1 / 17

Coupled Basin- to Regional-Scale Ocean Modeling as Developed in the U.S. GLOBEC Program

Coupled Basin- to Regional-Scale Ocean Modeling as Developed in the U.S. GLOBEC Program. Dale Haidvogel IMCS, Rutgers University dale@imcs.rutgers.edu. The principal objective of U.S. GLOBEC research is to understand and predict the effects of global climate change on ocean

doris-hurley
Download Presentation

Coupled Basin- to Regional-Scale Ocean Modeling as Developed in the U.S. GLOBEC Program

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. Coupled Basin- to Regional-Scale Ocean Modeling as Developed in the U.S. GLOBEC Program Dale Haidvogel IMCS, Rutgers University dale@imcs.rutgers.edu

  2. The principal objective of U.S. GLOBEC research is to understand and predict the effects of global climate change on ocean ecosystem dynamics

  3. Approach: Spatially nested biophysical models NCEP/MM5 -> ROMS/NPZ -> IBM

  4. Capabilities developed • One- and two-way nesting • NCAR CCSM • HyCOM • SODA • 2. 4D Variational data assimilation • 3. Food web (NPZD) models • 4. Individual-based models (zoop, salmon)

  5. Northeast Pacific Program: Spatial windows† † CCS box contains multiple applications-dependent inner domains

  6. “Reduced” CCS (underway) • Inner CCS domain (mesoscale survey) • 2-Km resolution • 2002 • COAMPS 9 Km forcing • SODA boundary conditions • Will include ecosystem model (NPZD+Fe, NEMURO+Fe) • Forward runs / data assimilation

  7. Questions and Issues • How good is the forward model? • Does it improve upon the reanalysis fields? • What processes / model details control the errors? • Use of 4DVar to correct errors • Redo above for the ecosystems

  8. SODA

  9. Low vertical resolution

  10. Increased resolution of surface layer

  11. Recap • Significant hindcast skill over several months • Influence of boundary data, resolution, … • Errors related to mesoscale evolution of flow? • Assimilation next (physics first)

  12. Questions?

More Related