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C. Chen 1, R. C. Beardsley 2 and G. Cowles 1 1 Department of Fisheries Oceanography University of Massachusetts-Dartmouth (UMASSD), New Bedford, MA 02744.

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Presentation on theme: "C. Chen 1, R. C. Beardsley 2 and G. Cowles 1 1 Department of Fisheries Oceanography University of Massachusetts-Dartmouth (UMASSD), New Bedford, MA 02744."— Presentation transcript:

1 C. Chen 1, R. C. Beardsley 2 and G. Cowles 1 1 Department of Fisheries Oceanography University of Massachusetts-Dartmouth (UMASSD), New Bedford, MA 02744 2 Department of Physical Oceanography Woods Hole Oceanographic Institution, Woods Hole, MA 02543 Website: http://fvcom.smast.umassd.edu E-mail: c1chen@umassd.edu; gcowles@umassd.edu; (UMASSD) rbeardsley@whoi.edu (WHOI) A Potential Candidate to Simulate the Tsunami-Induced Coastal Flooding: the FVCOM

2 Critical Issues in Coastal Ocean Modeling Irregular geometry Intertidal wetlands Steep topography Mass Conservation ?

3 FVCOM: Unstructured-grid, Finite-Volume Coastal Ocean Model (Chen, C. R. H. Liu and R. C. Beardsley, JAOT, 2003) All variables are computed in the integral form of the equations, which provides a better representation of the conservative laws of mass, momentum and heat in the coastal region with complex geometry. The numerical computational domain consists of non-overlapping unstructured cells. Combines the best from the finite- element method for the geometric flexibility and finite difference method for the simplest discrete computation. Both current and tracer remain the second-order accuracy. u,vu,v u,vu,v u,vu,v u,vu,v u,vu,v u,vu,v F F F F FF F y u,vu,v u,vu,vu,vu,v u,vu,v

4 For example: The Continuity Equation:

5  u, v FVCOM Wet/Dry Treatment Technology

6 FVCOM-Main Code Cartesian/Spherical Coordinates Modules of FVCOM 3-D Wet/Dry Treatment General Ocean Turbulence Model (GOTM) 3-D Sediment Model Generalized Biological Model Water Quality Model Multi OB Radiations Forcings: Tides (Equilibrium+ O.B.) Winds, Heat flux, Precipitation/Evaporation River discharges, Groundwater O.B. fluxes Lagrangian-IBM MPI Parallel NetCDF Output GUI Post-process Tools Ice model Nudging Assimilation Ensemble/Reduced Kalman Filters North Pole Nested System Adjoint Assimilation Surface Wave Model Model Field Sampling Auto-grid adjustment ViSiT Monitoring Existing Modules Under Development Key:

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9 The Satilla River, Georgia

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16 A non-hydrostatic version of FVCOM is developed and being tested for idealized cases A unstructured grid surface wave model (SWAN) is implemented and coded into FVCOM. Updated Development Activity

17 Summary Non-hydrostatic version of FVCOM with inclusion of the wet/dry point treatment will provide a good tool to simulate and thus forecast Tsunamis- induced water flooding in the coastal region. Develop a tsunamis prediction system on a reliable coastal ocean model will allow us to examine the impact of meteorological and oceanic conditions on the tsunamis-induced coastal waves. Welcome to visit our website: http://fvcom.smast.umassd.edu


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