Vortices in a rotating shear layer

Proceedings of the 1999 3rd ASME/JSME Joint Fluids Engineering Conference, FEDSM'99, San Francisco, California, USA, 18-23 July 1999 (CD-ROM) (1999) 1

Authors:

WG Fruh, PL Read

Abstract:

Results from an experimental study of vortices in a rotating shear layer will be presented. Through the rotation of circular sections in the base and lid of a circular tank, a vertical shear layer is created in the fluid interior. In supercritical conditions, the flow is in the form of a regular string of two-dimensional, vertically uniform, vortices along the now wavy shear layer. Once established, the vortices are very stable flow structures that persist as long as the shear is maintained. Under most conditions the vortices were steady, but quasi-periodic and chaotic flows were also observed. The data from the experiments are in the form of maps of the instantaneous horizontal velocity field obtained by a particle tracking technique similar to Particle Image Velocimetry (PIV). The data would be useful validate both the spatial and temporal behaviour of numerical models.

Dynamics of a passive tracer in a velocity field of four identical point vortices

Journal of Fluid Mechanics Cambridge University Press (CUP) 394 (1999) 137-174

Authors:

STEFANELLA BOATTO, RAYMOND T PIERREHUMBERT

Huascaran δ18O as an indicator of tropical climate during the Last Glacial Maximum

Geophysical Research Letters American Geophysical Union (AGU) 26:9 (1999) 1345-1348

Subtropical water vapor as a mediator of rapid global climate change

Chapter in Mechanisms of Global Climate Change at Millennial Time Scales, American Geophysical Union (1999) 22

POD analysis of baroclinic wave flows in the thermally-driven, rotating annulus experiment

Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 24:5 (1999) 449-453

Authors:

AV Stephen, IM Moroz, PL Read

Abstract:

The Proper Orthogonal Decomposition (POD) is a procedure to compute an orthogonal basis from a time series of spatial fields. This basis is optimal among all linear decompositions, in the sense that for a given number of modes, the projection of the original signal onto the subspace will contain the most variance on average. This algorithm is applied to streamfunction fields derived from measurements of the flow in the thermally forced rotating annulus experiment. Results of this analysis are presented, and a method to derive low-dimensional models of the flow by projecting the equations of motion onto these empirical eigenfunctions is discussed.