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- W298002211 abstract "Abstract : Lime series from a nocturnal boundary layer are analyzed using fractal techniques. The behavior of the self-affine fractal dimension, D and, is found to drop during a gravity wave train and rise with turbulence. D and, is proposed as a time series conditional sampling criterion for distinguishing waves from turbulence. Only weak correlations are found between D and, bulk turbulence measures such as Brunt-Vaisala frequency, Richardson number and buoyancy length. The advantages of analysis over turbulent kinetic energy (TKE), its component variances, FFT spectra, and self-similar fractals are also discussed in terms of local versus global basis functions dimensional suitability, noise, algorithm complexity, and other factors. D and was found to be the only measure capable of reliably distinguishing the wave from turbulence. Fractals, Gravity waves, Turbulence, Boundary layer meteorology, Time series." @default.
- W298002211 created "2016-06-24" @default.
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- W298002211 date "1992-03-01" @default.
- W298002211 modified "2023-09-27" @default.
- W298002211 title "Multi-fractal analysis of nocturnal boundary layer time series from the Boulder Atmospheric Observatory." @default.
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