ROMS Framework and Algorithms

Hernan G. Arango
IMCS, Rutgers University, New Brunswick, NJ, USA


An overview of ROMS framework and algorithms will be presented. Following the Numerical Weather Prediction approach, we have built several adjoint-based platforms for variational data data assimilation, ensemble prediction, Generalized Stability Theory (GST) analysis, and adjoint sensitivity analysis. The data assimilation algorithms include both strong (incremental 4DVar) and weak (indirect representers, 4DPSAS) contraint methods. The GST alogorithms are used to study the dynamics, sensitivity, and stability of the ocean circulation to naturally occurring perturbations, errors or uncertainties in the the forecasting system. They can also be used to create ensemble initial conditions and to examine adaptive sampling strategies. The adjoint sensitivity platform can be used to study all the physical attributes of the ocean circulation, in a particular region, for any defined sensitivity measure or functional.