numerical simulation of oceanic circulation in the southern california bight changming charles dong...

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Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas, Yi Chao, Eileen Idica Alex Hall, Mimi Hughes, Keith Stolzenbach

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Page 1: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

Numerical Simulation of Oceanic Circulation in the Southern California Bight

Changming Charles Dong

IGPP, UCLA

Collaborators: James McWilliams, Meite Blaas, Yi Chao, Eileen Idica Alex Hall, Mimi Hughes, Keith Stolzenbach

Page 2: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

(Strub and James, 2000, DSR)

Seasonal SST (AVHRR)and SSH (TOPEX)

SCB

CCS:

Page 3: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

Regional Oceanic Model System (ROMS)

It solves the primitive equations with the oceanic currents,potential temperature, salinity and the equation of state.

It is a community model, and its source codes are open.

More details, see the official websitewww.myroms.org

Page 4: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

Regional Oceanic Model System (ROMS)

One-way nested grids(~20km ~6.7km 1km)

Surface Forcing (MM5 18km, 6km, 2 km)

Open Boundary Data (SODA, Carton et al, 2000a,b, JPO)

Integration from 1996-2003

20km

6.7km

1km

Page 5: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,
Page 6: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

U = Ugeo + Uekman + Uresidue

Page 7: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,
Page 8: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,
Page 9: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,
Page 10: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,
Page 11: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

1km Configuration

Page 12: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

HF radar dataBy Libe Washburn

Cyclonic eddy

Page 13: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

The abscissa and ordinate are days in March 2002 and the water depth, respectively. The measurements are made at the UCLA mooring site in Santa Monica Bay.  The model is reasonably successful at simulating the observed upwelling response, and this depends on using a high-resolution regional wind reanalysis and the anomalous surface cooling from that reanalysis

Page 14: Numerical Simulation of Oceanic Circulation in the Southern California Bight Changming Charles Dong IGPP, UCLA Collaborators: James McWilliams, Meite Blaas,

Summary

• ROMS is employed to study the domain-scale circulation in Southern California Bight forced by MM5 and SODA.

• The model is integrated over eight-year (1996-2003)

• The mean circulation and its interannual, seasonal and intra-seasonal variability is presented in the numerical solution, and comparable with the available observation.

• 1km solution is used for SCCOOS operational forecast. it has the better performance in resolving the submesoscale structure and simulating the synoptic event.

Sorry for not being with you. Enjoy the wine at Dave’s house. ----Charles