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.
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
Viewed
Total article views: 21,983 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 15,552 | 6,218 | 213 | 21,983 | 861 | 223 | 238 |
- HTML: 15,552
- PDF: 6,218
- XML: 213
- Total: 21,983
- Supplement: 861
- BibTeX: 223
- EndNote: 238
Total article views: 16,309 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 13,153 | 2,991 | 165 | 16,309 | 485 | 186 | 207 |
- HTML: 13,153
- PDF: 2,991
- XML: 165
- Total: 16,309
- Supplement: 485
- BibTeX: 186
- EndNote: 207
Total article views: 5,674 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,399 | 3,227 | 48 | 5,674 | 376 | 37 | 31 |
- HTML: 2,399
- PDF: 3,227
- XML: 48
- Total: 5,674
- Supplement: 376
- BibTeX: 37
- EndNote: 31
Viewed (geographical distribution)
Total article views: 21,983 (including HTML, PDF, and XML)
Thereof 20,628 with geography defined
and 1,355 with unknown origin.
Total article views: 16,309 (including HTML, PDF, and XML)
Thereof 15,222 with geography defined
and 1,087 with unknown origin.
Total article views: 5,674 (including HTML, PDF, and XML)
Thereof 5,406 with geography defined
and 268 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
21 citations as recorded by crossref.
- Designing Low-Cost Open-Hardware Electromechanical Scientific Equipment: A Geological Analogue Modeling Sandbox F. Machado et al. https://doi.org/10.1109/ACCESS.2023.3262617
- Impact of convergence rate and slab dip angle on island-arc magma generation Y. Bai et al. https://doi.org/10.1007/s00343-025-4222-1
- 3D geometric modelling of the Northwest Pacific slabs: A review and new high-precision model J. Wang et al. https://doi.org/10.1016/j.earscirev.2023.104351
- Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations D. Degen et al. https://doi.org/10.5194/gmd-16-7375-2023
- Rifting Venus: Insights From Numerical Modeling A. Regorda et al. https://doi.org/10.1029/2022JE007588
- A Review of Numerical Simulation Tools for Coupling Earth’s Interior and Lithospheric Stress Fields D. Zhang et al. https://doi.org/10.3390/app16010039
- Exploiting physics-based machine learning to quantify geodynamic effects – insights from the Alpine region D. Degen et al. https://doi.org/10.5194/gmd-18-9219-2025
- Modeling Deep Rooted Thrust Mechanism of Crustal Thickening in Eastern Tibet P. Pitard et al. https://doi.org/10.1029/2023GL104134
- Rockwall erosion rate inferred from in situ 10Be concentration of supraglacial clasts: a review L. Courtial-Manent et al. https://doi.org/10.5194/gh-80-339-2025
- Continuous data assimilation for problems with limited regularity using non-interpolant observables V. Yushutin https://doi.org/10.1515/jnma-2025-0046
- Mantle-wedge alteration facilitates intra-oceanic subduction initiation along a pre-existing fault zone M. Izumi et al. https://doi.org/10.1016/j.tecto.2023.229908
- Evolution and prospects of Earth system models: Challenges and opportunities X. Pan et al. https://doi.org/10.1016/j.earscirev.2024.104986
- Mechanical Behavior of Tailings Sands: A Numerical Analysis using the UBCSAND Constitutive Model R. Reyes Roque et al. https://doi.org/10.48084/etasr.10380
- A Discussion on Geodynamic Modeling Methodology: Inferences from Numerical Models in the Anatolian Plate E. ŞENGÜL ULUOCAK https://doi.org/10.25288/tjb.1318091
- Importance of basement faulting and salt decoupling for the structural evolution of the Fars Arc (Zagros fold-and-thrust belt): a numerical modeling approach F. Gomar et al. https://doi.org/10.5194/se-15-1479-2024
- The effect of temperature-dependent material properties on simple thermal models of subduction zones I. van Zelst et al. https://doi.org/10.5194/se-14-683-2023
- More efficient reproducible research in hydrology: moving research down the academic career scale (MRDTACS) R. Hut & C. Hall https://doi.org/10.1098/rsta.2024.0296
- Mechanism of Structure Variations at Rifted Margins in the Central Segment of South Atlantic: Insights from Numerical Modeling Z. WANG et al. https://doi.org/10.1111/1755-6724.15067
- The role of continental lithospheric thermal structure in the evolution of orogenic systems: application to the Himalayan–Tibetan collision zone M. Liu et al. https://doi.org/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. https://doi.org/10.1007/s11227-023-05469-9
- The Future of Earth Imaging V. Tsai https://doi.org/10.1785/0220230125
21 citations as recorded by crossref.
