Flow state estimation in the presence of discretization errors
Flow state estimation in the presence of discretization errors
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Publisher
Cambridge: Cambridge University Press
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Language
English
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Publisher
Cambridge: Cambridge University Press
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Scope and Contents
Contents
Ensemble data assimilation methods integrate measurement data and computational flow models to estimate the state of fluid systems in a robust, scalable way. However, discretization errors in the dynamical and observation models lead to biased forecasts and poor estimator performance. We propose a low-rank representation for this bias, whose dynami...
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Full title
Flow state estimation in the presence of discretization errors
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_2375839327
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2375839327
Other Identifiers
ISSN
0022-1120
E-ISSN
1469-7645
DOI
10.1017/jfm.2020.103
