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Selam Moonlet Formation

Simulated formation of Dinkinesh’s moon Selam, identified as the first confirmed “contact binary” moon.


Animated model of the formation of the asteroid Dinkinesh’s moon Selam. Dinkinesh’s tiny moon was likely built from multiple low-speed collisions between small moonlets, making it the first confirmed “contact binary” moon. The current understanding is that Selam formed not from two, but at least four separate bodies. This simulation shows the Moonlet merger forming the characteristic ridge on the inner lobe of Selam (Selam A), which matches the observations obtained from NASA’s Lucy mission.

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Earth Sciences advance

Simplified 2-D depth-time diagram representing how the Earth Sciences advance through direct and indirect observations, and physical and conceptual modelling.

Simplified 2-D depth-time diagram representing how the Earth Sciences advance through direct (e.g., rock record) and indirect (e.g., geophysical data) observations, and physical and conceptual modelling.

  • Creator: Fabio Crameri
  • This version: 06.10.2022
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri inspired by Gerya (2014) is available via the open-access s-Ink.org repository.
  • Related reference: Gerya, T. (2014). Precambrian geodynamics: concepts and models. Gondwana Research, 25(2), 442-463.
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Geodynamic modelling philosophies

The two overarching geodynamic modelling philosophies: Specific modelling and generic modelling.

The two overarching geodynamic modelling philosophies. (a) Specific modelling and (b) generic modelling have different scientific goals and need to be used, communicated, and reviewed differently.

  • Creator: Fabio Crameri
  • This version: 12.11.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri from van Zelst et al. (2021) is available via the open-access s-ink.org repository.
  • Related reference: van Zelst, I., F. Crameri, A.E. Pusok, A.C. Glerum, J. Dannberg, C. Thieulot (2022), 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth, Solid Earth, 13, 583–637, doi:10.5194/se-13-583-2022
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Manuscript structure (geodynamic modelling)

Manuscript structure for a geodynamic numerical modelling study following the IMRAD structure.

Manuscript structure for a geodynamic numerical modelling study following the IMRAD structure. In particular, the methods section should include a description of the physical and numerical model, the design of the study, and of any techniques used to visualise and analyse the numerical data.

  • Creator: Fabio Crameri
  • This version: 12.11.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri from van Zelst et al. (2021) is available via the open-access s-ink.org repository.
  • Related reference: van Zelst, I., F. Crameri, A.E. Pusok, A.C. Glerum, J. Dannberg, C. Thieulot (2022), 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth, Solid Earth, 13, 583–637, doi:10.5194/se-13-583-2022
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Geodynamic modelling problems

Common numerical problems in geodynamic modelling including drunken sailor instability, chequerboard patterns, and mesh dependency.

Common numerical problems in geodynamic modelling. (a) They include a Rayleigh-Taylor instability problem termed „drunken sailor“ instability, which arises from a numerical time step that is too large (e.g. Kaus et al., 2010; Rose et al., 2017) for the stress perturbations deriving from surface topography due to the typical crust-air density difference being much larger than density differences inside the Earth. The large time step size leads to a fast sloshing of the surface, as seen from the velocity vectors. Note that the vectors in the model without stabilisation are scaled down by one order of magnitude. The high velocities also lead to overshooting of the advected compositional field, i.e., values exceed 1. (b) The lid-driven cavity model (e.g. Erturk et al., 2005; Erturk, 2009; Thieulot, 2014) demonstrates the need for smoothing the pressure field when using Q1 x P0 elements in the finite element method. (c) Extension of a visco-plastic medium with shear bands forming at a viscous weak seed along the bottom (e.g. Lemiale et al., 2008; Kaus, 2010; Spiegelman et al., 2016; Glerum et al., 2018). The angle and thickness of the shear bands is dependent on the mesh resolution. Regularised plasticity implementations and sufficient resolution are required to achieve convergence with resolution (e.g. Duretz et al., 2020).

  • Creator: Fabio Crameri
  • This version: 12.11.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri from van Zelst et al. (2021) is available via the open-access s-ink.org repository.
  • Related reference: van Zelst, I., F. Crameri, A.E. Pusok, A.C. Glerum, J. Dannberg, C. Thieulot (2022), 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth, Solid Earth, 13, 583–637, doi:10.5194/se-13-583-2022
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Geodynamic modelling procedure

The procedure of a geodynamic modelling study.

The procedure of a geodynamic modelling study encompasses everything from the assemblage of both a physical and a numerical models based on a verified numerical code, to the design of a simplified model setup based on a certain modelling philosophy, the validation of the model through careful testing, the unbiased analysis of the produced model output, the oral, written, and graphical communication of the modelling approach and results, and the management of both software and data. Constant (re-)evaluation and potential subsequent adjustments of previous steps are key, and indeed necessary, throughout this process.

  • Creator: Fabio Crameri
  • This version: 11.11.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri from van Zelst et al. (2021) is available via the open-access s-ink.org repository.
  • Related reference: van Zelst, I., F. Crameri, A.E. Pusok, A.C. Glerum, J. Dannberg, C. Thieulot (2022), 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth, Solid Earth, 13, 583–637, doi:10.5194/se-13-583-2022
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