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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 model complexity

Different model complexities for the heart (top) and the Earth (bottom).

Different model complexities for the heart (top) and the Earth (bottom). A simpler model can be more useful: the basic shape of the heart has likely become the most successful model, indeed a true icon, only because it was neither too complex (it can be reproduced easily), nor too simple (its characteristic shape is still recognisable). Finding the right level of complexity is challenging and must repeatedly be considered carefully by the modeller for each new modelling task at hand.

  • 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 model simplification

Potential options for geodynamic model simplification.

Potential options for geodynamic model simplification. Note that ‘multiphysics’ is meant beyond the already coupled system.

  • 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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Effective visualisation (geodynamic modelling)

Effective visualisation through a scientific use of colours.

Effective visualisation through a scientific use of colours. Non-scientific colour maps (a,b) like rainbow always misrepresent data, are often not intuitive, and are inaccessible to a large portion of the readers, while scientific colour maps (c,d) like lajolla or vik (Crameri et al., 2020) ensure unbiased and intuitive data representation and are inclusive to readers with colour-vision deficiencies and even colour blindness.

  • 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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Governing equations

The governing equations of numerical modelling include conservation of mass, momentum, and energy with different types of rheology.

The governing equations of geodynamic numerical modelling include conservation of mass, momentum, and energy with different types of rheology. ρ is the density, t is time, v the velocity vector, σ the stress tensor, g the gravitational acceleration vector, Cp the heat capacity, T the temperature, k the thermal conductivity, H a volumetric heat production term (e.g., due to radioactive decay) and the term S = S + S2 + S3 accounts for friction heating, adiabatic heating, and the release or consumption of latent heat (e.g., associated with phase changes), respectively. Note that the plastic rheology depicted here is the geodynamic approximation of brittle failure.

  • Creator: Fabio Crameri
  • This version: 19.01.2022
  • 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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