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Coupling ROMS and CSIM in the Okhotsk Sea

Coupling ROMS and CSIM in the Okhotsk Sea. Rebecca Zanzig University of Washington November 7, 2006. Outline. Motivation ROMS Configuration CSIM Model Specifications Coupling Between Models Heat and Freshwater Fluxes Surface stresses Preliminary Results Future Work. Motivation.

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Coupling ROMS and CSIM in the Okhotsk Sea

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  1. Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006

  2. Outline • Motivation • ROMS Configuration • CSIM Model Specifications • Coupling Between Models • Heat and Freshwater Fluxes • Surface stresses • Preliminary Results • Future Work

  3. Motivation • To couple a terrain-following regional ocean model (ROMS) with a state-of-the-art ice model (CSIM). • Apply this new model configuration to the Sea of Okhotsk, which is the formation region for North Pacific Intermediate Water. • Investigate the deep water formation in the region and the impact of sea ice on it. • Investigate the impact of tides on sea ice.

  4. Grid Setup • Resolution: • 43-63 N, 135-165 E • 16-23 km resolution • 20 vertical levels • ETOPO5 Bathymetry • 3000 meter maximum depth • East, South and West open boundaries* * Open boundary forcing thanks to the North Pacific model by Al Hermann and Liz Dobbins at PMEL

  5. CPP Options • LMD interior mixing • KPP surface and bottom boundary layer mixing • Splines • Third-order upstream bias horizontal advection of tracers • Surface salinity flux correction • Open Boundaries (East, South and West) • Chapman free-surface condition • Flather 2D-momentum condition • Radiation condition for 3D-momentum and tracers

  6. Forcing Data • Coordinated Ocean-ice Reference Experiments (CORE) dataset • 6 hourly • Winds • Relative Humidity • Sea level pressure • Sea level air temperature • Daily • Incoming shortwave radiation • Incoming longwave radiation • Monthly • Precipitation (Rain and Snow) • World Ocean Atlas

  7. Community Climate System Sea Ice Model (CSIM) • Dynamic and Thermodynamic ice model • Elastic- Viscous- Plastic Dynamics • Supports Multiple ice types • Used in CCSM- global climate model • Modified to run in regional applications • Capable of computing fluxes over both ice and the open ocean

  8. Raw input forcing data Modified forcing Surface Stresses Heat Fluxes ROMS & CSIM Coupling ROMS CSIM Freshwater Fluxes

  9. Downward Flux = Incoming * (1 – aice)

  10. Terrain–Following Issues: Frzmlt level at_hminat_hmax 20 0.000 0.000 19 -0.500 -2.855

  11. Terrain–Following Issues: Frzmlt Temp < -1.8 ºC Temp > -1.8 ºC Temp > -1.8 ºC

  12. Terrain–Following Issues: Frzmlt

  13. Results– SST & Surface Currents

  14. Results - Ice Thickness

  15. Results - Percent Ice Coverage 3 year mean ~30 year mean

  16. Scherbina et al (2004) • Data along northwestern shelf from 2 bottom moorings and a hydrographic survey in September 1999 • Factors thought to be important to dense water formation: • Location of the tidal mixing front • Baroclinic instability could stop dense water formation

  17. Bottom Temperature

  18. Density Section

  19. Temperature Section

  20. Future Work • Add tides to the simulation • Refine resolution • Interannual variability (not just climatological forcing) • Examine ventilation and deep water formation • Include the Amur River in simulation

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