Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above
Global Bayesian optimization (GBO) is a derivative-free optimization method that is used widely in the tech-industry to optimize objective functions that are expensive to evaluate, numerically or otherwise. We discuss the use of GBO in ensemble data assimilation (DA), where the goal is to update the...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Taylor & Francis Group
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/028de1b4d61b4d8c8fb124ca91f85a41 |
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