A Gaussian Model for Simulated Geomagnetic Field Reversals
Johannes Wicht, Domenico Meduri

TL;DR
This paper introduces a Gaussian model based on long dynamo simulations to analyze geomagnetic field reversals, revealing that reversals and excursions share similar internal triggers and properties, with implications for understanding Earth's magnetic history.
Contribution
The study provides a statistical analysis of geomagnetic reversals using a Gaussian model derived from extensive dynamo simulations, highlighting the internal fluctuations responsible for reversals and excursions.
Findings
Reversals occur when dipole moment drops to about 30% of its mean.
Reversals and excursions are triggered by large axial dipole fluctuations.
Simulations show a second type of reversal with different decay and recovery dynamics.
Abstract
Field reversals are the most spectacular changes in the geomagnetic field but remain little understood. Paleomagnetic data primarily constrain the reversal rate and provide few additional clues. Reversals and excursions are characterized by a low in dipole moment that can last for some 10kyr. Some paleomagnetic records also suggest that the field decreases much slower before an reversals than it recovers afterwards and that the recovery phase may show an overshoot in field intensity. Here we study the dipole moment variations in several extremely long dynamo simulation to statistically explored the reversal and excursion properties. The numerical reversals are characterized by a switch from a high axial dipole moment state to a low axial dipole moment state. When analysing the respective transitions we find that decay and growth have very similar time scales and that there is no…
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Taxonomy
TopicsGeomagnetism and Paleomagnetism Studies · Solar and Space Plasma Dynamics · Magnetic and Electromagnetic Effects
