c. chen 1, r. c. beardsley 2 and g. cowles 1 1 department of fisheries oceanography university of...
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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: [email protected]; [email protected]; (UMASSD) [email protected] (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