Articles | Volume 11, issue 1
Model description paper
17 Jan 2018
Model description paper |  | 17 Jan 2018

Shingle 2.0: generalising self-consistent and automated domain discretisation for multi-scale geophysical models

Adam S. Candy and Julie D. Pietrzak

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Integration of Geographic Information System frameworks into domain discretisation and meshing processes for geophysical models
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Revised manuscript has not been submitted

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Cited articles

Alnæs, M. S., Logg, A., Ølgaard, K. B., Rognes, M. E., and Wells, G. N.: Unified form language: A domain-specific language for weak formulations of partial differential equations, ACM Trans. Math. Softw., 40, 9:1–9:37, 2014.
Arya, S., Mount, D., Netanyahu, N., Silverman, R., and Wu, A.: An optimal algorithm for approximate nearest neighbor searching fixed dimensions, J. ACM, 45, 891–923, 1998.
Balaji, V., Adcroft, A., and Liang, Z.: Gridspec: A standard for the description of grids used in Earth System models, in: Workshop on Community Standards for Unstructured Grids, Oct., 2007.
Candy, A. S.: A consistent approach to unstructured mesh generation for geophysical models, Preprint available at arXiv:1703.08491, in review,, 2016.
Candy, A. S., Avdis, A., Hill, J., Gorman, G. J., and Piggott, M. D.: Integration of Geographic Information System frameworks into domain discretisation and meshing processes for geophysical models, Geosci. Model Dev. Discuss.,, in review, 2014.
Short summary
Shingle is a new approach to describing and generating spatial mesh discretisations for multi-scale geophysical domains. Its novel use of an extendable, hierarchical formal grammar and natural language basis for geophysical features achieves robust reproduction and enables consistent comparison between models. This is designed to support the increase in complexity as models include a greater range of spatial scales and future-proof simulation set-up.