Adaptive mesh refinement for storm surge

Kyle T. Mandli, Clint N. Dawson

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)36-50
Number of pages15
JournalOcean Modelling
Volume75
DOIs
StatePublished - Mar 2014
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

Fingerprint

Dive into the research topics of 'Adaptive mesh refinement for storm surge'. Together they form a unique fingerprint.

Cite this