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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Author
Contributions
- Decaria, Alex Joseph - Contributor
- Naval Postgraduate School (U.S.). - Contributor
Publication
1992 - Naval Postgraduate School, Monterey, Calif, California
Language
English
Word Count
11,250 words, Guess
Page Count
45 pages
Identifiers
- Internet Archiveselfaffinemultif00kama
- Open LibraryOL25487403M
Alternate 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.
Subjects
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