Computational geophysics

Computational geophysics is the field of study that uses any type of numerical computations to generate and analyze models of complex geophysical systems. It can be considered an extension, or sub-field, of both computational physics and geophysics. In recent years, computational power, data availability, and modelling capabilities have all improved exponentially, making computational geophysics a more populated discipline.[1] Due to the large computational size of many geophysical problems, high-performance computing can be required to handle analysis.[2] Modeling applications of computational geophysics include atmospheric modelling, oceanic modelling, general circulation models, and geological modelling. In addition to modelling, some problems in remote sensing fall within the scope of computational geophysics such as tomography, inverse problems, and 3D reconstruction.

  1. ^ "Computational Geosciences | Jackson School of Geosciences | The University of Texas at Austin". www.jsg.utexas.edu. Retrieved 2019-11-20.
  2. ^ "Advanced Research Computing (ARC)". www.usgs.gov. Retrieved 2019-11-20.

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