Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows

Handle URI:
http://hdl.handle.net/10754/598639
Title:
Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flows
Authors:
Unterweger, K.; Wittmann, R.; Neumann, P.; Weinzierl, T.; Bungartz, H.-J.
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.
Citation:
Unterweger 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.
Publisher:
Springer Science + Business Media
Journal:
Lecture Notes in Computational Science and Engineering
KAUST Grant Number:
UK-C0020
Issue Date:
2015
DOI:
10.1007/978-3-319-22997-3_11
Type:
Book Chapter
ISSN:
1439-7358; 2197-7100
Sponsors:
This 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.
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Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorUnterweger, K.en
dc.contributor.authorWittmann, R.en
dc.contributor.authorNeumann, P.en
dc.contributor.authorWeinzierl, T.en
dc.contributor.authorBungartz, H.-J.en
dc.date.accessioned2016-02-25T13:33:36Zen
dc.date.available2016-02-25T13:33:36Zen
dc.date.issued2015en
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.en
dc.identifier.issn1439-7358en
dc.identifier.issn2197-7100en
dc.identifier.doi10.1007/978-3-319-22997-3_11en
dc.identifier.urihttp://hdl.handle.net/10754/598639en
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.en
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.en
dc.publisherSpringer Science + Business Mediaen
dc.titleIntegration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex Overland Flowsen
dc.typeBook Chapteren
dc.identifier.journalLecture Notes in Computational Science and Engineeringen
dc.contributor.institutionTechnische Universitat Munchen, Munich, Germanyen
dc.contributor.institutionUniversity of Durham, Durham, United Kingdomen
kaust.grant.numberUK-C0020en
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