Space Weather Prediction from the Ground: Case of CHAIN

TL;DR

This paper emphasizes the importance of ground-based telescopes for predicting solar eruptive phenomena, proposing a new flare prediction method using H-alpha images and discussing the progress of the international CHAIN observation network.

Contribution

It introduces a novel ground-based flare prediction method utilizing H-alpha images and highlights recent advancements in the CHAIN international observation network.

Findings

Ground-based telescopes can complement satellite data for space weather prediction.

A new flare prediction method using H-alpha, red wings, and blue wings images is proposed.

Progress and outcomes of the CHAIN international observation network are discussed.

Abstract

In this article, we insist on the importance and the challenges of the prediction of solar eruptive phenomena including flares, coronal mass ejections (CME), and filament eruptions fully based on the ground-based telescopes. It is true that satellites' data are indispensable for the space weather prediction, but they are vulnerable to the space weather effects. Therefore, the ground-based telescopes can be complementary to them from the viewpoint of space weather prediction. From this view point, one possible new flare prediction method that makes use of H-alpha, red wings, and blue wings images obtained by the SDDI/SMART, the ground-based telescope at Hida Observatory, is presented. And in order to show the possibility for the actual operation based on that method, the recent progress of CHAIN project, the international observation network, is mentioned in terms of their outcomes and capacity buildings.