1 / 19

Multi-decadal Coupled Sea-ice/Ocean Numerical Simulations of the Bering Sea

Multi-decadal Coupled Sea-ice/Ocean Numerical Simulations of the Bering Sea. Kate Hedstrom, ARSC/UAF Enrique Curchitser, LDEO Al Hermann, PMEL January, 2006. Bering Sea. Motivation and background Bering sea model implementation Results: Circulation Sea-ice cover

penelope-clemons
Télécharger la présentation

Multi-decadal Coupled Sea-ice/Ocean Numerical Simulations of the Bering Sea

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multi-decadal Coupled Sea-ice/Ocean Numerical Simulations of the Bering Sea Kate Hedstrom, ARSC/UAF Enrique Curchitser, LDEO Al Hermann, PMEL January, 2006

  2. Bering Sea • Motivation and background • Bering sea model implementation • Results: • Circulation • Sea-ice cover • Interannual variability and trends • Conclusions and future work

  3. Motivation • A yardstick for climate change (sea ice) • High primary productivity • Significant commercial fisheries (Pollock) • Comparison with other sub-Arctic seas (e.g., Barents)

  4. The Model • ROMS ocean • F90 • Now with an adjoint and tangent linear for data assimilation • Ice model from Paul Budgell • EVP dynamics (Arakawa C grid) • Mellor-Kantha thermodynamics • Oceanic molecular sublayer under the ice for improved behavior

  5. 10 km average horizontal resolution Run1: 30 vertical layers IC’s and BC’s from NPac Daily fluxes from NCEP hindcast (modified) 1996-2002, 1960-1970 Run2: 42 vertical layers IC’s and BC’s from CCSM (POP) Six-hourly fluxes from CCSM hindcast 1958-2000+, up to 1974 so far NEP Implementation

  6. Surface velocities - NCEP

  7. Sea ice concentration: January 1996 ROMS - NCEP SSM/I+

  8. Sea ice concentration: January 1997 ROMS - Run 1 SSM/I+

  9. Sea ice concentration: January 1998 ROMS - Run 1 SSM/I+

  10. Lessons from a “bad” simulation: The global warming scenario NCEP (tweaked) NCEP

  11. ROMS - NCEP ROMS - CCSM Sea Surface Temperature

  12. ROMS - NCEP ROMS - CCSM Sea-ice Concentration: April 1966

  13. ROMS - NCEP ROMS - CCSM Sea-ice Concentration: April 1969

  14. ROMS - NCEP ROMS - CCSM Sea-ice Concentration: April 1963

  15. Future Plans • Finish the 10 km run driven by CCSM forcing • Run on the 4 km grid • Four tidal constituents from Mike Forman • Closer to eddy resolving • Estimate 200 hours/year on 48 pwr4 processors • Add an ecosystem model (and modeler)

  16. Conclusions • The model reproduces the seasonal and interannual variability in the sea-ice conditions as well as the major circulation features • The CCSM forcing fields are a significant improvement: • Higher time resolution • No hack to the heat fluxes • We hope to use these simulations to improve our understanding of the circulation and ecosystem in the Bering Sea

  17. Surface Velocityweekly means 1960-1963

More Related