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Adaptive mesh refinement for storm surge
Institution:1. Virginia Institute of Marine Science, College of William & Mary, Center for Coastal Resource Management, 1375 Greate Road, Gloucester Point, VA 23062, USA;2. Helmholtz-Zentrum Geesthacht, Max-Planck-Straße 1, 21502 Geesthacht, Germany;1. School of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China;2. Institute of Water Resources & Electric Power, Qinghai University, Xining 810016, China;3. Chair of Water Resources Management and Modeling of Hydrosystems, Department of Civil Engineering, Technische Universität Berlin. TIB 1-B14, Gustav-Meyer-Allee 25, Berlin 13355, Germany
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.
Keywords:Storm surge  Hurricane Ike  Adaptive mesh refinement  Finite volume methods  Shallow water equations
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