Combining Dynamic Mode Decomposition with Ensemble Kalman Filtering for Tracking and Forecasting

Stephen A Falconer, David J. B. Lloyd, Naratip Santitissadeekorn

Data assimilation techniques, such as ensemble Kalman filtering, have been shown to be a highly effective and efficient way to combine noisy data with a mathematical model to track…