-
Simon Mackovjak (Institute of Experimental Physics, Slovak Academy of Sciences)07/04/2026, 14:30In-person oral presentation
In this contribution, we will present two machine learning models that employ measurements from already-operated space instruments analogous to those Vigil will have on board (Majirsky et al., 2025a). The first model predicts the occurrence of geomagnetic storms by combining coronagraph images and in situ solar wind and IMF data (Majirsky et al., 2025b). The second model classifies in situ...
Go to contribution page -
Kalpa Harindra Perera Henadhira Arachchige (Dept. d’Astrophysique/AIM, CEA/IRFU, CNRS/INSU, Université Paris et Paris-Saclay, 91191 Gif-sur-Yvette Cedex, France)07/04/2026, 14:45In-person oral presentation
The properties and the spatial distribution of the large-scale structures of the solar corona determine the observed solar wind structure at 1~au. Coronal holes are a major source of fast solar wind, an important geo-effective component, and appear as large dark patches in extreme ultraviolet images. The solar observatories provide images of the solar corona at different wavelengths, enabling...
Go to contribution page -
Edoardo Legnaro (University of Genova)07/04/2026, 15:00In-person oral presentation
Early identification of flare-productive solar active regions is essential for operational space-weather forecasting. We present an integrated deep-learning framework for automated active-region detection, localization, magnetic classification, and short-term flare forecasting, designed for continuous monitoring and near-real-time deployment.
The system combines three complementary...
Go to contribution page -
Stefaan Poedts (KU Leuven)07/04/2026, 15:15In-person oral presentation
The ESA Virtual Space Weather Modelling Centre (VSWMC) project was defined as a long-term initiative comprising successive parts. Parts 1 and 2 were completed in the first 4-5 years, and a system was designed and developed that enables models and other components to be installed locally or geographically distributed and to be coupled and run remotely from the central system. A first, limited...
Go to contribution page -
Paolo Pagano (Università degli Studi di Palermo)07/04/2026, 15:30In-person oral presentation
S2WARM (St Andrews Space Weather Active Region Monitor) recognises eruptive solar active regions by assimilating magnetogram data into 3D NLFFF simulations and projecting their evolution. It computes first a theoretical and then a specific metrics to issue green, amber, or red alerts, factoring magnetic flux changes and Lorentz force evolution. Tested on a full rotation with 23 cases, S2WARM...
Go to contribution page
Choose timezone
Your profile timezone: