Articles | Volume 26, issue 3
https://doi.org/10.5194/npg-26-123-2019
https://doi.org/10.5194/npg-26-123-2019
Research article
 | 
08 Jul 2019
Research article |  | 08 Jul 2019

A comprehensive model for the kyr and Myr timescales of Earth's axial magnetic dipole field

Matthias Morzfeld and Bruce A. Buffett

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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Ionosphere, magnetosphere, planetary science, solar science
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Cited articles

Asch, M., Bocquet, M., and Nodet, M.: Data assimilation: methods, algorithms and applications, SIAM, Philadelphia, 2017. a
Bärenzung, J., Holschneider, M., Wicht, J., Sanchez, S., and Lesur, V.: Modeling and Predicting the Short-Term Evolution of the Geomagnetic Field, J. Geophys. Res.-Sol. Ea., 123, 4539–4560, https://doi.org/10.1029/2017JB015115, 2018. a
Buffett, B.: Dipole fluctuations and the duration of geomagnetic polarity transitions, Geophys. Res. Lett., 42, 7444–7451, 2015. a
Buffett, B. and Davis, W.: A Probabilistic Assessment of the Next Geomagnetic Reversal, Geophys. Res. Lett., 45, 1845–1850, https://doi.org/10.1002/2018GL077061, 2018. a
Buffett, B. and Matsui, H.: A power spectrum for the geomagnetic dipole moment, Earth Planet. Sc. Lett., 411, 20–26, 2015. a, b, c, d
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Short summary
We discuss how to calibrate simplified models of the geomagnetic dipole field to geomagnetic observations collected over the past 2 Myr over two different timescales.