Exploring the Physical Basis of Solar Cycle Predictions: Flux Transport Dynamics and Persistence of Memory in Advection versus Diffusion Dominated Solar Convection Zones
A. R. Yeates (1), D. Nandy (2), D. H. Mackay (1) ((1) University of St, Andrews, (2) Montana State University)

TL;DR
This study compares flux transport regimes in solar dynamo models, revealing that advection and diffusion dominance affect cycle memory and amplitude-period relationships, impacting predictability of solar cycles.
Contribution
It provides a detailed analysis of how diffusive versus advective flux transport regimes influence solar cycle predictability and memory, supported by dynamo simulations.
Findings
Memory persists for up to three cycles in advection-dominated regimes.
Memory persists for mainly one cycle in diffusion-dominated regimes.
Observed amplitude-period relationship aligns more with diffusion-dominated models.
Abstract
The predictability, or lack thereof, of the solar cycle is governed by numerous separate physical processes that act in unison in the interior of the Sun. Magnetic flux transport and the finite time delay it introduces, specifically in the so-called Babcock-Leighton models of the solar cycle with spatially segregated source regions for the alpha and omega effects, play a crucial rule in this predictability. Through dynamo simulations with such a model, we study the physical basis of solar cycle predictions by examining two contrasting regimes, one dominated by diffusive magnetic flux transport in the solar convection zone, the other dominated by advective flux transport by meridional circulation. Our analysis shows that diffusion plays an important role in flux transport, even when the solar cycle period is governed by the meridional flow speed. We further examine the persistence of…
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