
To provide insights on the paleosecular variation of the geomagnetic field and the mechanism of reversals, long time series of the dipolar magnetic moment are generated by two different stochastic models, known as the domino model and the inhomogeneous Lebovitz disk dynamo model, with initial values taken from the from paleomagnetic data. The former model considers mutual interactions of N macrospins embedded in a uniformly rotating medium, where random forcing and dissipation act on each macrospin. With an appropriate set of the model’s parameters values, the series generated by this model have similar statistical behaviour to the time series of the SHA.DIF.14K model. The latter model is an extension of the classical two-disk Rikitake model, considering N dynamo elements with appropriate interactions between them.We varied the parameters set of both models aiming at generating suitable time series with behaviour similar to the long time series of recent secular variation (SV). Such series are then extended to the near future, obtaining reversals in both cases of models. The analysis of the time series generated by simulating the models show that the reversals appears after a persistent period of low intensity geomagnetic field, as it is occurring in the present times.
domino model, Dipolar magnetic Field, Science, Q, dipolar magnetic field, disk dynamo, geomagnetic reversal, Geomagnetic reversal, Earth Science, paleomagnetic data, Stochastic Model, Paleomagnetic data, stochastic model
domino model, Dipolar magnetic Field, Science, Q, dipolar magnetic field, disk dynamo, geomagnetic reversal, Geomagnetic reversal, Earth Science, paleomagnetic data, Stochastic Model, Paleomagnetic data, stochastic model
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