ROMS Data Assimilation Tools and Techniques
GEORGIA INST OF TECH ATLANTA SCHOOL OF EARTH AND ATMOSPHERIC SCIENCES
Pagination or Media Count:
Our long-term technical goal is to develop and test the Tangent Linear Model TLM, Representer Model RPM, and Adjoint Model ADM versions of ROMS Regional Ocean Modeling System and TOMS Terrain-following Ocean Modeling System for variational data assimilation, ensemble forecasting, and stability analysis. The primary focus is to develop a general platform for strong and weak constraint 4D Variational data assimilation 4DVar to develop an ensemble prediction capability based on optimal perturbations and stochastic optimals and to develop stability analysis tools based on eigenmodes and singular vectors to explore the role of environmental stochastic forcing in shaping ocean circulation. Our long-term scientific goal is to model and predict the mesoscale circulation and the ecosystem response to physical forcing in the various regions of the World Ocean through state estimation.
- Physical and Dynamic Oceanography
- Statistics and Probability