Contributions to Geophysics and Geodesy | |
Magnetoconvection in a plane layer rotating about the horizontal axis: The effect of anisotropic diffusivities | |
Jozef BRESTENSKÝ1  Tomáš ŠOLTIS2  | |
[1] Faculty of Mathematics, Physics and Informatics, Comenius University;Geophysical Institute of the Slovak Academy of Sciences; | |
关键词: anisotropic diffusion coefficients, rotating magnetoconvection, horizontal rotation axis, earth’s core, geomagnetic field; | |
DOI : 10.2478/congeo-2013-0017 | |
来源: DOAJ |
【 摘 要 】
A linear stability analysis of convection arising in a horizontal plane layer rotating about the horizontal axis and permeated by a homogeneous horizontal magnetic field perpendicular to the rotation axis is performed. Resulting horizontal convective rolls are inclined to the magnetic field at an angle dependent on the dimensionless numbers − the Elsasser, Ekman and Roberts numbers, and moreover on the anisotropy parameter, the ratio of horizontal and vertical diffusion coefficients (which are the viscosity and thermal diffusivity; magnetic diffusivity is considered isotropic). Two types of anisotropies, SA and BM, are considered and compared with the isotropic case of diffusion coefficients. In the stratification anisotropy, SA, of the Sa and So types, diffusivities in the horizontal directions are, respectively, smaller and greater than the vertical ones. In the BM anisotropy (Braginsky and Meytlis, 1990), the diffusivities in the directions of rotation axis and magnetic field – in the horizontal directions are greater than in vertical direction, thus identically as in So type anisotropy. Results of this H case, the model with the horizontal rotation axis, are compared with the V case of a similar model with the vertical rotation axis. The modes of instabilities are much more sensitive to viscosity and various anisotropies in the H case than in the V case. Results indicate that the effects of anisotropic diffusivities on the Earth’s core magnetoconvection and geodynamo processes should be studied more thoroughly in simpler models than is usually done.
【 授权许可】
Unknown