Multiscale nature of turbulence in space plasmas

ORAL · Invited

Abstract

Turbulence enters into space plasmas in many guises. The complexity and variability of the behavior of plasma turbulence is in large part due to the involvement of dynamics at many scales, ranging from macroscopic fluid to sub-electron scales. Based on what plasma properties we are interested in studying, be they dominant at small or large scales, a plasma can be treated as tractable models in various limits, such as the kinetic theory and magnetohydrodynamic (MHD) theory. Turbulence flows are characterized by the nonlinear transfer of energy and other quantities across a huge range of scales. Observed turbulence in space is expected to involve cross-scale energy transfer and subsequent dissipation and heating. Space plasmas are frequently taken to be weakly collisional or collisionless. Therefore, an explicit form of viscous dissipation as in collisional (e.g., MHD) cases cannot be easily defined. A variety of approaches have attempted to characterize specific mechanisms (e.g., magnetic reconnection, wave-particle interaction and turbulent-driven intermittency) and to quantify the dissipation. However, the community has not come to a consensus solution applicable to all systems. In this talk I will first give an overview of some basic properties for turbulence. Then I will briefly review turbulence theory application in space plasmas. I will discuss in detail how to disentangle multiscale properties, how plasma dynamics bridges multiple scales, what new ingredients are introduced in cross-scale transfer as models progress from fluid to kinetic, and how to identify key steps in energy transfer and estimate energy dissipation rate in weakly collisional plasmas. These also motivate several unresolved issues that may be addressed by future studies. Where feasible, examples are given from MHD, Particle in Cell, and hybrid Vlasov-Maxwell simulations, and from spacecraft observations.

Presenters

  • Yan Yang

    University of Delaware

Authors

  • Yan Yang

    University of Delaware

  • Riddhi Bandyopadhyay

    Princeton University

  • William Henry Matthaeus

    University of Delaware

  • Subash Adhikari

    University of Delaware

  • Francesco Pecora

    University of Delaware

  • Michael A Shay

    University of Delaware

  • Minping Wan

    Southern University of Science and Technology

  • Sean Oughton

    Department of Mathematics, University of Waikato, Hamilton, New Zealand

  • Alexandros Chasapis

    University of Colorado Boulder

  • Tulasi Parashar

    Victoria University of Wellington

  • Sohom Roy

    University of Delaware