Asymptotic behavior of the forecast-assimilation process with unstable dynamics
Statistics Theory
2023-03-08 v2 Probability
Statistics Theory
Abstract
Extensive numerical evidence shows that the assimilation of observations has a stabilizing effect on unstable dynamics, in numerical weather prediction and elsewhere. In this paper, we apply mathematically rigorous methods to showing why this is so. Our stabilization results do not assume a full set of observations and we provide examples where it suffices to observe the model's unstable degrees of freedom.
Keywords
Cite
@article{arxiv.2202.02862,
title = {Asymptotic behavior of the forecast-assimilation process with unstable dynamics},
author = {Dan Crisan and Michael Ghil},
journal= {arXiv preprint arXiv:2202.02862},
year = {2023}
}
Comments
Revised version