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Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators
Simulator imperfection, often known as model error, is ubiquitous in practical data assimilation problems. Despite the enormous efforts dedicated to addressing this problem, properly handling simulator imperfection in data assimilation remains to be a challenging task. In this work, we propose an ap...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622502/ https://www.ncbi.nlm.nih.gov/pubmed/31295300 http://dx.doi.org/10.1371/journal.pone.0219247 |