Articles | Volume 26, issue 2
https://doi.org/10.5194/npg-26-109-2019
https://doi.org/10.5194/npg-26-109-2019
Research article
 | 
14 Jun 2019
Research article |  | 14 Jun 2019

A Bayesian approach to multivariate adaptive localization in ensemble-based data assimilation with time-dependent extensions

Andrey A. Popov and Adrian Sandu

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Latest update: 22 May 2024
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Short summary
This work has to do with a small part of existing algorithms that are used in applications such as predicting the weather. We provide empirical evidence that our new technique works well on small but representative models. This might lead to creation of a better weather forecast and potentially save lives as in the case of hurricane prediction.