Abstract

Context.Results from helioseismology indicate that the radial gradient of the rotation rate in the near-surface shear layer (NSSL) of the Sun is independent of latitude and radius. Theoretical models using the mean-field approach have been successful in explaining this property of the NSSL, while global direct or large-eddy magnetoconvection models have so far been unable to reproduce this.Aims.We investigate the reason for this discrepancy by measuring the mean flows, Reynolds stress, and turbulent transport coefficients under conditions mimicking those in the solar NSSL.Methods.Simulations with as few ingredients as possible to generate mean flows were studied. These ingredients are inhomogeneity due to boundaries, anisotropic turbulence, and rotation. The parameters of the simulations were chosen such that they matched the weakly rotationally constrained NSSL. The simulations probe locally Cartesian patches of the star at a given depth and latitude. The depth of the patch was varied by changing the rotation rate such that the resulting Coriolis numbers covered the same range as in the NSSL. We measured the turbulent transport coefficient relevant for the nondiffusive (Λ-effect) and diffusive (turbulent viscosity) parts of the Reynolds stress and compared them with predictions of current mean-field theories.Results.A negative radial gradient of the mean flow is generated only at the equator where meridional flows are absent. At other latitudes, the meridional flow is comparable to the mean flow corresponding to differential rotation. We also find that the meridional components of the Reynolds stress cannot be ignored. Additionally, we find that the turbulent viscosity is quenched by rotation by about 50% from the surface to the bottom of the NSSL.Conclusions.Our local simulations do not validate the explanation for the generation of the NSSL from mean-field theory where meridional flows and stresses are neglected. However, the rotational dependence of the turbulent viscosity in our simulations agrees well with theoretical predictions. Moreover, our results agree qualitatively with global convection simulations in that an NSSL can only be obtained near the equator.

Highlights

  • The convection zone (CZ) of the Sun, despite being highly turbulent, shows a well–organized large–scale axisymmetric rotation profile depending on both depth and latitude

  • Helioseismic results indicate that the radial gradient of the rotation rate in the near–surface shear layer (NSSL) of the Sun is independent of latitude and radius

  • We investigate the reason for this discrepancy by measuring the mean flows, Reynolds stress, and turbulent transport coefficients under conditions mimicking those in the solar NSSL

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Summary

Introduction

The convection zone (CZ) of the Sun, despite being highly turbulent, shows a well–organized large–scale axisymmetric rotation profile depending on both depth and latitude. They concluded that the meridional where Ω is the rotation rate of the star and τ is the turnover time Reynolds stress, originating from the radial gradient of the poleof the turbulence, has been found to be a key parameter It de- ward meridional flow, is the most important driver of the NSSL. We formulate a model with minimal ingredients for the generation of large–scale flows to study the role of rotation–induced Reynolds stress in a rotational regime relevant for the NSSL. This involves replacing convection with anisotropically forced turbulence and omitting density stratification, magnetic fields, and spherical geometry. ∂ ln r which shows a reasonable agreement with observational results where the radial rotational gradient is independent of latitude (Barekat et al 2014)

The NSSL in terms of mean–field hydrodynamics
The model
Simulation setup
Velocity field
Anisotropy of the flow
Mean flows
Reynolds stresses
The role of Reynolds stresses in the generation of the mean flows
Parameterization of Reynolds stresses in terms of mean–field hydrodynamics
Properties of the diffusive and non–diffusive parts of Reynolds stresses
Measuring turbulent viscosity
Measurements of the vertical Λ–effect coefficient
Measurements of the horizontal Λ–effect coefficient
Conclusions
Full Text
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