Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities

TL;DR

This paper provides an overview of solar imaging data challenges and opportunities, highlighting data-driven methods for solar eruption prediction, available resources, and future research directions.

Contribution

It offers a comprehensive summary of current solar eruption forecasting models, data products, and discusses promising statistical and computational research avenues.

Findings

Summarizes state-of-the-art solar eruption forecasting models.

Describes available solar imaging data products and software.

Identifies promising future research directions in statistical modeling.

Abstract

We give a gentle introduction to solar imaging data, focusing on the challenges and opportunities of data-driven approaches for solar eruptions. The various solar phenomenon prediction problems that might benefit from statistical methods are presented. Available data products and software are described. State-of-the-art solar eruption forecasting models with data-driven approaches are summarized and discussed. Based on the characteristics of the datasets and state-of-the-art approaches, we point out several promising directions to explore from statistical modeling and computational perspectives.