c. chen 1, r. c. beardsley 2 and g. cowles 1 1 department of fisheries oceanography university of...

C. Chen1, R. C. Beardsley2 and G. Cowles1

1Department of Fisheries OceanographyUniversity of Massachusetts-Dartmouth (UMASSD), New Bedford, MA 02744

2Department of Physical OceanographyWoods 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

Critical Issues in Coastal Ocean Modeling

Irregular geometry

Intertidal wetlands

Steep topography

Mass Conservation ?

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,v

u,v

u,v

u,v

u,v

u,vF

FF

F

F F

F

etcKKHSTF hm ,,,,,,,: ρζ

y

u,v

u,v u,v

u,v

: H, ζ, ω, D, s, θ, q2, q2l, Am, Kh I : u, v,

For example: The Continuity Equation:

( ) ( )Ddsvdxdy]

y

Dv

x

Du[dxdy

t S

n∫∫∫∫∫ −=∂

∂+

∂

∂−=

∂

∂ζ

ζ

ζ

u, v

FVCOM Wet/Dry Treatment Technology

FVCOM-Main CodeCartesian/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/EvaporationRiver discharges, GroundwaterO.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:

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

The Satilla River, Georgia

QuickTime™ and aTechSmith EnSharpen decompressor

are needed to see this picture.

QuickTime™ and aTechSmith EnSharpen decompressor

are needed to see this picture.

QuickTime™ and aBMP decompressor

are needed to see this picture.

QuickTime™ and aBMP decompressor

are needed to see this picture.

QuickTime™ and aMicrosoft Video 1 decompressorare needed to see this picture.

QuickTime™ and aH.264 decompressor

are needed to see this picture.

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

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