Optimization of surface flux transport models for the solar polar magnetic field
K. Petrovay, M. Talafha

TL;DR
This study systematically explores parameter choices in surface flux transport models to accurately simulate the Sun's polar magnetic field, emphasizing the importance of decay terms and optimal parameter ranges for predictive reliability.
Contribution
It provides a comprehensive parameter space analysis for SFT models, identifying conditions that best reproduce observed polar magnetic field evolution across multiple solar cycles.
Findings
Decay term with tau 5-10 years is essential for accurate modeling.
Higher magnetic diffusivity values (500-800 km^2/s) are generally preferred.
Models without decay terms fail to match observed cycle timing.
Abstract
The choice of free parameters in surface flux transport (SFT) models describing the evolution of the large-scale poloidal magnetic field of the Sun is critical for the correct reproduction of the polar magnetic flux built up during a solar cycle, which in turn is known to be a good predictor of the amplitude of the upcoming cycle. For an informed choice of parameters it is important to understand the effect and interplay of the various parameters and to optimize the models for the polar magnetic field. Here we present the results of a large-scale systematic study of the parameter space in an SFT model where the source term representing the net effect of tilted flux emergence was chosen to represent a typical, average solar cycle as described by observations. Comparing the results with observational constraints on the spatiotemporal variation of the polar magnetic field, as seen in…
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