Solar cYcle prediCtion tool using sOlar internal oscillations (SYCOS)

Introduction

Short- and long-term prediction of solar activity and space weather are long-standing problems, affecting society on a large scale. Being able to issue a prediction earlier and more reliably will prevent economic losses for industries, the space sector, and governments.

Project Overview

During our ongoing ERC CoG project UniSDyn, we have numerically and observationally demonstrated the potential of a novel data product: the internal surface gravity oscillation mode. This mode traces the sub-surface magnetic field in the Sun.

Methodologies

We have formulated methodologies to build prediction tools based on the internal surface gravity oscillation mode, both over short and long timescales.

Comparison with Previous Methods

Earlier prediction methods have relied on:

1. Magnetic fields on the solar surface
2. Magnetic fields in the interplanetary space

In contrast, we propose to use the solar internal oscillations as the basis of the predictions, making our ideas novel and groundbreaking.

Innovation Potential

The innovation potential is augmented by the demonstrated capacity of the team to perform the demanding data analysis of the required data products for the proof-of-concept tools.

New Data Services

Large innovation potential is also contained in a new type of data service to be built. These services will:

• Augment the sustainability and reusability of generic scientific data products
• Enhance the renewal of science