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domain: "acp.copernicus.org",
path: "articles/24/9419/2024/",
title: "Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var ...",
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Abstract. Through the Bayesian lens of four-dimensional variational (4D-Var) data assimilation, uncertainty in model parameters is traditionally quantified through the posterior covariance matrix. However, in modern settings involving high-dimensional and computationally expensive forward models, ...