Objective
Space weather can have detrimental, and in some cases catastrophic, effects upon a multitude of technologies on which we depend as part our daily lives. Adverse space weather is now known to result from solar flares and coronal mass ejections released from the turbulent and highly complex magnetic fields of active regions. Understanding how active region magnetic fields evolve and produce these events is therefore of fundamental importance to developing accurate and reliable space-weather monitoring and forecasting capabilities.
We therefore propose to develop an advanced flare prediction system (Flare Likelihood And Region Eruption Forecasting; FLARECAST) that is based on automatically extracted physical properties of active regions coupled with state-of-the-art flare prediction methods and validated using the most appropriate forecast verification measures.
Active region properties, such as area, magnetic flux, shear, magnetic complexity, helicity and proxies for magnetic energy, will be extracted from solar magnetogram and white-light images in near-realtime using advanced image-processing techniques. Once active region properties have been extracted, they will be correlated with solar flare activity and used to optimize prediction algorithms based on statistical, unsupervised clustering and supervised learning methods. This will enable us to validate our image processing and flare prediction algorithms before launching a near-realtime flare forecasting service, the first of its kind in the world.
FLARECAST will therefore form the basis of the first quantitative, physically motivated and autonomous active region monitoring and flare forecasting system, which will be of use to space-weather researchers and forecasters in Europe and around the globe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence machine learning supervised learning
- natural sciences physical sciences astronomy galactic astronomy solar physics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-PROTEC-2014
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
106 79 ATHENS
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.