2020
DOI: 10.1017/jfm.2020.382
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Dimensional reduction of direct statistical simulation

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Cited by 21 publications
(20 citation statements)
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“…On the other hand, GQL appears to contain enough nonlinearity to represent the complicated nonlinear relaxation oscillation. This result is encouraging for a program of direct statistical simulation based on GQL or upon DSS formulations predicated on more sophisticated averaging procedures than simple zonal averaging (Bakas & Ioannou 2013, 2014; Allawala, Tobias & Marston 2017).…”
Section: Discussionmentioning
confidence: 76%
“…On the other hand, GQL appears to contain enough nonlinearity to represent the complicated nonlinear relaxation oscillation. This result is encouraging for a program of direct statistical simulation based on GQL or upon DSS formulations predicated on more sophisticated averaging procedures than simple zonal averaging (Bakas & Ioannou 2013, 2014; Allawala, Tobias & Marston 2017).…”
Section: Discussionmentioning
confidence: 76%
“…A study of rotating plane Couette flow [39] has provided an illustration of the ability of GQL to capture features that QL does not. Another type of mean flow for which the quasilinear approach can be used is the ensemble average [40]. Ensemble averaging, like temporal averaging, can also be combined with averaging over a homogeneous spatial direction as in Refs.…”
Section: Semilinear or Quasilinear Modelsmentioning
confidence: 99%
“…Other reduced-order models in which sets of modes or interactions are omitted have been proposed and implemented for many other hydrodynamic phenomena, notably in aeronautics and fluid mechanics [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. and in geophysics and astrophysics [35][36][37][38][39][40]. Some of these models will be compared to RZIF and SCM in the next section.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the dynamics of the low-order statistics is usually slower than that of the original equations. In addition, it is possible to reduce the complexity of the problem by employing proper orthogonal decomposition (Allawala, Tobias & Marston 2017). This approach has not yet been applied to magnetohydrodynamics and the dynamo problem, but it has the potential of being a strong competitor in addressing the high Reynolds number dynamics of problems of astrophysical and geophysical relevance.…”
Section: Building Blocks Used In Modern Mean-field Theorymentioning
confidence: 99%