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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 images for enlargement
with caption
ROMS Functionality
- The model solves the hydrostatic Primitive Equations
in vertical hybrid z-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.
- 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., 2006).
- 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., 2006a,b,c), or alternatively, a recently
implemented multi-group, multi-nutrient biogeochemical module (Moore et
al., 2002).
- Pollution dispersal and mixing (Oram et al., 2006a,b).
- Lagrangian tracking, online and offline, including
behavioral movement (Capet and McWilliams, 2006).
- A data-assimilation and forecast system, plus an
adjoint model (with JPL; Li et al., 2006a,b).
- Particulate modeling: settling, coagulation, sediment
deposition, resuspension, transport, bed structure, detrital
remineralization (Blaas et al., 2006).
- 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., 2006) plus Stokes vortex force, Bernoulli head,
sea-level set-up, and Stokes advection (McWilliams, Restrepo, and Lane,
2004) .
ROMS Scientists
A roster of scientists at UCLA currently working with ROMS is
In addition, there are active collaborations with scientists at JPL, Penven at IRD
, Marchesiello
at IRD, WHOI,
Rutgers,
MBARI,
Nick Nezlin, and DiLorenzo at Georgia
Tech.
UCLA ROMS group photo in
2006.
Front row: Yulia Kanarska, Takeyoshi Nagai, Yusuke Uchiyama, Eileen Deng, and Charles Dong.
Rear group (left to right): Nicolas Gruber, Francois Colas, Xavier Capet, Xiao Han, Alexander Shchepetkin
Keith Stolzenbach, Hartmut Frenzel, Jim McWilliams, Jin Xin
Selected References
Blaas, M., C. Dong, P. Marchesiello, J.C. McWilliams, and K.D.
Stolzenbach, 2006: Sediment transport modeling on Southern Californian
shelves: A ROMS case study. Contin.
Shelf Res., submitted.
Blanke, R., C. Roy, P. Penven, S. Speich, J.C. McWilliams, and G.
Nelson, 2002: Linking wind and interannual upwelling variability in a
regional model of the southern Benguela. Geophys. Res. Lett. 29, 41(1)-41(4).
Caldeira, R.M.A., P. Marchesiello, N. Nezlin, P. DiGiacomo, and J.C.
McWilliams, 2006: The warming of the California Current: Dynamics and
ecosystem implications. J.
Phys. Ocean, in press.
Capet, X.J., P. Marchesiello, and J.C. McWilliams, 2004: Upwelling
response to coastal wind profiles. Geophys.
Res. Lett. 31 (13),
L13311/1--L13311/4.
Capet, X., and J.C. McWilliams, 2006: 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. McWilliams, 2006:
Coastal upwelling sensitivity to atmospheric wind forcing along the
U.S. Pacific Coast, in preparation.
Dong, C., and J.C. McWilliams, 2006: A numerical study of island wakes
in the Southern California Bight.
Cont. Shelf Res., submitted.
Dong, C., A. Hall, M. Hughes, and J.C. McWilliams, 2006: Impact of wind
resolution on simulations of a major coastal upwelling event. Geophys. Res. Lett., submitted.
Gruber, N., H. Frenzel, S. Doney, J.C. McWilliams, G.K. Plattner,
and K. Stolzenbach, 2006a: Simulation of phystoplankton ecosystem
dynamics and upper ocean biogeochemistry in the California Current
System: Part II: Productivity and nutrient cycling. Deep-Sea Res. II, 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, 2006b:
Simulation of phytoplankton ecosystem dynamics and upper ocean
biogeochemistry in the California Current System: Part I: Model
description, evaluation, and ecosystem structure. Deep-Sea Res. II, in press.
Gruber, N., H. Frenzel, W. Hamner, P. Marchesiello, J.C. McWilliams,
N. P. Nezlin, J. Oram, and K. Stolzenbach, 2006c:
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, J.C. McWilliams, and K. Ide, 2006: A three-dimensional
variational data assimilation scheme for the Regional Ocean
Modeling
System: I. Formulation. Mon.
Weather Rev.,
submitted.
Li, Z., Y. Chao, J. Choi, X. Capet, and J.C. McWilliams, 2006: A
three-dimensional variational
data assimilation system for the Regional Ocean Modeling System: II,
Implementation
and Experiments, 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.
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. 511, 135-178.
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 Res. II 49, 403-462.
Nezlin, N., and J.C. McWilliams, 2003: Satellite data empirical
orthogonal functions statistics and the 19971998 El Nino off
California. Remote Sensing
Envir. 84, 234-254.
Oram, J., K. Stolzenbach, K, X. Capet, P. Marchesiello, and J.C.
McWiiliams, 2006a: 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.
Oram, J., J.C. McWilliams, and K.D. Stolzenbach, 2006b: Gradient-based
edge detection and feature classification of sea-surface images on the
Southern California Bight.
Cont. Shelf Res., submitted.
Penven P., L. Debreu, P. Marchesiello, and J.C. McWilliams, 2006:
Application of the ROMS embedding procedure in the California Current
Upwelling System. Ocean
Modelling, in press.
Plattner, G. K-., N. Gruber, H. Frenzel, and
J.C. McWilliams, 2005: Decoupling marine export production from new
production. Geophys. Res. Lett.
32, L11612/1-4.
Shchepetkin, A., and J.C. McWilliams, 1998: Quasi-monotone advection
schemes based on explicit locally adaptive dissipation. Monthly Weather Rev. 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.
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 9, 347-404.
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