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ROMS Development at UCLA
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Over the last several years, we have developed a three-dimensional numerical oceanic model intended for simulating currents, ecosystems, biogeochemical cycles, and sediment movement in various coastal regions.  It is called the Regional Oceanic Modeling System (ROMS), and it is closely related to the model developed at Rutgers University with the same name.






click on above images for enlargement with caption
ROMS Functionality

ROMS Scientists

Selected References


ROMS Functionality
  • The model solves the hydrostatic Primitive Equations in vertical hybrid-$\sigma$ and horizontal curvilinear coordinates with innovative algorithms for advection, mixing, pressure gradient, vertical-mode coupling, time stepping, and parallel efficiency (Shchepetkin and McWilliams, 1998, 2003, 2004).  ROMS contains representations for the the following additional elements:
  • Surface fluxes of momentum, heat, water, and materials with the atmosphere, including active coupling to an atmospheric model.
  • River inflows.
  • K-Profile Parameterization (Large, McWilliams, and Doney, 1994) for top and bottom boundary layers plus interior diapycnal mixing based on Richardson-number threshold.
  • Open-boundary conditions for radiation, large-scale circulation, and tides (Marchesiello, McWilliams, and Shchepetkin, 2001).
  • 1-way and 2-way coupled, sigma-level grid embedding for high-resolution subdomains (Penven et al, 2004).
  • Multi-decadal Pacific basin simulations at coarse and eddy-permitting resolutions --> boundary conditions for regional and local coastal domains.
  • A single-group plankton ecosystem (representing diatoms in an upwelling regime) plus OCMIP-style carbon and oxygen cycles (Gruber et al., 2004), or alternatively, a recently implemented multi-group, multi-nutrient biogeochemical module (Moore et al., 2002).
  • Pollution dispersal and mixing (Orem et al, 2004.
  • Lagrangian tracking, online and offline, including behavioral movement (Capet et al, 2004b).
  • A data-assimilation and forecast system, plus an adjoint model (with JPL).
  • Particulate modeling: settling, coagulation, sediment deposition, resuspension, transport, bed structure, detrital remineralization (Blaas et al., 2004a,b).
  • Surface wave effects on currents and tracers: combined wave-current bottom shear stress parameterization, including prediction of ripples and enhanced roughness related to waves and bed composition (Blaas et al., 2004a) plus Stokes vortex force, Bernoulli head, sea-level set-up, and Stokes advection (McWilliams, Restrepo, and Lane, 2004) .

ROMS Scientists

The roster of scientists at UCLA currently working with ROMS is

Meinte Blaas
Xavier Capet
Charles Dong
Hartmut Frenzel
Nicolas Gruber
Jim McWilliams

In addition, there are active collaborations with scientists at JPL, Penven at IRD , Marchesiello at IRD, WHOI, Rutgers, MBARI, and SIO (DiLorenzo).

UCLA ROMS group photo in 2002. 
Back row: Xavier Capet, Alexander Shchepetkin, Hartmut Frenzel, Keith Stolzenbach, and John Oram.
Front row: Patrick Marchesiello, Jim McWilliams, and Nicolas Gruber.
 
                                                                          
Selected References

Blaas, M., P. Marchesiello, J.C. McWilliams, K.D. Stolzenbach, and C. Dong, 2004a: Sediment transport modeling on Southern Californian shelves. I: Model description and sensitivity studies. In preparation.

Blaas, M., C. Dong, J.C. McWilliams, and K.D. Stolzenbach, 2004b: Sediment transport modeling on Southern Californian shelves. II: Case studies. In preparation.

Capet, X.J., P. Marchesiello, and J.C. McWilliams, 2004a: Upwelling response to coastal wind profiles. Geophys. Research Lett., in press.

Capet, X., and J.C. McWilliams, 2004b: Lagrangian diagnostics of the cross-shore exchanges off central California: A numerical approach using ROMS.  In preparation.

Capet, X., P. Penven, P. Marchesiello, and J.C. J. McWilliams, 2004c: Model/data comparison of the dynamics and upwelling structure off central California.  In preparation.

H. Frenzel, N. Gruber, J.C. McWilliams, X. Capet, and P. Marchesiello ([maybe add Charles and Meinte?]), 2004: Modeling of an upwelling event and its effects on biogeochemical cycles in Santa Monica Bay, California. In preparation.

Gruber, N., H. Frenzel, S.C. Doney, P. Marchesiello, J. C. McWilliams, J. R. Moisan, J. Oram, G.-K. Plattner, and K.D. Stolzenbach, 2004a: Simulation of phytoplankton ecosystem dynamics in the California Current System. Deep-Sea Research, submitted.

Gruber, N., H. Frenzel, W. Hamner, P. Marchesiello, J.C. McWilliams, N.  P. Nezlin, J. Oram, and K. Stolzenbach, 2004b: Biological-physical coupling during an upwelling event in Santa Monica Bay, CA, in preparation.

Large, W.G., J.C. McWilliams, and S.C. Doney, 1994: Oceanic vertical mixing: a review and a model with a non-local K-profile boundary layer parameterization. Rev. Geophys. 32, 363-403.

Li, Z., Y. Chao, and J.C. McWilliams, 2004: A three-dimensional variational data  assimilation scheme for the Regional Ocean Modeling System: I, Theoretical  Formulation.  In preparation.

Li, Z., Y. Chao, J. Choi, and J.C. McWilliams, 2004: A three-dimensional variational data assimilation system for the Regional Ocean Modeling System: II, Implementation and Real-Time Demonstration. In preparation.

Marchesiello, P., J.C. McWilliams, and A. Shchepetkin, 2001: Open boundary conditions for long-term integration of regional ocean models. Ocean Modelling 3, 1-20.  PDF format

Marchesiello, P., J.C. McWilliams, and A. Shchepetkin, 2003: Equilibrium structure and dynamics of the California Current System. J. Phys. Ocean. 33, 753-783.

McWilliams, J.C., J.M. Restrepo, and E.M. Lane, 2004: An asymptotic theory for the interaction of waves and currents in coastal waters. J. Fluid Mech., in press.

Moore, J.K., S.C. Doney, J.A. Kleypas, D.M. Glover, I. Y. Fung, 2002: An intermediate complexity marine ecosystem model for the  global domain. Deep-Sea Research II 49, 403-462.

Oram, J., K. Stolzenbach, K, X. Capet, P. Marchesiello, and J.C. McWiiliams, 2004: Application of the Regional Ocean Modeling System to estimate the residence times of Santa Monica Bay, CA and their dependence on the larger scale circulation patterns of the Southern California Bight.  In preparation.

Penven P., L. Debreu, P. Marchesiello, and J.C. McWilliams, 2003: Application of the ROMS embedding procedure in the California Current Upwelling System.  Ocean Modelling, submitted.

Plattner, K., N. Gruber, S.C. Doney, H. Frenzel, and J.C. McWilliams, 1994: Simulation of the carbon cycle in the California Current System. In preparation.

Shchepetkin, A., and J.C. McWilliams, 1998: Quasi-monotone advection schemes based on explicit locally adaptive dissipation.  Monthly Weather Review 126, 1541-1580.

Shchepetkin, A.F., and J.C. McWilliams, 2003: A method for computing horizontal pressure-gradient force in an ocean model with a non-aligned vertical coordinate.  J. Geophys. Res. 108, 35.1-35.34.  PDF format

Shchepetkin, A.F., and J.C. McWilliams, 2004: The Regional Oceanic Modeling System: A split-explicit, free-surface, topography-following-coordinate ocean model. Ocean Modelling, in press.