Space Weather and Heliophysics Modelling Workshop

Session

Magnetosphere-Thermosphere-Plasmasphere

8 Apr 2026, 11:45

ESOC Press Centre

7. THERION Retrieve Thermospheric parameters at mid and equatorial latitudes

Loredana Perrone (Istituto Nazionale di Geofisica e Vulcanologia)

08/04/2026, 11:45

In-person oral presentation

Monitoring the thermospheric state is a highly relevant problem due to its impact on ionospheric dynamics and satellite drag. A novel approach based on routine ionosonde observations, originally developed for mid-latitudes (Perrone and Mikhailov, 2018), has proven effective in retrieving a self-consistent set of key aeronomic parameters and is now widely used in our analyses.
The method,...

27. Physics–Informed Machine Learning Modeling of Plasmaspheric Cold Electron Density

Sadaf Shahsavani (GFZ Helmholtz Centre for Geosciences)

08/04/2026, 12:00

In-person oral presentation

Abstract
Machine learning (ML) methods are increasingly utilized in space weather research; however, their performance is often limited by sparse observations during extreme events and a lack of physical constraints. Physics-based models, on the other hand, rely on empirical parameterizations and simplifying assumptions that can limit their
performance. Bridging these two approaches offers a...

19. Mapping the Magnetosphere with Generative AI

Stefano Markidis (KTH Royal Institute of Technology)

08/04/2026, 12:15

In-person oral presentation

Spacecraft do not sample Earth’s magnetosphere uniformly. Measurements cluster along orbital tracks and mission-targeted regions, making it hard to build global maps of plasma environments directly from data. In this talk, I will describe a fully data-driven approach for constructing a magnetospheric atlas from a decade of NASA Magnetospheric Multiscale (MMS) observations. We first compress...

37. Perspective for Magnetospheric Modelling with Multi-Moment Fluid Codes

Simon Lautenbach (Ruhr University Bochum)

08/04/2026, 12:30

In-person oral presentation

Operational space weather forecasting requires magnetospheric models that balance physical accuracy with computational feasibility. Magnetohydrodynamic (MHD) simulations are affordable in terms of computational cost but miss critical kinetic effects, while hybrid/kinetic models provide accuracy at prohibitive costs.
We intend to pursue a novel approach based on the existing muphy2 framework....