1 / 24

ROMS/TOMS Tangent Linear and Adjoint Models

ROMS/TOMS Tangent Linear and Adjoint Models. Andrew Moore, CU Hernan Arango, Rutgers U Arthur Miller, Bruce Cornuelle, Emanuele Di Lorenzo, Doug Neilson UCSD. Major Objective.

enid
Download Presentation

ROMS/TOMS Tangent Linear and Adjoint Models

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. ROMS/TOMS Tangent Linear and Adjoint Models Andrew Moore, CU Hernan Arango, Rutgers U Arthur Miller, Bruce Cornuelle, Emanuele Di Lorenzo, Doug Neilson UCSD

  2. Major Objective • In addition to IOM, provide the ocean modelling community with analysis and prediction tools available in meteorology and NWP, using a community OGCM (ROMS).

  3. Overview • NL ROMS: • Perturbation:

  4. Overview • NL ROMS: • TL ROMS: (TL1) • AD ROMS: (AD)

  5. Overview • Second TLM: (TL2) • TL1= Representer Model • TL2= Tangent Linear Model

  6. Current Status of TL and AD • All advection schemes • Most mixing and diffusion schemes • All boundary conditions • Orthogonal curvilinear grids • All equations of state • Coriolis, pressure gradient, etc.

  7. Picard Iteration Test (TL2):

  8. 1 1 1 2 2 3 3 4 4 5 5 1 • 6 month integration time • 50 Picard iterations 2 3 4 5

  9. Available Drivers (TL1, AD) • Singular vectors: • Eigenmodes of and • Forcing Singular vectors: • Stochastic optimals: • Pseudospectra:

  10. Southern California Bight (SCB) • Model grid 1200kmX1000km • 10km resolution, 20 levels • Di Lorenzo et al. (2003)

  11. SCB Examples

  12. Pseudospectrum

  13. Singular Vectors • Energy norm, 5 day growth time

  14. Confluence and diffluence

  15. Boundary sensitivity

  16. Seasonal Dependence

  17. Stochastic Optimals

  18. Drivers under development • Ensemble prediction (SVs, FSVs, SOs, following NWP) • 4D Variational Assimilation (4DVar) • Greens function assimilation • IOM interface (IROMS) (NL, TL1, TL2, AD)

  19. Publications • Moore, A.M., H.G Arango, E. Di Lorenzo, B.D. Cornuelle, A.J. Miller and D. Neilson, 2003:A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model. Ocean Modelling, Final revisions. • H.G Arango, Moore, A.M., E. Di Lorenzo, B.D. Cornuelle, A.J. Miller and D. Neilson, 2003:The ROMS tangent linear and adjoint models: A comprehensive ocean prediction and analysis system. Rutgers Tech. Report, In preparation.

  20. What next? • Complete 4DVar driver • Interface barotropic ROMS to IOM • Complete 3D Picard iteration test (TL2) • Interface 3D ROMS to IOM

  21. SCB Examples

  22. Confluence and diffluence

  23. Boundary sensitivity

  24. Stochastic Optimals

More Related