Ensemble Kalman Filter (EnKF) Data Assimilation Method

The Ensemble Kalman Filter (EnKF) data assimilation method effectively addresses computational inaccuracies and large-scale covariance matrix storage issues present in the Extended Kalman Filter's (EKF) covariance evolution equations. Its key advantage lies in controlling the growth of estimation error variance, significantly improving forecast accuracy through ensemble-based statistical approaches.