Simulations prove two stable states of opposite polarity in an Earth-like dipole magnetic field
National Institutes of Natural SciencesPeer-Reviewed Publication
As is well known, the Earth behaves like a “giant magnet” (that is, it possesses a dipole magnetic field*1), and this magnetic field is thought to be generated by a dynamo process*2 driven by thermal convection of liquid iron in the Earth’s outer core. Paleomagnetism studies have shown that the Earth’s magnetic field reverses its polarity at irregular intervals, ranging from several hundred thousand to about ten million years. However, the physical mechanism responsible for these reversals remains unresolved. In particular, it is still not well understood how the polarity of the magnetic field - northward or southward - is determined.
Focusing on this polarity-determination mechanism, a research team at the National Institute for Fusion Science (NIFS) and the Graduate University for Advanced Studies, SOKENDAI, carried out a detailed study of a convective dynamo arising in a spherical-shell plasma having the same geometry as the Earth’s outer core, using three-dimensional magnetohydrodynamic simulations*3. As a result, they showed for the first time that, in an Earth-like dynamo, the polarity of the magnetic field (northward or southward) is determined randomly, not by the direction of convection, but by extremely weak magnetic perturbations present initially. Moreover, depending on subtle differences in the imposed magnetic perturbations, the system settles into either a northward - or southward- polarity state and remains there (bi-stability of the dipole polarity). Thus, the polarity of the Earth’s magnetic field may likewise have been determined by tiny fluctuations present when the geodynamo first emerged some four billion years ago. That polarity would then be expected to persist, yet in reality the geomagnetic field undergoes repeated reversals. This suggests that geomagnetic reversals may be caused by physical effects not included in the present computational model.
- Journal
- Scientific Reports