The Space Weather Awareness Training Network

Motivation and Aims: The main objectives of this paper are twofold: (1) to present the Space Weather Awareness Training Network (SWATNet), an innovative Marie Sk{\l}odowska-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 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 a total of 26 articles in peer-reviewed journals, along with various presentations at international conferences. In addition, SWATNet successfully completed its ambitious training programme on practical observatory and industry training.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-06-17
DOI
https://doi.org/10.1051/swsc/2026020/pdf
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

The Space Weather Awareness Training Network

Simone Chierichini, R. Vanio, Slava Bourgeois, D. Del Moro et al.
Springer Link (Chiba Institute of Technology)
Ionosphere and magnetosphere dynamics
article

The Space Weather Awareness Training Network

Simone Chierichini, R. Vanio, Slava Bourgeois, D. Del Moro, Orlando Oliveira, Grégoire Francisco, Teresa Barata, Edin Husidic, Ronish Mugatwala, R. Erdélyi, A. Nindos, L. Annie John, A. Boiko, M.K. Georgoulis, K. Petrovay, Marianna Korsos, Shreeyesh Biswal, Ricardo Gafeira, Shiffana Koya, Guilherme Nogueira, João Fernandes, S. Poedts, A. Afanasiev, Andreas Wagner, S. Patsourakos, Emilia Kilpua, K. Murawski, Mayank Kumar, Augustin ANDRÉ-HOFFMANN
article en

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 Sk{\l}odowska-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 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 a total of 26 articles in peer-reviewed journals, along with various presentations at international conferences. In addition, SWATNet successfully completed its ambitious training programme on practical observatory and industry training.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Ionosphere and magnetosphere dynamics
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