2018
DOI: 10.1002/2018gl077061
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A Probabilistic Assessment of the Next Geomagnetic Reversal

Abstract: Deterministic forecasts for the next geomagnetic reversal are not feasible due to large uncertainties in the present‐day state of the Earth's core. A more practical approach relies on probabilistic assessments using paleomagnetic observations to characterize the amplitude of fluctuations in the geomagnetic dipole. We use paleomagnetic observations for the past 2 Myr to construct a stochastic model for the axial dipole field and apply well‐established methods to evaluate the probability of the next geomagnetic … Show more

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Cited by 12 publications
(17 citation statements)
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“…The model predicts that the dipole moment could vanish over the next 20 kyr with a 2% probability. A remarkably similar prediction was obtained by different means using a solution of the backward Fokker-Planck equation (Buffett & Davis, 2018). We establish these results by first showing how a stochastic model can be used to characterize the variability in the dipole trend as a function of window length.…”
Section: Introductionsupporting
confidence: 76%
See 1 more Smart Citation
“…The model predicts that the dipole moment could vanish over the next 20 kyr with a 2% probability. A remarkably similar prediction was obtained by different means using a solution of the backward Fokker-Planck equation (Buffett & Davis, 2018). We establish these results by first showing how a stochastic model can be used to characterize the variability in the dipole trend as a function of window length.…”
Section: Introductionsupporting
confidence: 76%
“…A remarkably similar prediction was made using a solution of the backward Fokker‐Planck equation (Buffett & Davis, ). This agreement may be surprising at first glance because the solution in has the form of a purely diffusive process with no dependence on the drift term (e.g., Shcherbakov & Fabian, ).…”
Section: Implications For the Next Polarity Reversalmentioning
confidence: 60%
“…Representative variations in D, however, have a small influence on the statistical properties of solutions of the SDE (Eq. 1); see Buffett and Matsui (2015). The function v is called the "drift" and is derived from a double-well potential, U (x) = −v(x).…”
Section: Description Of the Modelmentioning
confidence: 99%
“…This assumption is reasonable when describing the dipole field on the Myr timescale, but is not valid on a shorter timescale of thousands of years. Buffett and Matsui (2015) derived an extension of the B13 model to extend it to timescales of thousands of years by adding a time-correlated noise process. An extension of B13 to represent changes in reversal rates over the past 150 Myr is considered by Morzfeld et al (2018).…”
Section: Introductionmentioning
confidence: 99%
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