Global dynamo models from direct numerical simulations and their mean-field counterparts
M. Schrinner

TL;DR
This paper demonstrates that mean-field dynamo models, derived from direct numerical simulations using the test-field method, can effectively describe chaotically time-dependent dynamos in rotating spherical shells, with improved accuracy over stationary models.
Contribution
It shows how mean-field models can accurately represent chaotic dynamo behavior in low Rossby number regimes, extending previous work on stationary dynamos.
Findings
Mean-field coefficients accurately parameterize electromotive force in fast rotating dynamos.
Chaotic time-dependence improves scale separation and model agreement.
Mean-field models match direct simulations better for time-dependent dynamos.
Abstract
Context. The recently developed test-field method permits to compute dynamo coefficients from global, direct numerical simulations. The subsequent use of these parameters in mean-field models enables us to compare self-consistent dynamo models with their mean-field counterparts. So far, this has been done for a simulation of rotating magnetoconvection and a simple benchmark dynamo, which are both (quasi-)stationary. Aims. It is shown that chaotically time-dependent dynamos in a low Rossby number regime may be appropriately described by corresponding mean-field results. Also, it is pointed out under which conditions mean-field models do not match direct numerical simulations. Methods. We solve the equations of magnetohydrodynamics (MHD) in a rotating, spherical shell in the Boussinesq approximation. Based on this, we compute mean-field coefficients for several models with the help of the…
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