A Self-Affine Multi-Fractal Wave/Turbulence Discrimination Method Using Data from Single Point Fast Response Sensors in a Nocturnal Atmospheric Boundary Layer
Technical rept. Oct 1990-Sep 1991
NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF PHYSICS
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We present D sub A, a self-affine, multi-fractal which may become the first routine waveturbulence discriminant for time series data. Using nocturnal atmospheric data, we show the advantages of D sub A over self-similar fractals and standard turbulence measures such as FFTs, Richardson number, Brunt Vaisala frequency, buoyancy length scale, variances, turbulent kinetic energy, and phase averaging. D sub A also shows promise in resolving wave-break events. Since it uses local basis functions, D sub A may be ideal tool to detect intermittent turbulence, coherent structures, and discrete wave trains in general. D sub A may also be a measure of chaos in general.