Rigorous accuracy and robustness analysis for two-scale reduced random Kalman filters in high dimensions

Andrew J. Majda, Xin T. Tong

Contemporary data assimilation often involves millions of prediction variables. The classical Kalman filter is no longer computationally feasible in such a high dimensional context…