Abstract

A data-assimilation method is introduced for large-scale applications in the ocean and the atmosphere that does not rely on Gaussian assumptions, i.e. it is completely general following Bayes theorem. It is a so-called particle filter. A truly variance minimizing filter is introduced and its performance is demonstrated
with the KdV equation
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