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...
Saved in:
Published in | Earth, planets, and space Vol. 69; no. 1; pp. 1 - 10 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
26.05.2017
Springer Nature B.V SpringerOpen |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |