Optimizing Scrum Mesoscale Eddy Forecasts
Abstract
Our long term technical goal is to produce a tested adjoint for ROMS (the Regional Ocean Modeling System, descended from SCRUM) that is suitable for general use by ROMS modelers. This is complementary to the Kalman Filter, ESSE, and Singular Vector techniques being developed by Rutgers, Harvard and University of Colorado scientists. Our long-term scientific goal is to model and predict the mesoscale circulation and the ecosystem response to physical forcing in the California Current System (especially the CalCOFI region) through ROMS primitive equation modeling/assimilation. We seek to develop an adjoint model for the Rutgers/UCLA Regional Ocean Modeling System (ROMS) which is a parallel/improved physics descendent of the serial SCRUM (Song and Haidvogel, 1994). We also seek to complete the assimilation system by including the adjoint in an estimation procedure for fitting the model to data. The resulting codes will be suitable for general use in any geometry of ROMS, which presently lacks an adjoint. The adjoint for ROMS will be tested in the California Current CalCOFI region where we are presently applying ROMS (under NASA funding) to a physical-biological data synthesis and a model forecast scenario.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2000
- Accession Number
- ADA609847
Entities
People
- Arthur J. Miller
- Bruce D. Cornuelle
Organizations
- Scripps Institution of Oceanography