Preprints
https://doi.org/10.5194/gmdd-7-5993-2014
https://doi.org/10.5194/gmdd-7-5993-2014

Submitted as: development and technical paper 11 Sep 2014

Submitted as: development and technical paper | 11 Sep 2014

Review status: this preprint was under review for the journal GMD. A revision for further review has not been submitted.

Integration of Geographic Information System frameworks into domain discretisation and meshing processes for geophysical models

A. S. Candy1, A. Avdis1, J. Hill1, G. J. Gorman1, and M. D. Piggott1,2 A. S. Candy et al.
  • 1Applied Computation and Modelling Group, Department of Earth Science and Engineering, Imperial College London, London, UK
  • 2Grantham Institute for Climate Change, Imperial College London, London, UK

Abstract. Computational simulations of physical phenomena rely on an accurate discretisation of the model domain. Numerical models have increased in sophistication to a level where it is possible to support terrain-following boundaries that conform accurately to real physical interfaces, and resolve a multiscale of spatial resolutions. Whilst simulation codes are maturing in this area, pre-processing tools have not developed significantly enough to competently initialise these problems in a rigorous, efficient and recomputable manner. In the relatively disjoint field of Geographic Information Systems (GIS) however, techniques and tools for mapping and analysis of geographical data have matured significantly.

If data provenance and recomputability are to be achieved, the manipulation and agglomeration of data in the pre-processing of numerical simulation initialisation data for geophysical models should be integrated into GIS. A new approach to the discretisation of geophysical domains is presented, and introduced with a verified implementation. This brings together the technologies of geospatial analysis, meshing and numerical simulation models. This platform enables us to combine and build up features, quickly drafting and updating mesh descriptions with the rigour that established GIS tools provide. This, combined with the systematic workflow, supports a strong provenance for model initialisation and encourages the convergence of standards.

A. S. Candy et al.

 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

A. S. Candy et al.

A. S. Candy et al.

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