Handle URI:
http://hdl.handle.net/10754/597456
Title:
Adaptive mesh refinement for storm surge
Authors:
Mandli, Kyle T.; Dawson, Clint N.
Abstract:
An approach to utilizing adaptive mesh refinement algorithms for storm surge modeling is proposed. Currently numerical models exist that can resolve the details of coastal regions but are often too costly to be run in an ensemble forecasting framework without significant computing resources. The application of adaptive mesh refinement algorithms substantially lowers the computational cost of a storm surge model run while retaining much of the desired coastal resolution. The approach presented is implemented in the GeoClaw framework and compared to ADCIRC for Hurricane Ike along with observed tide gauge data and the computational cost of each model run. © 2014 Elsevier Ltd.
Citation:
Mandli KT, Dawson CN (2014) Adaptive mesh refinement for storm surge. Ocean Modelling 75: 36–50. Available: http://dx.doi.org/10.1016/j.ocemod.2014.01.002.
Publisher:
Elsevier BV
Journal:
Ocean Modelling
Issue Date:
Mar-2014
DOI:
10.1016/j.ocemod.2014.01.002
Type:
Article
ISSN:
1463-5003
Sponsors:
The authors would like to thank Andrew Kennedy for the gauge observations and the reviewers for their time and effort in editing this article. This research was supported in part by ONR Grant N00014–09-1–0649, the ICES postdoctoral fellowship program, the Gulf of Mexico Research Initiative Center for Advanced Research on Transport of Hydrocarbons in the Environment, and the King Abdullah University of Science and Technology Academic Excellence Alliance.
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Full metadata record

DC FieldValue Language
dc.contributor.authorMandli, Kyle T.en
dc.contributor.authorDawson, Clint N.en
dc.date.accessioned2016-02-25T12:40:05Zen
dc.date.available2016-02-25T12:40:05Zen
dc.date.issued2014-03en
dc.identifier.citationMandli KT, Dawson CN (2014) Adaptive mesh refinement for storm surge. Ocean Modelling 75: 36–50. Available: http://dx.doi.org/10.1016/j.ocemod.2014.01.002.en
dc.identifier.issn1463-5003en
dc.identifier.doi10.1016/j.ocemod.2014.01.002en
dc.identifier.urihttp://hdl.handle.net/10754/597456en
dc.description.abstractAn approach to utilizing adaptive mesh refinement algorithms for storm surge modeling is proposed. Currently numerical models exist that can resolve the details of coastal regions but are often too costly to be run in an ensemble forecasting framework without significant computing resources. The application of adaptive mesh refinement algorithms substantially lowers the computational cost of a storm surge model run while retaining much of the desired coastal resolution. The approach presented is implemented in the GeoClaw framework and compared to ADCIRC for Hurricane Ike along with observed tide gauge data and the computational cost of each model run. © 2014 Elsevier Ltd.en
dc.description.sponsorshipThe authors would like to thank Andrew Kennedy for the gauge observations and the reviewers for their time and effort in editing this article. This research was supported in part by ONR Grant N00014–09-1–0649, the ICES postdoctoral fellowship program, the Gulf of Mexico Research Initiative Center for Advanced Research on Transport of Hydrocarbons in the Environment, and the King Abdullah University of Science and Technology Academic Excellence Alliance.en
dc.publisherElsevier BVen
dc.subjectAdaptive mesh refinementen
dc.subjectFinite volume methodsen
dc.subjectHurricane Ikeen
dc.subjectShallow water equationsen
dc.subjectStorm surgeen
dc.titleAdaptive mesh refinement for storm surgeen
dc.typeArticleen
dc.identifier.journalOcean Modellingen
dc.contributor.institutionUniversity of Texas at Austin, Austin, United Statesen
kaust.grant.programAcademic Excellence Alliance (AEA)en
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