- Designing Low-Cost Open-Hardware Electromechanical Scientific Equipment: A Geological Analogue Modeling Sandbox F. Machado et al. https://doi.org/10.1109/ACCESS.2023.3262617
- Impact of convergence rate and slab dip angle on island-arc magma generation Y. Bai et al. https://doi.org/10.1007/s00343-025-4222-1
- 3D geometric modelling of the Northwest Pacific slabs: A review and new high-precision model J. Wang et al. https://doi.org/10.1016/j.earscirev.2023.104351
- Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations D. Degen et al. https://doi.org/10.5194/gmd-16-7375-2023
- Rifting Venus: Insights From Numerical Modeling A. Regorda et al. https://doi.org/10.1029/2022JE007588
- A Review of Numerical Simulation Tools for Coupling Earth’s Interior and Lithospheric Stress Fields D. Zhang et al. https://doi.org/10.3390/app16010039
- Exploiting physics-based machine learning to quantify geodynamic effects – insights from the Alpine region D. Degen et al. https://doi.org/10.5194/gmd-18-9219-2025
- Modeling Deep Rooted Thrust Mechanism of Crustal Thickening in Eastern Tibet P. Pitard et al. https://doi.org/10.1029/2023GL104134
- Rockwall erosion rate inferred from in situ 10Be concentration of supraglacial clasts: a review L. Courtial-Manent et al. https://doi.org/10.5194/gh-80-339-2025
- Continuous data assimilation for problems with limited regularity using non-interpolant observables V. Yushutin https://doi.org/10.1515/jnma-2025-0046
- Mantle-wedge alteration facilitates intra-oceanic subduction initiation along a pre-existing fault zone M. Izumi et al. https://doi.org/10.1016/j.tecto.2023.229908
- Evolution and prospects of Earth system models: Challenges and opportunities X. Pan et al. https://doi.org/10.1016/j.earscirev.2024.104986
- Mechanical Behavior of Tailings Sands: A Numerical Analysis using the UBCSAND Constitutive Model R. Reyes Roque et al. https://doi.org/10.48084/etasr.10380
- A Discussion on Geodynamic Modeling Methodology: Inferences from Numerical Models in the Anatolian Plate E. ŞENGÜL ULUOCAK https://doi.org/10.25288/tjb.1318091
- Importance of basement faulting and salt decoupling for the structural evolution of the Fars Arc (Zagros fold-and-thrust belt): a numerical modeling approach F. Gomar et al. https://doi.org/10.5194/se-15-1479-2024
- The effect of temperature-dependent material properties on simple thermal models of subduction zones I. van Zelst et al. https://doi.org/10.5194/se-14-683-2023
- More efficient reproducible research in hydrology: moving research down the academic career scale (MRDTACS) R. Hut & C. Hall https://doi.org/10.1098/rsta.2024.0296
- Mechanism of Structure Variations at Rifted Margins in the Central Segment of South Atlantic: Insights from Numerical Modeling Z. WANG et al. https://doi.org/10.1111/1755-6724.15067
- The role of continental lithospheric thermal structure in the evolution of orogenic systems: application to the Himalayan–Tibetan collision zone M. Liu et al. https://doi.org/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. https://doi.org/10.1007/s11227-023-05469-9
- The Future of Earth Imaging V. Tsai https://doi.org/10.1785/0220230125
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 15 Jun 2026
Download
- Article
(7495 KB) - Full-text XML
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,...