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Model‐space localization in serial ensemble filters
Journal of Advances in Modeling Earth Systems
Ensemble-based data assimilation systems typically use covariance localization to dampen spurious correlations associated with sampling error while increasing the rank of the covariance estimate. Variational methods use model-space localization, in which localization is applied to ensemble estimates of covariances between model variables and is based on distances between those variables, while ensemble filters apply observation-space localization to estimates of model-observation covariances,doi:10.1029/2018ms001514 fatcat:c45uvzle5zairhhskyxpq6zpky