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Anisotropic mesh adaptivity for multi-scale ocean modelling
M D Piggott1, P E Farrell, C R Wilson
1Department of Earth Science and Engineering, Imperial College London, London, UK. m.d.piggott@imperial.ac.uk
Unstructured mesh methods in oceanography can be computationally expensive. This study introduces an optimization-based mesh adaptivity approach to improve efficiency by focusing resolution where needed, especially for anisotropic features.
Area of Science:
- Oceanography
- Computational Science
- Numerical Modeling
Background:
- Unstructured mesh methods offer advantages in oceanographic modeling for domain representation and non-uniform resolution.
- A significant challenge is the high computational cost compared to structured mesh methods.
- Mesh adaptivity is crucial for enhancing the efficiency of unstructured mesh models.
Purpose of the Study:
- To investigate an optimization-based approach for mesh adaptivity in oceanographic models.
- To specifically address the capture of anisotropic solution characteristics.
- To compare the performance of different resolution strategies.
Main Methods:
- Developed an optimization-based algorithm for mesh adaptivity.
- Focused on adapting mesh resolution to capture anisotropic features.
- Conducted comparative simulations using uniform isotropic, isotropic adaptive, and anisotropic adaptive resolutions.
Main Results:
- The proposed anisotropic adaptive resolution strategy shows potential for improving computational efficiency.
- Comparisons highlight differences in results based on resolution types.
- Anisotropic adaptivity effectively targets resolution for complex solution features.
Conclusions:
- Optimization-based anisotropic mesh adaptivity is a promising technique for reducing computational cost in oceanographic models.
- This approach enhances the competitiveness of unstructured mesh methods.
- Further research can refine these adaptive techniques for broader application.
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