Joint Bayesian inference of Earth's magnetic field and core surface flow on millennial timescales
Andreas Nilsson, Neil Suttie, Marie Troyano, Nicolas Gillet, Julien Aubert, Anders Irb\"ack

TL;DR
This paper introduces a Bayesian framework for jointly modeling Earth's magnetic field and core surface flow over millennial timescales, effectively handling data uncertainties and avoiding convergence issues in high-dimensional inversions.
Contribution
The authors develop a novel Bayesian modeling approach that directly incorporates archaeomagnetic data and efficiently marginalizes age uncertainties, improving core dynamics reconstructions.
Findings
Method reliably recovers large-scale geomagnetic variations.
Successfully captures core flow features like westward drift.
Demonstrates potential for real data reconstructions.
Abstract
Understanding Earth's core dynamics over millennial timescales requires models that jointly describe the evolution of the geomagnetic field and core surface flow, while accommodating the sparse, irregular, and uncertain nature of archaeomagnetic and palaeomagnetic data. We present a new Bayesian core field and core flow modelling framework that utilises archaeo/palaeomagnetic data directly, combining a reduced stochastic representation of core surface dynamics derived from numerical geodynamo statistics with a probabilistic treatment of observational and chronological uncertainties. A key innovation is an efficient discrete marginalisation of age uncertainties, which avoids the convergence difficulties associated with co-estimating ages in high-dimensional Hamiltonian Monte Carlo inversions. The framework aims to reconstruct the coupled evolution of the geomagnetic field and core…
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