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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Authors
Kamada, Ray
Decaria, Alex Joseph
Subjects
Stable boundary layer, self-affine fractals, turbulence intermittency , coherent structures, wave trains, wavebreaking
Advisors
Date of Issue
1992-04
Date
1992-04
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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, Richardson number, Brunt-Vaisala frequency, buoyancy length scale, variances, turbulent kinetic energy, and phase averaging. DA also shows promise in resolving "wave-break" events. Since it uses local basis functions, DA may be an ideal tool to detect intermittent turbulence, coherent structures, and discrete wave trains in general. DA may also be a measure of chaos in general.
Type
Technical Report
Description
Series/Report No
Department
NA
Identifiers
NPS Report Number
NPS-PH-92-008
Sponsors
U.S. Air Force, Space Division, Los Angeles, CA
Funder
MPIR FY76169100412
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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