Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems

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Best unbiased ensemble linearization and the quasi‐linear Kalman ensemble generator (2009, methodology): “[24] On the basis of its past successes, EnKFs have received quickly growing attention in hydrogeological studies, as summarized by Chen and Zhang [2006], Hendricks Franssen and Kinzelbach [2008a, 2008b] .”
Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations (2013, background): “, [31, 76]), but the multivariate structure still poses a problem.”