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Solar cYcle prediCtion tool using sOlar internal oscillations (SYCOS)

Project description

Space weather prediction tool

The Sun affects the overall weather in our solar system through its magnetic fields, radiation and by ejecting particles and matter. As a result, it affects the environmental conditions in the Earth’s upper atmosphere with a direct impact on society. There is an imminent need to develop tools that can reliably predict space weather. Funded by the European Research Council, the SYCOS project is interested in advancing a previously developed tool for predicting space weather. Unlike conventional methods that rely on magnetic fields on the solar surface, the SYCOS approach aims to measure internal solar oscillations as the basis of the predictions.

Objective

Short- and long-term prediction of solar activity and space weather are long-standing problems, affecting the society at a large scale: being able to issue a prediction earlier and more reliably will prevent economic losses for industries, space sector, and governments. 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, tracing the sub-surface magnetic field in the Sun, and here formulated methodologies to build prediction tools based on it both over short and long timescales. Earlier prediction methods have relied on magnetic fields on the solar surface or in the interplanetary space, while now we propose to use the solar internal oscillations as basis of the predictions - hence our ideas are novel and ground-braking. 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. Large innovation potential is also contained in new type of data service to be built: they augment the sustainability and re-usability of generic scientific data products, and enhance the renewal of science.

Keywords

Host institution

AALTO KORKEAKOULUSAATIO SR
Net EU contribution
€ 150 000,00
Address
OTAKAARI 1
02150 Espoo
Finland

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Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)