526
Views
1
CrossRef citations to date
0
Altmetric
Articles

The inherent instability of axisymmetric magnetostrophic dynamo models

ORCID Icon, ORCID Icon & ORCID Icon
Pages 499-520 | Received 22 Dec 2021, Accepted 14 Nov 2022, Published online: 30 Nov 2022

Figures & data

Figure 1. Surface plot of the normalised instantaneous rate of change of magnetic field over the core volume, IV, as a function of the l = 1, n = 1 and l = 1, n = 2 toroidal coefficients β and γ respectively. The vertical black line corresponds to the coefficient values of the known stable steady solution of Li et al. (Citation2018). The α-effect form (Equation4) is used, with an above critical magnitude of α0=18. (a) and (b) show the same 3D plot viewed from a different angle (Colour online).

Figure 1. Surface plot of the normalised instantaneous rate of change of magnetic field over the core volume, IV, as a function of the l = 1, n = 1 and l = 1, n = 2 toroidal coefficients β and γ respectively. The vertical black line corresponds to the coefficient values of the known stable steady solution of Li et al. (Citation2018). The α-effect form (Equation4(4) α=α072916r8(1−r2)2cos⁡θ,(4) ) is used, with an above critical magnitude of α0=18. (a) and (b) show the same 3D plot viewed from a different angle (Colour online).

Figure 2. The magnetostrophic trajectory of IV as a function of toroidal and poloidal energy (defined as half the squared integral over the unit sphere of the respective components). The initial condition is a single poloidal l = n = 1 mode, which is a simple but unsteady Taylor state. The solution evolves from the magenta data point toward a stable steady state with IV1 and tending to zero. Two magnetic diffusion times of duration are plotted, with circular data points plotted at intervals of 0.001 and blue points denoting when IV>1 and red points when IV<1 (Colour online).

Figure 2. The magnetostrophic trajectory of IV as a function of toroidal and poloidal energy (defined as half the squared integral over the unit sphere of the respective components). The initial condition is a single poloidal l = n = 1 mode, which is a simple but unsteady Taylor state. The solution evolves from the magenta data point toward a stable steady state with IV≪1 and tending to zero. Two magnetic diffusion times of duration are plotted, with circular data points plotted at intervals of 0.001 and blue points denoting when IV>1 and red points when IV<1 (Colour online).

Figure 3. Graphs showing the evolution of (a) IV and (b) deviation in magnetic energy from the stable state within each symmetry (±Bd or ±Bq respectively), for the suite of single poloidal mode initial conditions, which fall into either the dipole or quadrupole symmetry class.

Figure 3. Graphs showing the evolution of (a) IV and (b) deviation in magnetic energy from the stable state within each symmetry (±Bd or ±Bq respectively), for the suite of single poloidal mode initial conditions, which fall into either the dipole or quadrupole symmetry class.

Figure 4. The paths taken from two initial quasi-steady Taylor-state magnetic fields, within (a) dipole symmetry and (b) quadrupole symmetry using the α-effect form (Equation4) with α0=18. The fields diverge from the initial states (magenta points) before finally converging to Bd and Bq respectively. Blue points denote when IV>1 and red points when IV<1. In (b), the trajectory passes through multiple models which are quasi-steady but unstable. In both cases, convergence to the stable model is denoted by the continuous red line (Colour online).

Figure 4. The paths taken from two initial quasi-steady Taylor-state magnetic fields, within (a) dipole symmetry and (b) quadrupole symmetry using the α-effect form (Equation4(4) α=α072916r8(1−r2)2cos⁡θ,(4) ) with α0=18. The fields diverge from the initial states (magenta points) before finally converging to Bd and Bq respectively. Blue points denote when IV>1 and red points when IV<1. In (b), the trajectory passes through multiple models which are quasi-steady but unstable. In both cases, convergence to the stable model is denoted by the continuous red line (Colour online).

Figure 5. The evolution of four different initial conditions with mixed symmetry (black, blue, red, green) shown by (a) Magnetic energy and (b) IV. The α-effect form (Equation4) was used with α0=18 (Colour online).

Figure 5. The evolution of four different initial conditions with mixed symmetry (black, blue, red, green) shown by (a) Magnetic energy and (b) IV. The α-effect form (Equation4(4) α=α072916r8(1−r2)2cos⁡θ,(4) ) was used with α0=18 (Colour online).

Figure 6. Surface plot of IV as a function of the l = 1, n = 1 and l = 1, n = 2 toroidal coefficients β and γ respectively. The vertical black line corresponds to the coefficient values of the known stable steady solution of Li et al. (Citation2018). The α-effect form (Equation4) is used, with an above critical magnitude of α0=16. (a) and (b) show the same 3D plot viewed from a different angle.

Figure 6. Surface plot of IV as a function of the l = 1, n = 1 and l = 1, n = 2 toroidal coefficients β and γ respectively. The vertical black line corresponds to the coefficient values of the known stable steady solution of Li et al. (Citation2018). The α-effect form (Equation4(4) α=α072916r8(1−r2)2cos⁡θ,(4) ) is used, with an above critical magnitude of α0=16. (a) and (b) show the same 3D plot viewed from a different angle.

Figure 7. Normalised instantaneous rate of change of magnetic field within the core, IV, with α0=16, for 60 different random initial conditions of mixed symmetry.

Figure 7. Normalised instantaneous rate of change of magnetic field within the core, IV, with α0=16, for 60 different random initial conditions of mixed symmetry.

Figure 8. Observational geomagnetic field data from GGF100k (Panovska et al. Citation2018) are compared to two illustrative models. (a) Total magnetic field core surface energy over the past 100 ka. (b) The instantaneous rate of change of magnetic field at Earth's surface IS (defined in equation Equation11), the GGF100k model, and the resultant field dynamics after passing the data through a Butterworth filter with a 50,000 yr timescale cutoff (red), are compared to the results from the mixed-symmetry simulations of section 4.3 (blue and green). The offset time of GGF100k is arbitrarily chosen to be 0 (Colour online).

Figure 8. Observational geomagnetic field data from GGF100k (Panovska et al. Citation2018) are compared to two illustrative models. (a) Total magnetic field core surface energy over the past 100 ka. (b) The instantaneous rate of change of magnetic field at Earth's surface IS (defined in equation Equation11(11) IV=∫B˙2dV∫B2dV,andIS=∫B˙2dS∫B2dS,(11) ), the GGF100k model, and the resultant field dynamics after passing the data through a Butterworth filter with a 50,000 yr timescale cutoff (red), are compared to the results from the mixed-symmetry simulations of section 4.3 (blue and green). The offset time of GGF100k is arbitrarily chosen to be 0 (Colour online).