Barata, T. orcid.org/0000-0001-6106-8285, Del Moro, D. orcid.org/0000-0003-2500-5054, Erdélyi, R. et al. (26 more authors) (2026) The space weather awareness training network. Journal of Space Weather and Space Climate, 16. 27. ISSN: 2115-7251
Abstract
Motivation and Aims: The main objectives of this paper are twofold: (1) to present the Space Weather Awareness Training Network (SWATNet), an innovative Marie Skłodowska-Curie Training Network designed to provide high-quality doctoral training in space weather, and (2) to highlight the scientific advances achieved within the project. Methods: By combining cutting-edge research with structured international and intersectoral training, SWATNet reached fundamental advances in understanding space weather phenomena and trained a new generation of scientists equipped to tackle modern challenges in both research and industry. Results: SWATNet delivered advancements in modelling solar eruptions and the solar corona, and improved studies of the propagation and transport of Solar Energetic Particles, often utilising interdisciplinary methods. These include machine and deep learning, image processing, and various numerical modelling approaches. The research produced 26 peer-reviewed journal articles, along with various presentations at international conferences. In addition, SWATNet successfully completed its ambitious training programme on practical observatory and industry training.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © T. Barata et al., Published by EDP Sciences 2026. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Space weather; Solar activity; Corona and heliosphere; Modelling and forecasting; Artificial intelligence and Machine learning and Deep learning |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
| Funding Information: | Funder Grant number SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/M000826/1 EUROPEAN COMMISSION - HORIZON 2020 955620 |
| Date Deposited: | 20 Aug 2026 13:45 |
| Last Modified: | 20 Aug 2026 13:45 |
| Status: | Published |
| Publisher: | EDP Sciences |
| Refereed: | Yes |
| Identification Number: | 10.1051/swsc/2026020 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:244545 |
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