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.
@article{arxiv.2405.12331,
title = {Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities},
author = {Yang Chen and Ward Manchester and Meng Jin and Alexei Pevtsov},
journal= {arXiv preprint arXiv:2405.12331},
year = {2024}
}