Data assimilation methods for highly non-linear models via efficient and practical covariance matrix estimators

In this research, efficient and practical implementation methods for data assimilation will be proposed using covariance matrix estimators, like Ledoit and Wolf (LW), and using an hybrid method based on modified Cholesky decomposition. The main idea is explote the rank-deficiency of the ensemble cov...