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dc.contributor.authorUnterweger, K.
dc.contributor.authorWittmann, R.
dc.contributor.authorNeumann, P.
dc.contributor.authorWeinzierl, T.
dc.contributor.authorBungartz, H.-J.
dc.date.accessioned2016-02-25T13:33:36Z
dc.date.available2016-02-25T13:33:36Z
dc.date.issued2015
dc.identifier.citationUnterweger K, Wittmann R, Neumann P, Weinzierl T, Bungartz H-J (2015) Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows. Recent Trends in Computational Engineering - CE2014: 181–195. Available: http://dx.doi.org/10.1007/978-3-319-22997-3_11.
dc.identifier.issn1439-7358
dc.identifier.issn2197-7100
dc.identifier.doi10.1007/978-3-319-22997-3_11
dc.identifier.urihttp://hdl.handle.net/10754/598639
dc.description.abstract© Springer International Publishing Switzerland 2015. 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.
dc.description.sponsorshipThis work is partially supported by the Award No. UK-C0020 made by KingAbdullah University of Science and Technology (KAUST). We also want to thank the KAUSTVisual Computing Center for granting us access to the reconstructed data elevation maps of Mecca,Saudi-Arabia.
dc.publisherSpringer Science + Business Media
dc.titleIntegration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows
dc.typeBook Chapter
dc.identifier.journalLecture Notes in Computational Science and Engineering
dc.contributor.institutionTechnische Universitat Munchen, Munich, Germany
dc.contributor.institutionUniversity of Durham, Durham, United Kingdom
kaust.grant.numberUK-C0020


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