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Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems
A framework for low-order predictive statistical modeling and uncertainty quantification in turbulent dynamical systems is developed here. These reduced-order, modified quasilinear Gaussian (ROMQG) algorithms apply to turbulent dynamical systems in which there is significant linear instability or li...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
National Academy of Sciences
2013
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3752260/ https://ncbi.nlm.nih.gov/pubmed/23918398 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1313065110 |
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