The ROMS IAS Data Assimilation and Prediction System: Quantifying Uncertainty
Abstract
The long-term scientific goals of this research project are: 1. To develop a state-of-the-art ocean 4-dimensional variational (4D-Var) data assimilation and ocean forecasting system for the Regional Ocean Modeling System (ROMS); 2. To develop a state-of-the-art suite of post-processing and diagnostic tools in support of ROMS 4D-Var; 3. To gain the necessary experience using the ROMS 4D-Var systems in complex circulation environments; 4. To train the next generation of users of the ROMS 4D-Var system. The main objectives of this project are: (i) to assess the impact of observations on ocean state estimates and the ensuing forecasts; (ii) to quantify the expected errors in 4D-Var ocean circulation estimates; and (iii) to develop multimodel ensemble and superensemble methods for ocean models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2010
- Accession Number
- ADA542792
Entities
People
- Andrew M. Moore
- Brian A Powell
Organizations
- University of California, Santa Cruz