Abstract
We propose to couple our adaptive mesh refinement software PeanoClaw with existing solvers for complex overland flows that are tailored to regular Cartesian meshes. This allows us to augment them with spatial adaptivity and local time-stepping without altering the computational kernels. FullSWOF2D—Full Shallow Water Overland Flows—here is our software of choice though all paradigms hold for other solvers as well. We validate our hybrid simulation software in an artificial test scenario before we provide results for a large-scale flooding scenario of the Mecca region. The latter demonstrates that our coupling approach enables the simulation of complex “real-world” scenarios.
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Acknowledgements
This work is partially supported by the Award No. UK-C0020 made by King Abdullah University of Science and Technology (KAUST). We also want to thank the KAUST Visual Computing Center for granting us access to the reconstructed data elevation maps of Mecca, Saudi-Arabia.
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Unterweger, K., Wittmann, R., Neumann, P., Weinzierl, T., Bungartz, HJ. (2015). Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows. In: Mehl, M., Bischoff, M., Schäfer, M. (eds) Recent Trends in Computational Engineering - CE2014. Lecture Notes in Computational Science and Engineering, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-319-22997-3_11
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