A Potential Candidate to Simulate the TsunamiInduced Coastal

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A Potential Candidate to Simulate the Tsunami-Induced Coastal Flooding: the FVCOM C. Chen 1,

A Potential Candidate to Simulate the Tsunami-Induced Coastal Flooding: the FVCOM 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: c 1 chen@umassd. edu; gcowles@umassd. edu; rbeardsley@whoi. edu (WHOI) (UMASSD)

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

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

FVCOM: Unstructured-grid, Finite-Volume Coastal Ocean Model (Chen, C. R. H. Liu and R. C.

FVCOM: Unstructured-grid, Finite-Volume Coastal Ocean Model (Chen, C. R. H. Liu and R. C. Beardsley, JAOT, 2003) F • 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 finiteelement method for the geometric flexibility and finite difference method for the simplest discrete computation. • Both current and tracer remain the second-order accuracy. F u, v u, v F F y u, v

For example: The Continuity Equation:

For example: The Continuity Equation:

FVCOM Wet/Dry Treatment Technology u, v

FVCOM Wet/Dry Treatment Technology u, v

Nudging Assimilation Ensemble/Reduced Kalman Filters North Pole Nested System Model Field Sampling Modules of

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

The Satilla River, Georgia

The Satilla River, Georgia

Updated Development Activity A non-hydrostatic version of FVCOM is developed and being tested for

Updated Development Activity 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.

Summary Non-hydrostatic version of FVCOM with inclusion of the wet/dry point treatment will provide

Summary Non-hydrostatic version of FVCOM with inclusion of the wet/dry point treatment will provide a good tool to simulate and thus forecast Tsunamisinduced 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