For plasmas suspended in tokamaks, this process is commonly modeled by the Hasegawa-Mima equation. It can be numerically simulated by two-equation k-epsilon or k-omega models, while simpler models include the algebraic Johnson-King and Cebeci-Smith models. A Lagrangian formulation of this process requires using a substantive derivative as a tracer and finding hyperbolic fixed points. Atmospheric instances of this phenomenon can be modeled using the von Karman constant, while like convection, analyzing it often requires averaging the stress tensor over time, a strategy 
For plasmas suspended in tokamaks, this process is commonly modeled by the Hasegawa-Mima equation. It can be numerically simulated by two-equation k-epsilon or k-omega models, while simpler models include the algebraic Johnson-King and Cebeci-Smith models. A Lagrangian formulation of this process requires using a substantive derivative as a tracer and finding hyperbolic fixed points. Atmospheric instances of this phenomenon can be modeled using the von Karman constant, while like convection, analyzing it often requires averaging the stress tensor over time, a strategy known as the Boussinesq approximation. The rate of energy dissipation to the ¼ power is inversely proportional to its length scale according to the Kolmogorov theory, and the transition to it is characterized by an increased ratio of inertial forces to viscous forces. Characterized by eddies and vortices, for 10 points, name this type of flow that occurs at high Reynolds numbers.
For plasmas suspended in tokamaks, this process is commonly modeled by the Hasegawa-Mima equation.
{Turbulence} or {Turbulent flow} (word forms ok)