Modeling the Solar Cycle: What the Future Holds

TL;DR

This paper reviews the current understanding of the solar cycle, emphasizing the role of dynamo models in explaining its origin, variation, and evolution, and discusses future directions involving data assimilation and advanced modeling techniques.

Contribution

It provides a comprehensive overview of observational and theoretical approaches to modeling the solar cycle and highlights the importance of integrating different modeling strategies for future progress.

Findings

Dynamo models help explain the solar cycle's origin and variation.

Observational data are crucial for constraining models.

Future modeling will benefit from data assimilation and MHD simulations.

Abstract

Stellar magnetic fields are produced by a magnetohydrodynamic dynamo mechanism working in their interior -- which relies on the interaction between plasma flows and magnetic fields. The Sun, being a well-observed star, offers an unique opportunity to test theoretical ideas and models of stellar magnetic field generation. Solar magnetic fields produce sunspots, whose number increases and decreases with a 11 year periodicity -- giving rise to what is known as the solar cycle. Dynamo models of the solar cycle seek to understand its origin, variation and evolution with time. In this review, I summarize observations of the solar cycle and describe theoretical ideas and dynamo modeling efforts to address its origin. I end with a discussion on the future of solar cycle modeling -- emphasizing the importance of a close synergy between observational data assimilation, kinematic dynamo models and full magnetohydrodynamic models of the solar interior.