A self-affine multi-fractal wave turbulence discrimination method using data from single point fast response sensors in a nocturnal atmospheric boundary layer
By: by R.F. Kamada and A.J. DeCaria
Contributors: Decaria, Alex Joseph; Naval Postgraduate School (U.S.).
Publisher: Naval Postgraduate School
Published: 1992
Place of publication: Monterey, Calif
Language: eng
Number of pages: 45
Subjects: Mathematical models; FRACTALS, TURBULENCE, ATMOSPHERIC MOTION; Multifractals; Atmospheric turbulence
Other titles: NPS-PH-92-008.
Description: Atmospheric boundary layer, Multifractal waves, Brunt Vaisala frequency. Abstract: We present D sub A, 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 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.
Notes: Cover title.

"NPS-PH-92-008."

"April 1992."

"Report for period October 1990 - September 1991."

AD A250 419

Includes bibliographical references (p. 41-42)

gk/dk cc:9116 10/22/96.