2007
DOI: 10.1016/j.jcp.2007.09.002
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Statistical mechanics of Arakawa’s discretizations

Abstract: C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a Modelling, Analysis and Simulation Modelling, Analysis and SimulationStatistical mechanics of Arakawa's discretizations S.B. Dubinkina, J.E. Frank Statistical mechanics of Arakawa's discretizations ABSTRACT The results of statistical analysis of simulation data obtained from long-time integrations of geophysical fluid models greatly depend on the conservation properties of the numerical discretization chosen. Statistical mechanical theories are … Show more

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Cited by 36 publications
(52 citation statements)
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“…In [8] we analyzed energy and enstrophy conserving finite difference methods for the QG model under topographic forcing, and observed that the discrete time-averaged mean fields q and ψ obtained depend heavily on the conservation properties of the discretizations used. For a discretization that conserves energy only, the predicted mean field is uniformly zero velocity Ψ = 0.…”
Section: Review Of Continuum Statistical Equlibrium Theoriesmentioning
confidence: 99%
“…In [8] we analyzed energy and enstrophy conserving finite difference methods for the QG model under topographic forcing, and observed that the discrete time-averaged mean fields q and ψ obtained depend heavily on the conservation properties of the discretizations used. For a discretization that conserves energy only, the predicted mean field is uniformly zero velocity Ψ = 0.…”
Section: Review Of Continuum Statistical Equlibrium Theoriesmentioning
confidence: 99%
“…Равнораспределение энергии по модам наблюдается и в численных экспериментах, однако мы не будем здесь приводить их результаты по причине тривиальности полученных решений. Аналогичный результат был получен в работе [13]. Равновесный спектр энстрофии для дискретизации с двумя инвариантами (2.38) имеет вид…”
Section: )unclassified
“…В обеих работах аналогичная нашей задача ре-шалась спектральными методами. В работе [13] относительная точность составляла 3·10 −11 для дискретизации Аракавы, однако при значительно более низком разрешении 22 2 .…”
Section: интегрирование по времени дискретизации с двумя инвариантамиunclassified
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“…Arakawa, in [3], proposed a particular second-order mimetic finite-difference Jacobian operator and showed the superiority of his solution with respect to other non-mimetic schemes [4]. His solution have been widely used [25], [12], studied [18], [8], and generalized [7], [24], [19].…”
Section: Introductionmentioning
confidence: 99%