ESA Space Weather Service Network Workshop 2026

Session

Machine learning in the ESA Space Weather Service Network

3 Feb 2026, 11:00

ESOC

Description

Machine learning and AI are increasingly used to detect solar and heliospheric features, classify events, and predict solar activity. This session invites contributions demonstrating how such methods can enhance SWESNET products, automate data processing, or improve short- and medium-term forecasts, while ensuring traceability and integration within SWESNET’s operational standards.
(Convenors: Lidia Contarino (INAF), Roberto Susino (INAF))

105. Welcome and Introduction

CONTARINO, Lidia (INAF - Osservatorio Astrofisico di Catania), SUSINO, Roberto (INAF - Astrophysical Observatory of Turin)

03/02/2026, 11:00

106. Evaluating Transformer Models for Solar Flare Forecasting across Data Modalities

RIGGI, Simone (INAF)

03/02/2026, 11:05

107. SunSCC: Segmenting, Grouping and Classifying Sunspots from Ground-Based Observations Using Deep Learning

DELOUILLE, V.

03/02/2026, 11:20

108. Bridging Data and Operational Prediction in Space Weather: Machine-Learning Models, Data Pre-Processing, and Evaluation

BERNOUX, G.

03/02/2026, 11:35

109. Physics-Based Artificial Intelligence for Operational Space Weather Forecasting: The May 2024 Superstorm

GUASTAVINO, Sabrina (Department of Mathematics, University of Genova)

03/02/2026, 11:50

110. AI-Based Prediction and Reconstruction of Solar Surface Magnetic Field Data and Their Applications

JEONG, Hyun-Jin (KU Leuven)

03/02/2026, 12:05

111. General Discussion

03/02/2026, 12:20