Scientific Grand Challenge: To provide improved estimates of important unobserved climate variables and state representations of the earth system through the use of advanced statistical analysis schemes and state-of-the-art climate models.
Scientific Understanding: To validate the paradigm of Kalman filtering in large applied problems as a complete and rigorous approach to data assimilation.
Computational Challenge: To increase the present observational datasets used in the data assimilation while simultaneously increasing the resolution of the Optimal Interpolation Analysis code.
Metric: To increase by an order of magnitude the available datasets used in assimilation and to increase by a factor of two or more the numerical resolution of the Optimal Interpolation Analysis code.
