Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var data assimilation

<p>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, pos...

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Bibliographic Details

Published in:	Atmospheric Chemistry and Physics
Main Authors:	M. Stanley, M. Kuusela, B. Byrne, J. Liu
Format:	Article
Language:	English
Published:	Copernicus Publications 2024-08-01
Online Access:	https://acp.copernicus.org/articles/24/9419/2024/acp-24-9419-2024.pdf