Local and global properties of energy transfer in models of plasma turbulence

Vásconez, Christian L.; Perrone, D.; Marino, Raffaele; Laveder, D.; Valentini, F.; Servidio, S.; Mininni, Pablo D.; Sorriso‐Valvo, L.

doi:10.1017/s0022377820001567

Cited by 4 publications

(3 citation statements)

References 96 publications

(179 reference statements)

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“…A term describing the dissipation, called η∇ 2 S b /2, and a large-scale forcing terms, called −(∂S/∂t)/4, were also computed, in order to account for possible deviations from the strictly stationary state and for finite Reynolds number effects. Figure 31 Finally, Vásconez et al (2021) examined the different prominence of the Hall effect in different numerical models. To this aim, these authors used a set of two-dimensional numerical simulations with out-of-plane ambient magnetic field, including: (i) a Hall-MHD DNS (Perrone et al, 2018); (ii) a Landau Fluid model, which retains part of the low-frequency kinetic physics, such as the Landau damping, but uses a weakly nonlinear approximation (for a detailed description of the model, see Passot et al, 2014); and (iii) a hybrid Vlasov-Maxwell DNS, which describes the ion kinetic physics (including the Hall physics) at the expenses of scale separation in the MHD range (Valentini et al, 2007).…”

Section: Additional Terms For Hall-mhdmentioning

confidence: 99%

“…It is of course easy to imagine the extension of the LET to the more complete versions of the exact laws described in this review, for example to include anisotropy, Hall terms, and compressibility, and how this approach could provide crucial information on the specific locally dominating process or processes that drive the dissipation. Initial attempts in this direction were performed using numerical simulations of the Hall-MHD equations or of the Vlasov-Maxwell system (Yang et al, 2018;Vásconez et al, 2021;Pezzi et al, 2021). One example of a map of the LET for the Hall-MHD exact law, simply…”

Section: Sorrisomentioning

confidence: 99%

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Scaling Laws for the Energy Transfer in Space Plasma Turbulence

Marino,

Sorriso-Valvo

2023

Preprint

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One characteristic trait of space plasmas is the multi-scale dynamics resulting from non-linear transfers and conversions of various forms of energy. Routinely evidenced in a range from the large-scale solar structures down to the characteristic scales of ions and electrons, turbulence is a major cross-scale energy transfer mechanism in space plasmas. At intermediate scales, the fate of the energy in the outer space is mainly determined by the interplay of turbulent motions and propagating waves. More mechanisms are advocated to account for the transfer and conversion of energy, including magnetic reconnection, emission of radiation and particle energization, all contributing to make the dynamical state of solar and heliospheric plasmas difficult to predict. The characterization of the energy transfer in space plasmas benefited from numerous robotic missions. However, together with breakthrough technologies, novel theoretical developments and methodologies for the analysis of data played a crucial role in advancing our understanding of how energy is transferred across the scales in the space. In recent decades, several scaling laws were obtained providing effective ways to model the energy flux in turbulent plasmas. Under certain assumptions, these relations enabled to utilize reduced knowledge (in terms of degrees of freedom) of the fields from spacecraft observations to obtain direct estimates of the energy transfer rates (and not only) in the interplanetary space, also in the proximity of the Sun and planets. Starting from the first third-order exact law for the magnetohydrodynamics by Politano and Pouquet (1998), we present a detailed review of the main scaling laws for the energy transfer in plasma turbulence and their application, presenting theoretical, numerical and observational milestones of what has become one of the main approaches for the characterization of turbulent dynamics and energetics in space plasmas. Copyright permission for the seminar banner granted by [ESA/ATG medialab](https://www.esa.int/ESA_Multimedia/Images/2020/06/Solar_Orbiter_reaches_first_perihelion).

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Section: Additional Terms For Hall-mhdmentioning

confidence: 99%

Section: Sorrisomentioning

confidence: 99%

Scaling Laws for the Energy Transfer in Space Plasma Turbulence

Marino,

Sorriso-Valvo

2023

Preprint

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“…Wang et al [13] proposed an extended variational mode decomposition (VMD) method to discuss the multiscale characteristics of multi-component turbulence. Vásconez et al [14] studied the global and local properties of energy exchange and cascade in plasmas turbulence using the direct numerical simulations (DNS) model. It's worth noting that most of these aforementioned methods utilize the simulated turbulence data rather than the data observed in the actual deep-sea fields.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Spatio-Temporal Features Analysis Approach for Ocean Turbulence Using an Autonomous Vertical Profiler

et al. 2021

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Turbulent energy cascade and intermittency are very important characteristics in the turbulent energy evolution process. However, understanding the temporal–spatial features of kinetic energy transfer and quantifying the correlations between different scales of turbulent energy remains an outstanding challenge. To deeply understand the spatial–temporal features in the energy transfer process, an integrated features identification and extraction method is proposed to quantitatively investigate the correlations using the ocean shear turbulence measured by an autonomous vertical reciprocating profiler (AVRP). The proposed integrated method mainly contains two parallel features analysis modules: first, temporal multiscale features structures of the nonlinear and nonstationary turbulent cascade are identified by Variational Mode Decomposition (VMD); then, the ocean microstructure shear fluctuation data are decomposed into a series of intrinsic mode functions (IMFs), which are characterized by different time scales and frequency bandwidths. The local features of energy transfer are identified when the local intermittency peaks overlap and the phase-synchronization case occurs between two neighboring scales; second, the spatial statistical characteristics of the turbulent energy dissipation are quantitatively studied. The cumulative probability distribution functions (CPDFs) of kinetic energy dissipation are approximated well by a normal distribution, indicating that the turbulent dissipation process exhibits a robust spatial scaling correlation and a few intense dissipation locations dominate the integrated process. Finally, the proposed integrated method is evaluated through experiments using an autonomous vertical reciprocating profiler deployed in the South China Sea. Preliminary experimental results show that the proposed novel method is useful to improve our understanding of turbulent energy transfer and the evolution process in the ocean dynamic systems.

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Scaling laws for the energy transfer in space plasma turbulence

Marino

Sorriso‐Valvo

2023

Physics Reports

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Local and global properties of energy transfer in models of plasma turbulence

Cited by 4 publications

References 96 publications

Scaling Laws for the Energy Transfer in Space Plasma Turbulence

Scaling Laws for the Energy Transfer in Space Plasma Turbulence

An Integrated Spatio-Temporal Features Analysis Approach for Ocean Turbulence Using an Autonomous Vertical Profiler

Scaling laws for the energy transfer in space plasma turbulence

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