Spatiotemporal spectral transfers in fluid dynamics

Motivated by previous work on kinetic energy cascades in the ocean, atmosphere, plasmas, and other fluids, we develop a spatiotemporal spectral transfer tool that can be used to study scales of variability in generalized dynamical systems. In particular, we use generalized time-frequency methods from signal analysis to broaden the applicability of frequency transfers from theoretical to practical fluids applications such as the study of observational data or simulation output. We also show that triad interactions in wavenumber used to study kinetic energy and enstrophy cascades can be generalized to study triad interactions in frequency or wavenumber frequency. We study the effects of sweeping on the locality of frequency transfers and frequency triad interactions to better understand the locality of spatiotemporal frequency transfers. As an illustrative example, we use the spatiotemporal spectral transfer tool to study the results of a simulation of two-dimensional homogeneous isotropic turbulence. This simulated fluid is forced at a well-defined wavenumber and frequency with dissipation occurring at both large and small scales, making this one of the first studies of “modulated turbulence” in two dimensions. Our results show that the spatiotemporal transfers we develop in this paper are robust to potential practical problems such as low sampling rates or nonstationarity in time series of interest. We anticipate that this method will be a useful tool in studying scales of spatiotemporal variability in a wide range of fluids applications as higher resolution observations and simulations of fluids become more widely available.

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Publication Details

Journal
Physical Review Fluids
Published
2025-06-02
DOI
https://doi.org/10.1103/physrevfluids.10.064602
Citations
2
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
3.59

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article

Spatiotemporal spectral transfers in fluid dynamics

Glenn R. Flierl, Joseph Skitka, Robert B. Scott, Avik Mondal et al.
2 citations
Physical Review Fluids
Oceanographic and Atmospheric Processes
3.59
article

Spatiotemporal spectral transfers in fluid dynamics

Glenn R. Flierl, Joseph Skitka, Robert B. Scott, Avik Mondal, Brian K. Arbic, Andrew J. Morten
article en
2 citations

Abstract

Motivated by previous work on kinetic energy cascades in the ocean, atmosphere, plasmas, and other fluids, we develop a spatiotemporal spectral transfer tool that can be used to study scales of variability in generalized dynamical systems. In particular, we use generalized time-frequency methods from signal analysis to broaden the applicability of frequency transfers from theoretical to practical fluids applications such as the study of observational data or simulation output. We also show that triad interactions in wavenumber used to study kinetic energy and enstrophy cascades can be generalized to study triad interactions in frequency or wavenumber frequency. We study the effects of sweeping on the locality of frequency transfers and frequency triad interactions to better understand the locality of spatiotemporal frequency transfers. As an illustrative example, we use the spatiotemporal spectral transfer tool to study the results of a simulation of two-dimensional homogeneous isotropic turbulence. This simulated fluid is forced at a well-defined wavenumber and frequency with dissipation occurring at both large and small scales, making this one of the first studies of “modulated turbulence” in two dimensions. Our results show that the spatiotemporal transfers we develop in this paper are robust to potential practical problems such as low sampling rates or nonstationarity in time series of interest. We anticipate that this method will be a useful tool in studying scales of spatiotemporal variability in a wide range of fluids applications as higher resolution observations and simulations of fluids become more widely available.

Physical Review FluidsVol. 10(6)
Australian National University (AU), Université de Bretagne Occidentale (FR), University of Michigan (US), Laboratoire de Mathématiques de Bretagne Atlantique (FR), Massachusetts Institute of Technology (US)
National Science Foundation, University of Michigan, Centre Henri Lebesgue, Australian National University, Office of Naval Research
Openalex Percentile: Top 8%
Oceanographic and Atmospheric Processes
3.59
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