Constraining Global Coronal Models with Multiple Independent Observables

TL;DR

This paper develops a standardized, model-agnostic framework to evaluate global coronal models using multiple independent observational constraints, revealing trade-offs and improvements among different modeling approaches.

Contribution

It introduces a novel framework for comparing coronal models against diverse observational data, facilitating objective assessment and model improvement.

Findings

Simultaneous optimization of PFSS models to all metrics is currently unfeasible.

WSA and MAS models better address physics by balancing streamer belt and coronal hole representations.

MAS model shows improved coronal hole accuracy compared to WSA.

Abstract

Global coronal models seek to produce an accurate physical representation of the Sun's atmosphere which can be used, for example, to drive space weather models. Assessing their accuracy is a complex task and there are multiple observational pathways to provide constraints and tune model parameters. Here, we combine several such independent constraints, defining a model-agnostic framework for standardized comparison. We require models to predict the distribution of coronal holes at the photosphere, and neutral line topology at the model outer boundary. We compare these predictions to extreme ultraviolet (EUV) observations of coronal hole locations, white-light Carrington maps of the streamer belt and the magnetic sector structure measured \textit{in situ} by Parker Solar Probe and 1AU spacecraft. We study these metrics for Potential Field Source Surface (PFSS) models as a function of source surface height and magnetogram choice, as well as comparing to the more physical Wang-Sheeley-Arge (WSA) and the Magnetohydrodynamics Algorithm outside a Sphere (MAS) models. We find that simultaneous optimization of PFSS models to all three metrics is not currently possible, implying a trade-off between the quality of representation of coronal holes and streamer belt topology. WSA and MAS results show the additional physics they include addresses this by flattening the streamer belt while maintaining coronal hole sizes, with MAS also improving coronal hole representation relative to WSA. We conclude that this framework is highly useful for inter- and intra-model comparisons. Integral to the framework is the standardization of observables required of each model, evaluating different model aspects.