2000
DOI: 10.1175/1520-0493(2000)128<2835:aeoeas>2.0.co;2
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An Evaluation of Eulerian and Semi-Lagrangian Advection Schemes in Simulations of Rotating, Stratified Flows in the Laboratory. Part I: Axisymmetric Flow

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Cited by 19 publications
(19 citation statements)
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“…Office/Oxford Rotating Annulus Laboratory Simulation (MORALS) [5,40,41]. This is a direct numerical simulation code which employs a finite difference scheme using a leapfrog method with Robert-Asselin filter for the integration.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…Office/Oxford Rotating Annulus Laboratory Simulation (MORALS) [5,40,41]. This is a direct numerical simulation code which employs a finite difference scheme using a leapfrog method with Robert-Asselin filter for the integration.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…We use the Met Office/Oxford Rotating Annulus Laboratory Simulation (MORALS) code (Farnell and Plumb, 1976;Hignett et al, 1985;Read et al, 2000) 1 , which is wellestablished as a comprehensive and quantitatively accurate model for dynamical behaviour in the rotating annulus, at least in regular and weakly vacillating regimes . It solves the Navier-Stokes, mass continuity, and heat transfer equations along with a Poisson equation for pressure, and equations of state for density, viscosity and thermal diffusivity ( tion for a cylindrical fluid annulus rotating at angular velocity .…”
Section: The Simulationmentioning
confidence: 99%
“…Read et al [20] use the annulus to study how well numerical transport schemes compare to real observations and report that Eulerian schemes, such as used in this paper, have skill. In more recent work Read [18] combines numerical studies with laboratory experiments in the study of heat transport and effort has been afoot to study prediction and predictability problems using the laboratory setting [25,26,16,17].…”
Section: Introductionmentioning
confidence: 99%
“…It is a robust experiment, easily conducted in the laboratory. It has been used to study a variety of physical phenomena including geostrophic turbulence [14], convection [8], baroclinic instability [9,23,18], and chaos [19,10], and as a test-bed for evaluating the utility of numerical models [20,6].…”
Section: Introductionmentioning
confidence: 99%