Simple distance-based localization (Gaspari-Cohn) generally beats or matches fancier covariance estimation methods in cycling ensemble data assimilation on two test models.
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Numerical study of high-dimensional covariance estimation and localization for data assimilation
Simple distance-based localization (Gaspari-Cohn) generally beats or matches fancier covariance estimation methods in cycling ensemble data assimilation on two test models.