Understanding turbulence in magnetically confined fusion plasmas is an important issue on the long road to fusion energy as a power source for humanity. Fusion plasmas are extreme, strongly driven systems, far from thermodynamic equilibrium, in which turbulence plays a major role. This book reviews some of the observations that reveal the complex nature of plasma turbulence in detail and explains their implications. The change in paradigm needed to understand the observations is then discussed and mathematical models are highlighted that might address the dynamics better than traditional models. Along the way, a range of advanced analysis tools needed to characterize turbulence in this complex regime are presented and illustrated, including non-linear analyses, causality, and intermittence. The book aims to stimulate their broader adoption for the analysis of data from both experiments and numerical turbulence simulations.
Key Features:
Reviews observations that reveal the complex nature of turbulence in fusion plasmas
Provides advanced data analysis techniques to characterize complex turbulence
Includes non-linear spectral analyses, causality, intermittence
Covers self-organization, long-range correlations, long-time memory, models for effective transport
Includes spontaneous structure formation from turbulence such as zonal flows, MHD modes
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