 10.1029/2023GL104134
- Designing Low-Cost Open-Hardware Electromechanical Scientific Equipment: A Geological Analogue Modeling Sandbox F. Machado et al. 10.1109/ACCESS.2023.3262617
- Mantle-wedge alteration facilitates intra-oceanic subduction initiation along a pre-existing fault zone M. Izumi et al. 10.1016/j.tecto.2023.229908
- 3D geometric modelling of the Northwest Pacific slabs: A review and new high-precision model J. Wang et al. 10.1016/j.earscirev.2023.104351
- A Discussion on Geodynamic Modeling Methodology: Inferences from Numerical Models in the Anatolian Plate E. ŞENGÜL ULUOCAK 10.25288/tjb.1318091
- The effect of temperature-dependent material properties on simple thermal models of subduction zones I. van Zelst et al. 10.5194/se-14-683-2023
- Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations D. Degen et al. 10.5194/gmd-16-7375-2023
- Mechanism of Structure Variations at Rifted Margins in the Central Segment of South Atlantic: Insights from Numerical Modeling Z. WANG et al. 10.1111/1755-6724.15067
- Rifting Venus: Insights From Numerical Modeling A. Regorda et al. 10.1029/2022JE007588
- The role of continental lithospheric thermal structure in the evolution of orogenic systems: application to the Himalayan–Tibetan collision zone M. Liu et al. 10.5194/se-14-1155-2023
- Parallel algorithm design and optimization of geodynamic numerical simulation application on the Tianhe new-generation high-performance computer J. Yang et al. 10.1007/s11227-023-05469-9
- The Future of Earth Imaging V. Tsai 10.1785/0220230125
- 3D multi-physics uncertainty quantification using physics-based machine learning D. Degen et al. 10.1038/s41598-022-21739-7
- Geodynamic Modeling With Uncertain Initial Geometries A. Spang et al. 10.1029/2021GC010265
12 citations as recorded by crossref.
- Modeling Deep Rooted Thrust Mechanism of Crustal Thickening in Eastern Tibet P. Pitard et al. 10.1029/2023GL104134
- Designing Low-Cost Open-Hardware Electromechanical Scientific Equipment: A Geological Analogue Modeling Sandbox F. Machado et al. 10.1109/ACCESS.2023.3262617
- Mantle-wedge alteration facilitates intra-oceanic subduction initiation along a pre-existing fault zone M. Izumi et al. 10.1016/j.tecto.2023.229908
- 3D geometric modelling of the Northwest Pacific slabs: A review and new high-precision model J. Wang et al. 10.1016/j.earscirev.2023.104351
- A Discussion on Geodynamic Modeling Methodology: Inferences from Numerical Models in the Anatolian Plate E. ŞENGÜL ULUOCAK 10.25288/tjb.1318091
- The effect of temperature-dependent material properties on simple thermal models of subduction zones I. van Zelst et al. 10.5194/se-14-683-2023
- Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations D. Degen et al. 10.5194/gmd-16-7375-2023
- Mechanism of Structure Variations at Rifted Margins in the Central Segment of South Atlantic: Insights from Numerical Modeling Z. WANG et al. 10.1111/1755-6724.15067
- Rifting Venus: Insights From Numerical Modeling A. Regorda et al. 10.1029/2022JE007588
- The role of continental lithospheric thermal structure in the evolution of orogenic systems: application to the Himalayan–Tibetan collision zone M. Liu et al. 10.5194/se-14-1155-2023
- Parallel algorithm design and optimization of geodynamic numerical simulation application on the Tianhe new-generation high-performance computer J. Yang et al. 10.1007/s11227-023-05469-9
- The Future of Earth Imaging V. Tsai 10.1785/0220230125
Latest update: 29 Jun 2024
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Short summary
Geodynamic modelling provides a powerful tool to investigate processes in the Earth’s crust, mantle, and core that are not directly observable. In this review, we present a comprehensive yet concise overview of the modelling process with an emphasis on best practices. We also highlight synergies with related fields, such as seismology and geology. Hence, this review is the perfect starting point for anyone wishing to (re)gain a solid understanding of geodynamic modelling as a whole.
Geodynamic modelling provides a powerful tool to investigate processes in the Earth’s crust,...
