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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Sapsis, Themistoklis P., Majda, Andrew J.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: National Academy of Sciences 2013
Gaiak:
Sarrera elektronikoa: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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