2002
DOI: 10.1086/341188
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Coronal Heating Distribution Due to Low‐Frequency, Wave‐driven Turbulence

Abstract: The heating of the lower solar corona is examined using numerical simulations and theoretical models of magnetohydrodynamic turbulence in open magnetic regions. A turbulent energy cascade to small length scales perpendicular to the mean magnetic field can be sustained by driving with low-frequency Alfvén waves reflected from mean density and magnetic field gradients. This mechanism deposits energy efficiently in the lower corona, and we show that the spatial distribution of the heating is determined by the mea… Show more

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Cited by 178 publications
(190 citation statements)
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“…In essence, a turbulent evolution requires (1) a few large-scale, coherent, currentcarrying magnetic structures, (2) ideal (non-dissipative) fragmentation of the free magnetic energy within an inertial range of length scales, and (3) a critical length scale below which magnetic resistivity sets in and releases part of the fragmented free energy. All of the above requirements are satisfied in modeled active regions and are supported by observations of actual solar active regions: the vector potential and the photospheric flows are organized in a few large-scale structures, while the electric current density and hence the magnetic free energy are distributed within numerous small-scale structures with linear sizes extending down to our present observational limit (e.g., Einaudi et al, 1996;Georgoulis, Velli, and Einaudi 1998;Chae 2001;Dmitruk et al, 2002). The first and the second process are known as an inverse and a direct cascade, respectively.…”
Section: Introductionsupporting
confidence: 72%
“…In essence, a turbulent evolution requires (1) a few large-scale, coherent, currentcarrying magnetic structures, (2) ideal (non-dissipative) fragmentation of the free magnetic energy within an inertial range of length scales, and (3) a critical length scale below which magnetic resistivity sets in and releases part of the fragmented free energy. All of the above requirements are satisfied in modeled active regions and are supported by observations of actual solar active regions: the vector potential and the photospheric flows are organized in a few large-scale structures, while the electric current density and hence the magnetic free energy are distributed within numerous small-scale structures with linear sizes extending down to our present observational limit (e.g., Einaudi et al, 1996;Georgoulis, Velli, and Einaudi 1998;Chae 2001;Dmitruk et al, 2002). The first and the second process are known as an inverse and a direct cascade, respectively.…”
Section: Introductionsupporting
confidence: 72%
“…(2) Understand Which Heating Mechanisms Dominate as a Function of Distance from the Sun Numerous models to describe the heating and acceleration mechanisms of the Hollweg (2008), Cranmer (2000), Hollweg and Isenberg (2002), Isenberg (2001a), Galinsky and Shevchenko (2000), Marsch and Tu (2001), Kasper et al (2008 b Matthaeus et al (1999), Dmitruk et al (2002), Cranmer et al (2007), Chandran et al (2009) c Bruner (1978), Ulmschneider (1985) d Parker (1979Parker ( , 1987, Sturrock (1999), Priest et al (2002), Axford and McKenzie (1992), Cargill and Klimchuk (2004), Schrijver et al (1997), Zurbuchen et al (2002) e Scudder (1994), Pierrard and Lamy (2003) solar corona and wind have been advanced with varying degrees of success, but none is universally accepted and possibly many are valid in some subset of plasma conditions. With the correct measurements SPP can determine the relative contribution of these mechanisms in the solar wind and understand which are most important.…”
Section: Heating the Corona And Solar Windmentioning
confidence: 99%
“…[5] We employ a Reduced MHD model of wave-driven turbulence that we have previously applied to study coronal heating in an open magnetic region [Dmitruk et al, 2002;Dmitruk and Matthaeus, 2003]. The description is not a full 3D model, but represents anisotropic transverse fluctuating velocity and magnetic fields v, b, having weaker spatial variation in the s direction than in the perpendicular directions, r s ( r ?…”
Section: Modelmentioning
confidence: 99%