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Numerical Simulation of Oceanic Circulation in the Southern California Bight

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. SCB. Seasonal SST (AVHRR) and SSH (TOPEX). CCS:.

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Numerical Simulation of Oceanic Circulation in the Southern California Bight

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  1. 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

  2. SCB Seasonal SST (AVHRR) and SSH (TOPEX) CCS: (Strub and James, 2000, DSR)

  3. 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 website www.myroms.org

  4. 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 1km 6.7km

  5. U = Ugeo + Uekman + Uresidue

  6. 1km Configuration

  7. Cyclonic eddy HF radar data By Libe Washburn

  8. 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

  9. 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

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