A Data-Driven Method for Improving the Correlation Estimation in Serial Ensemble Kalman Filters
A Data-Driven Method for Improving the Correlation Estimation in Serial Ensemble Kalman Filters
A data-driven method for improving the correlation estimation in serial ensemble Kalman filters is introduced. The method finds a linear map that transforms, at each assimilation cycle, the poorly estimated sample correlation into an improved correlation. This map is obtained from an offline training procedure without any tuning as the …