Speaker
Description
The theoretical model, excluding meridional flow, magnetic buoyancy, and including the
entire α effect from the base of the convection zone to the surface, indicates that multicycle
correlations occur near the critical dynamo region, while one-cycle correlations are
prevalent in the extremely super-critical dynamo region. These findings align with Kumar
et al. (2021), who suggest that solar-cycle memory is influenced by the dynamo
regime rather than solely by transport mechanisms, a view that contradicts Yeates et al.
(2008). In marginally supercritical regions, minimal non-linearity leads to multi-cycle
correlation, whereas in extremely supercritical regimes, heightened non-linearity and randomness
reduce the correlation. Observational data analysis corroborates these results,
showing multi-cycle correlation in both diffusion and advection-dominated data, which
diminishes with fewer data points.
Contribution Type | Poster |
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Theme | Solar Magnetism over Long-Time Scales |