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A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering

A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering

Ensemble Kalman Filtering (EnKF) is a popular technique for data assimilation, with far ranging applications. However, the vanilla EnKF framework is not well-defined when perturbations are nonlinear. We study two non-linear extensions of the vanilla EnKF - dubbed the conditional-Gaussian EnKF (CG-EnKF) and the normal score EnKF (NS-EnKF) - which …