Abstract

Torsional Alfvén waves involve the interaction of zonal fluid flow and the ambient magnetic field in the core. Consequently, they perturb the background magnetic field and induce a secondary magnetic field. Using a steady background magnetic field from observationally constrained field models and azimuthal velocities from torsional wave forward models, we solve an induction equation for the wave-induced secular variation (SV). We construct time series and maps of wave-induced SV and investigate how previously identified propagation characteristics manifest in the magnetic signals, and whether our modelled travelling torsional waves are capable of producing signals that resemble jerks in terms of amplitude and timescale. Fast torsional waves with amplitudes and timescales consistent with a recent study of the 6yr ΔLOD signal induce very rapid, small (maximum ∼2nT/yr at Earth’s surface) SV signals that would likely be difficult to be resolve in observations of Earth’s SV. Slow torsional waves with amplitudes and timescales consistent with other studies produce larger SV signals that reach amplitudes of ∼20nT/yr at Earth’s surface. We applied a two-part linear regression jerk detection method to the SV induced by slow torsional waves, using the same parameters as used on real SV, which identified several synthetic jerk events. As the local magnetic field morphology dictates which regions are sensitive to zonal core flow, and not all regions are sensitive at the same time, the modelled waves generally produce synthetic jerks that are observed on regional scales and occur in a single SV component. However, high wave amplitudes during reflection from the stress-free CMB induce large-scale SV signals in all components, which results in a global contemporaneous jerk event such as that observed in 1969. In general, the identified events are periodic due to waves passing beneath locations at fixed intervals and the SV signals are smoothly varying. These smooth signals are more consistent with the geomagnetic jerks envisaged by Demetrescu and Dobrica than the sharp ‘V’ shapes that are typically associated with geomagnetic jerks.

Highlights

  • Satellite and ground-based observations show that temporal fluctuations in the geomagnetic field occur on a wide range of time scales, from daily interactions with the ionosphere to the millions of years between polarity reversals

  • These models were produced by solving the canonical torsional wave equation, which is defined in cylindrical coordinates (s; /; z) as where u/ is the azimuthal velocity, l0 is the permeability of free space, q0 is the reference density, zT is the half height of the geostrophic cylinder and fB2s g is the square of the s-component of the magnetic field averaged over a geostrophic cylinder surface (Braginsky, 1970; Jault and Légaut, 2005; Roberts and Aurnou, 2011)

  • As Bloxham et al (2002) noted in the first paper linking geomagnetic jerks to torsional oscillations, local magnetic field morphology dictates whether a particular location is sensitive to zonal core flow

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Summary

Introduction

Satellite and ground-based observations show that temporal fluctuations in the geomagnetic field occur on a wide range of time scales, from daily interactions with the ionosphere to the millions of years between polarity reversals. The most rapid observed feature of the core-generated magnetic field are geomagnetic jerks These are abrupt jumps in the second time-derivative (secular acceleration, SA) of Earth’s magnetic field, which correspond to sharp changes in the trend of the first time-derivative of the magnetic field (SV) (Courtillot et al, 1978; Mandea et al, 2010). As torsional waves are thought to occur on decadal timescales, and have been associated with 6 year signals in DLOD and SV (Gillet et al, 2010), and with geomagnetic jerks (Bloxham et al, 2002), this work only considers magnetic field models with high spatial and temporal resolution. The COV-OBS family of models, spanning the period 1840–2010, takes a stochastic approach that uses time covariance functions to integrate some prior information on the time evolution of the geomagnetic field

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