Skip to main content

Geocomputing

  • Living reference work entry
  • First Online:
Encyclopedia of Mathematical Geosciences

Synonyms

Computational geosciences; Computational geophysics

Definition

Geocomputing denotes the use of computer simulation in the field of geosciences, especially in geophysics, to test hypotheses, perform parameter studies, or generate models of planetary interiors. Classical examples include the simulation of seismic wave propagation, porous media flow in reservoir studies, convection in the Earth’s mantle, and the geodynamo. Such computational experiments require mathematical-physical equations to describe the system under consideration, numerical algorithms to determine approximate solutions of these equations, and software implementing the latter such that the simulation can be executed on a computer. In order for the computational experiments to not only return qualitative but also quantitative results, measurements from the rich collection of geophysical datasets (e.g., plate velocities, seismic travel times, or gravity data) are incorporated into the simulations. The large...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Bibliography

  • Bauer S, Bunge H-P, Drzisga D, Ghelichkhan S, Huber M, Kohl N, Mohr M, Rüde U, Thönnes D, Wohlmuth B (2020) TerraNeo – mantle convection beyond a Trillion Degrees of Freedom. In: Bungartz H-J, Reiz S, Uekermann B, Neumann P, Nagel W (eds) Software for exascale computing – SPPEXA 2016–2019, vol136 of Lecture notes in computational science and engineering. Springer, pp 569–610. https://doi.org/10.1007/978-3-030-47956-5_19

  • Gustafsson B (2018) Scientific computing – a historical perspective, volume 17 of Texts in Computational Science and Engineering. Springer. https://doi.org/10.1007/978-3-319-69847-2

  • Hager G, Wellein G (2011) Introduction to high performance computing for scientists and engineers. CRC computational science series. CRC Press, Taylor & Francis Group, Boca Raton, London, New York. ISBN 9781439811924

    Google Scholar 

  • Heister T, Dannberg J, Gassmöller R, Bangerth W (2017) High accuracy mantle convection simulation through modern numerical methods – II: realistic models and problems. Geophys J Int 210(2):833–851. https://doi.org/10.1093/gji/ggx195

    Article  Google Scholar 

  • Igel H (2016) Computational seismology: a practical introduction, 1st edn. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198717409.001.0001

    Book  Google Scholar 

  • Ismail-Zadeh A, Tackley P (2010) Computational methods for geodynamics. Cambridge University Press. https://doi.org/10.1017/CBO9780511780820

    Book  Google Scholar 

  • Johann R, Malossi ACI, Isaac T, Stadler G, Gurnis M, Staar PWJ, Ineichen Y, Bekas C, Curioni A, Ghattas O (2015) An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in Earths mantle. In: Proceedings of the international conference for high performance computing, networking, storage and analysis, SC ‘15. ACM, New York, pp 5:1–5:12. https://doi.org/10.1145/2807591.2807675. ACM Gordon Bell Prize 2015

    Chapter  Google Scholar 

  • Komatitsch D, Vilotte J-P (1998) The spectral element method: an efficient tool to simulate the seismic response of 2d and 3d geological structures. Bull Seismol Soc Am 88(2):368–392

    Google Scholar 

  • Schuberth BSA, Zaroli C, Nolet G (2012) Synthetic seismograms for a synthetic Earth: long-period P- and S-wave traveltime variations can be explained by temperature alone. Geophys J Int 188(3):1393–1412. https://doi.org/10.1111/j.1365-246X.2011.05333.x

    Article  Google Scholar 

  • Uphoff C, Rettenberger S, Bader M, Madden EH, Ulrich T, Wollherr S, Gabriel A-A (2017) Extreme scale multi-physics simulations of the tsunamigenic 2004 Sumatra megathrust earthquake. In: Proceedings of the international conference for high performance computing, networking, storage and analysis, SC 2017. https://doi.org/10.1145/3126908.3126948

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marcus Mohr .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Gabriel, AA., Mohr, M., Schuberth, B.S.A. (2021). Geocomputing. In: Daya Sagar, B., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_132-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-26050-7_132-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26050-7

  • Online ISBN: 978-3-030-26050-7

  • eBook Packages: Springer Reference Earth and Environm. ScienceReference Module Physical and Materials ScienceReference Module Earth and Environmental Sciences

Publish with us

Policies and ethics