Wave-Number Spectral Characteristics of Drift Wave Micro-Turbulence with Large-Scale Structures

LI Jiquan; Y. KISHIMOTO

Plasma Science and Technology > 2011 > 13(3): 297-301.

LI Jiquan, Y. KISHIMOTO. Wave-Number Spectral Characteristics of Drift Wave Micro-Turbulence with Large-Scale Structures[J]. Plasma Science and Technology, 2011, 13(3): 297-301.

Citation:

LI Jiquan, Y. KISHIMOTO. Wave-Number Spectral Characteristics of Drift Wave Micro-Turbulence with Large-Scale Structures[J]. Plasma Science and Technology, 2011, 13(3): 297-301.

Citation:

LI Jiquan, Y. KISHIMOTO. Wave-Number Spectral Characteristics of Drift Wave Micro-Turbulence with Large-Scale Structures[J]. Plasma Science and Technology, 2011, 13(3): 297-301.

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Wave-Number Spectral Characteristics of Drift Wave Micro-Turbulence with Large-Scale Structures

Funds: This work was supported by the Grant-in-Aid from JSPS (No. 19560828). It was also partially supported by the JSPS-CAS Core University program in the field of ‘Plasma and Nuclear Fusion’.

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Abstract

Abstract

Wave-number spectral characteristics of drift wave micro-turbulence with large-scale structures (LSSs) including zonal flows (ZFs) and Kelvin-Holmheltz (KH) mode are investigated based on three dimensional gyrofluid simulations in a slab geometry. The focus is on the property of the wave-number spectral scaling law of the ambient turbulence under the back reaction of the self-generated LSSs. A comparison of the spectral scaling laws between ion/electron temperature gradient (ITG/ETG) driven turbulences is presented. It is shown that the spectral scaling of the ITG turbulence with robust ZFs are fitted well by an exponential-law function in and a power-law one in . However, the ETG turbulence is characterized by a mixing Kolmogorov-like power-law and exponential-law scaling for both and spectra due to the ZFs and KH mode dynamics, with and the slope index factors. The underlying physical mechanism is understood as the spectral scattering caused by the back-reaction of the LSSs on the ambient turbulence. These findings may provide helpful guideline to diagnose the plasma fluctuations and flow structures in experiments.
- Spectral scaling law,
- zonal flows,
- micro-turbulence,
- gyrofluid simulation

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