Print Email Facebook Twitter Shingle 2.0 Title Shingle 2.0: Generalising self-consistent and automated domain discretisation for multi-scale geophysical models Author Candy, A.S. (TU Delft Environmental Fluid Mechanics) Pietrzak, J.D. (TU Delft Environmental Fluid Mechanics) Date 2018-01-17 Abstract The approaches taken to describe and develop spatial discretisations of the domains required for geophysical simulation models are commonly ad hoc, model- or application-specific, and under-documented. This is particularly acute for simulation models that are flexible in their use of multi-scale, anisotropic, fully unstructured meshes where a relatively large number of heterogeneous parameters are required to constrain their full description. As a consequence, it can be difficult to reproduce simulations, to ensure a provenance in model data handling and initialisation, and a challenge to conduct model intercomparisons rigorously. This paper takes a novel approach to spatial discretisation, considering it much like a numerical simulation model problem of its own. It introduces a generalised, extensible, self-documenting approach to carefully describe, and necessarily fully, the constraints over the heterogeneous parameter space that determine how a domain is spatially discretised. This additionally provides a method to accurately record these constraints, using high-level natural language based abstractions that enable full accounts of provenance, sharing, and distribution. Together with this description, a generalised consistent approach to unstructured mesh generation for geophysical models is developed that is automated, robust and repeatable, quick-to-draft, rigorously verified, and consistent with the source data throughout. This interprets the description above to execute a self-consistent spatial discretisation process, which is automatically validated to expected discrete characteristics and metrics. Library code, verification tests, and examples available in the repository at https://github.com/shingleproject/Shingle</a. Further details of the project presented at http://shingleproject.org. To reference this document use: http://resolver.tudelft.nl/uuid:40f6f4d6-c4d4-421c-b288-282410a22ebf DOI https://doi.org/10.5194/gmd-11-213-2018 ISSN 1991-959X Source Geoscientific Model Development, 11 (1), 213-234 Part of collection Institutional Repository Document type journal article Rights © 2018 A.S. Candy, J.D. Pietrzak Files PDF gmd_11_213_2018.pdf 10.97 MB Close viewer /islandora/object/uuid:40f6f4d6-c4d4-421c-b288-282410a22ebf/datastream/OBJ/view