2023
DOI: 10.1029/2023gl105148
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Foundations for Universal Non‐Gaussian Data Assimilation

Senne Van Loon,
Steven J. Fletcher

Abstract: In many applications of data assimilation, especially when the size of the problem is large, a substantial assumption is made: all variables are well‐described by Gaussian error statistics. This assumption has the advantage of making calculations considerably simpler, but it is often not valid, leading to biases in forecasts or, even worse, unphysical predictions. We propose a simple, but effective, way of replacing this assumption, by making use of transforming functions, while remaining consistent with Bayes… Show more

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