Spectral moments for the analysis of frequency shift, broadening, and wavevector anisotropy in a turbulent flow

Turbulence represents essentially random fluctuations that evolve both spatially and temporally, and appear in various geophysical and space science applications. A spectral moment method is proposed to characterize the turbulence energy spectra in the wavevector and frequency domain in the lowest-o...

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Bibliographic Details
Published inEarth, planets, and space Vol. 69; no. 1; pp. 1 - 10
Main Author Narita, Y.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 26.05.2017
Springer Nature B.V
SpringerOpen
Subjects
3. Space science
Anisotropy
Computational fluid dynamics
Earth and Environmental Science
Earth Sciences
Energy spectra
Frequency shift
Geology
Geophysics
Geophysics/Geodesy
Jupiter
Moment calculation
Ocean currents
Random sweeping model
Solar wind
Space science
Turbulence
Turbulence energy spectra
Turbulent flow
Velocity
Wavelengths
Wind power
Turbulence energy spectra
Random sweeping model
Moment calculation
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Summary:Turbulence represents essentially random fluctuations that evolve both spatially and temporally, and appear in various geophysical and space science applications. A spectral moment method is proposed to characterize the turbulence energy spectra in the wavevector and frequency domain in the lowest-order sense. The frequency shift velocity and the random sweeping velocity are obtained from the first-order and second-order moments of the wavenumber–frequency spectra. The maximum extension direction and the elliptic spectral shape are obtained from the second-order moments of the wavevector spectra. The algorithm for the spectral moment computation is presented with synthetic energy spectra and solar wind energy spectra. Graphical abstract .
ISSN:1880-5981
1880-5981
DOI:10.1186/s40623-017-0658-7