Spatiotemporal spectral transfers in fluid dynamics
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arXiv
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| Format: | Preprint |
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2024
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| author | Mondal, Avik Morten, Andrew J. Arbic, Brian K. Flierl, Glenn R. Scott, Robert B. Skitka, Joseph |
| author_facet | Mondal, Avik Morten, Andrew J. Arbic, Brian K. Flierl, Glenn R. Scott, Robert B. Skitka, Joseph |
| contents | Motivated by previous work on kinetic energy cascades in the ocean and atmosphere, we develop a spatio-temporal 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 applications such as the study of ocean or atmosphere 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 spatio-temporal frequency transfers. As an illustrative example, we use the spatio-temporal 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 spatio-temporal 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 spatio-temporal variability in a wide range of fluids applications as higher resolution data and simulations become more widely available. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2405_02259 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spatiotemporal spectral transfers in fluid dynamics Mondal, Avik Morten, Andrew J. Arbic, Brian K. Flierl, Glenn R. Scott, Robert B. Skitka, Joseph Fluid Dynamics Atmospheric and Oceanic Physics Plasma Physics Motivated by previous work on kinetic energy cascades in the ocean and atmosphere, we develop a spatio-temporal 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 applications such as the study of ocean or atmosphere 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 spatio-temporal frequency transfers. As an illustrative example, we use the spatio-temporal 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 spatio-temporal 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 spatio-temporal variability in a wide range of fluids applications as higher resolution data and simulations become more widely available. |
| title | Spatiotemporal spectral transfers in fluid dynamics |
| topic | Fluid Dynamics Atmospheric and Oceanic Physics Plasma Physics |
| url | https://arxiv.org/abs/2405.02259 |