Abstract

SUMMARY We study predictions of reversals of Earth’s axial magnetic dipole field that are based solely on the dipole’s intensity. The prediction strategy is, roughly, that once the dipole intensity drops below a threshold, then the field will continue to decrease and a reversal (or a major excursion) will occur. We first present a rigorous definition of an intensity threshold-based prediction strategy and then describe a mathematical and numerical framework to investigate its validity and robustness in view of the data being limited. We apply threshold-based predictions to a hierarchy of numerical models, ranging from simple scalar models to 3-D geodynamos. We find that the skill of threshold-based predictions varies across the model hierarchy. The differences in skill can be explained by differences in how reversals occur: if the field decreases towards a reversal slowly (in a sense made precise in this paper), the skill is high, and if the field decreases quickly, the skill is low. Such a property could be used as an additional criterion to identify which models qualify as Earth-like. Applying threshold-based predictions to Virtual Axial Dipole Moment palaeomagnetic reconstructions (PADM2M and Sint-2000) covering the last two million years, reveals a moderate skill of threshold-based predictions for Earth’s dynamo. Besides all of their limitations, threshold-based predictions suggests that no reversal is to be expected within the next 10 kyr. Most importantly, however, we show that considering an intensity threshold for identifying upcoming reversals is intrinsically limited by the dynamic behaviour of Earth’s magnetic field.

Highlights

  • Earth possesses a time-varying magnetic field which is generated and sustained by turbulent flow of liquid metal alloy in the core

  • We analyzed a hierarchy of numerical models, and Earth’s axial dipole field as documented by the PADM2M and Sint-2000 paleomagnetic virtual axial dipole moment (VADM) reconstructions (Ziegler et al 2011; Valet et al 2005)

  • We test the possibility of relying on an intensity threshold-based strategy, whereby once the axial dipole intensity drops below a warning threshold, it is predicted that the intensity will drop further and lead to a low-dipole event within some specified time, called the prediction horizon

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Summary

Introduction

Earth possesses a time-varying magnetic field which is generated and sustained by turbulent flow of liquid metal alloy in the core. Today’s MHD models are realistic representations of Earth’s magnetic field over a large range of spatial and temporal scales (Schaeffer et al 2017; Aubert 2019; Wicht & Sanchez 2019), but the simulation of dipole reversals remains a computational challenge and the number of MHD simulations that exhibit reversals remains limited (Lhuillier et al 2013; Olson et al 2013). Increasing the Ekman number amounts to increasing the kinematic diffusivity of the fluid and thereby the laminar character of the simulated flow This in turn decreases the required resolution and the time-to-solution. Many reversing simulations are characterized by an Ekman number that is much larger than the Ekman number of the Earth’s dynamo

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