A self-affine multi-fractal wave turbulence discrimination method using data from single point fast response sensors in a nocturnal atmospheric boundary layer

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Kamada, Ray; Decaria, Alex Joseph;
  • Publisher: Monterey, California. Naval Postgraduate School
  • Subject: ATMOSPHERIC TURBULENCE--MATHEMATICAL MODELS. | Stable boundary layer, self-affine fractals, turbulence intermittency , coherent structures, wave trains, wavebreaking

We present DA, a self-affine, multi-fractal which may become the first routine wave/turbulence discriminant for time series data. Using nocturnal atmospheric data, we show the advantages of D A over self-similar fractals and standard turbulence measures such as FFTs, R... View more
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