Woods Hole Coastal and Marine Science Center
Numerical models are used to increase understanding of the relevant physical processes in the study regions. The models are typically deterministic in that they solve fundamental physics based equations that describe the physical environment.
Regional Ocean Modeling System (ROMS) http://www.myroms.org
The Regional Ocean Modeling System (ROMS), a general class of free surface, terrain-following numerical models that solve the three dimensional Reynolds-averaged Navier–Stokes equations (RANS) using the hydrostatic and Boussinesq approximations (Shchepetkin and McWilliams, 2005, 2009; Haidvogel and others,, 2008). ROMS uses finite-difference approximations on a horizontal curvilinear Arakawa C grid and on a vertical stretched terrain-following coordinate. Momentum and scalar advection and diffusive processes are solved using transport equations and an equation of state computes the density field that accounts for temperature, salinity, and suspended-sediment contributions.
Sediment transport capabilities have been added to the ROMS model to simulate suspended and bedload transport, multiple grain sizes, multiple bed layers, morphological feedback, and sediment density effects to the flow (Warner and others 2008).
Simulating WAves Nearshore (SWAN) http://www.swan.tudelft.nl/
The Simulating WAves Nearshore (SWAN) is a spectral wave model specifically designed for shallow water that solves the spectral density evolution equation (Booij and others,, 1999). SWAN simulates wind wave generation and propagation in coastal waters and includes the processes of refraction, diffraction, shoaling, wave–wave interactions, and dissipation due to whitecapping, wave breaking, and bottom friction.
The Weather Research and Forecasting (WRF) Model http://wrf-model.org
The Weather Research and Forecasting (WRF) Model (Skamarock and others,, 2005) is a nonhydrostatic, quasi-compressible atmospheric model with boundary layer physics schemes and a variety of physical parameterizations of sub-grid scale processes for predicting meso- and microscales of motion. The model predicts three-dimensional wind momentum components, surface pressure, dew point, precipitation, surface sensible and latent heat fluxes, longwave and shortwave radiative fluxes, relative humidity, and air temperature on a sigma-pressure vertical coordinate grid.
InWave
InWave is wave model that allows for simulating the infragravity frequency band with periods between 30 s and 5 minutes. The generation mechanism is the wind and the restoring force the gravity. These waves are driven at the boundary by SWAN, computed by the InWave component, and resolved on the ROMS ocean model grid and interact with the ocean currents on the infragravity time scale.
Coupled Ocean-Atmosphere-Wave-Sediment-Transport (COAWST) Forecasting System http://woodshole.er.usgs.gov/operations/modeling/COAWST/index.html
To better identify the significant processes affecting our coastal areas we developed a Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) Modeling System, which is comprised of the Model Coupling Toolkit to exchange data fields between the ocean model ROMS, the atmosphere model WRF, the wave model SWAN, and the sediment capabilities of the Community Sediment Transport Model.
COAWST Forecasting System applications: http://woodshole.er.usgs.gov/project-pages/cccp/public/COAWST.htm
Hurricane Ivan
Zambon, J.B., He, R., and Warner, J.C. (submitted). Numerical Investigation of Hurricane Ivan Using the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Model, Dynamics of Atmosphere and Oceans.
Willapa Bay
Olabarrieta, M., J. C. Warner, and N. Kumar (2011), Wave-current interaction in Willapa Bay, J. Geophys. Res., 116, C12014, doi:10.1029/2011JC007387.
Catalan Shelf
Grifoll, M., Aretxabaleta, A.L., Espino, M., and Warner, J.C.(2012). Along-shelf current variability on the Catalan inner-shelf (NW Mediterranean), Journal of Geophysical Research-Oceans, 117, C09027, doi:10.1029/2012JC008182.
Gulf of Lion
Renault, L., Chiggiato, J., Warner, J.C., Gomez, M., Vizoso, G., and Tintoré1, J., (2012) Coupled Atmosphere-Ocean-Wave simulations of a storm event over the Gulf of Lion and Balearic Sea, Journal of Geophysical Research, Oceans, 117, C09019, doi:10.1029/2012JC007924.
Mekong River
Xue, Z., He, R., Liu, J.P., and Warner, J.C. (2012). Modeling transport and deposition of the Mekong River Sediment. Continental Shelf Research, 37, pp. 66-78.