The ROMS IAS Data Assimilation and Prediction System: Quantifying Uncertainty
Final rept. 1 Apr 2008-31 Mar 2011
CALIFORNIA UNIV SANTA CRUZ DEPT OF OCEAN SCIENCES
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The main objectives of this project were i to assess the impact of observations on ocean state estimates and the ensuing forecasts ii to quantify the expected errors in 4-dimensional variational 4D-Var ocean circulation estimates and iii to develop multimodel ensemble and superensemble methods for ocean models. The primary tool used in this project was the Regional Ocean Modeling System ROMS. To address the aforementioned goals and objectives, we used a recently developed suite of tools that utilize the tangent linear , adjoint, and finite-amplitude tangent linear versions of the ROMS code. Three 4D-Var data assimilation systems have been developed for ROMS, one based on the primal formulation and two based on the dual formulation. During the project we completed the following tasks I observation impact, 2 observation sensitivity, 3 Analysis and forecast error estimates based on adjoint 4D-Var, 4 Graduate student and post-doc training and mentoring, 5 a 4D-Var training workshop, and 6 preparation and publication of five manuscripts.
- Physical and Dynamic Oceanography