Modelling variability of solar activity cycles
L. L. Kitchatinov, A. V. Mordvinov, A. A. Nepomnyashchikh

TL;DR
This study models solar activity cycle variability using a flux-transport dynamo with stochastic fluctuations, revealing how fluctuation timing and phase influence cycle amplitude, asymmetry, and energy, and constraining fluctuation timescales.
Contribution
It introduces a flux-transport model with Babcock-Leighton type fluctuations to analyze how stochastic parameters affect solar cycle amplitudes and asymmetries, providing insights into cycle variability.
Findings
Fluctuation timescales are close to the solar rotation period.
Cycle asymmetry favors shorter rise times due to fluctuations.
Superflares of ≥10^{34} erg are unlikely on the Sun.
Abstract
Context. Solar activity cycles vary in amplitude and duration. The variations can be at least partly explained by fluctuations in dynamo parameters. Aims. We want to restrict uncertainty in fluctuating dynamo parameters and find out which properties of the fluctuations control the amplitudes of the magnetic field and energy in variable dynamo cycles. Methods. A flux-transport model for the solar dynamo with fluctuations of the Babcock-Leighton type -effect was applied to generate statistics of magnetic cycles for our purposes. The statistics were compared with data on solar cycle periods to restrict the correlation time of dynamo fluctuations. Results. A characteristic time of fluctuations in the -effect is estimated to be close to the solar rotation period. The fluctuations produce asymmetry between the times of rise and descent of dynamo cycles, the rise time being on…
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