September 24–26, 2025
Speinshart Scientific Centre
for AI and SuperTech (SSC)
Organizers: Tijana Janjic, Marcel Oliver, and Nadja Ray
This workshop brings together researchers in machine learning with applications in geophysical sciences and geophysical scientists using machine learning in their work.
Topics include:
| Time | Activity |
|---|---|
| 10:00-12:30 | Arrival and informal discussion |
| 12:30 | Lunch |
| 13:30-14:30 | Welcome and introduction of participants |
| 14:30-15:30 | Thomas Mortier (Ghent University): Valid prediction intervals for weather forecasting with conformal prediction |
| 15:30 | Coffee break |
| 16:00-17:00 | Maryam Ramezani Ziarani (KU Eichstätt-Ingolstadt): Parameter estimation and state prediction in a simplified shallow water model |
| 17:00-18:30 | Discussion: What is needed for successful application of machine learning in geosciences, and what machine learning scientists need for cooperation |
| 19:00 | Dinner |
| Time | Activity |
|---|---|
| until 8:30 | Breakfast |
| 9:00-10:30 | Karoline Rummel (IOW Warnemünde): Real-time estimation of salt intrusion with LSTM networks |
| Jakub Truszkowski (Chalmers University): Inferring the geographical origin of timber from its chemical properties | |
| Catherine George (KU Eichstätt-Ingolstadt): Uncertainty-aware forecasting in idealized atmospheric models | |
| 10:30 | Coffee Break |
| 11:00-12:15 | Katharina Holube (Hamburg University): Energy transfers between normal modes of the primitive equations in the atmosphere: Towards their quantification using data-driven methods |
| Kyriakos-Stavros Malisovas (Hamburg University): Using machine learning to understand the behavior of a data assimilation system | |
| Maxim Kirsebom (Bremen University): Ergodic theory and machine learning for ocean drifter data | |
| Cas Decancq (Ghent University): Evaluation of deep learning weather emulators for forecasting extreme heat events | |
| Sebastian Jimenez (Ghent University): Origin identification for commodities | |
| Joshua Stiller (LMU): Conformal prediction for time-dependent PDEs | |
| 12:30 | Lunch |
| 14:00-15:30 | Discussion Sessions |
| 15:30 | Coffee break |
| 16:00-17:00 | Tobias Heckmann (KU Eichstätt-Ingolstadt): Earth surface landforms, materials and processes: Potential ML applications in geomorphology |
| Toni Himmelstoss (KU Eichstätt-Ingolstadt): Application of graph-based deep learning to the generation and analysis of geomorphological maps | |
| 17:00-18:30 | Short Hike |
| 19:00 | Dinner |
| Time | Activity |
|---|---|
| until 8:30 | Breakfast |
| 8:30-9:00 | Guided tour of the Speinshart Monastery |
| 9:00-10:30 | Sergiy Vasylkevych (Hamburg University): Growth of forecast errors in AIFS from the normal modes analysis perspective |
| Sarah Eberle-Blick (KU Eichstätt-Ingolstadt): Neural networks and the monotonicity method for solving inverse problems: a first approach | |
| Tatsiana Bardachova (KU Eichstätt-Ingolstadt): Towards the assimilation of dual-polarization radar data | |
| Anton Kutsenko (Hamburg University): Using ML for the recovery of energetic spectra from incomplete data, plus possible ocean dynamic predictions | |
| Hao Liang (KU Eichstätt-Ingolstadt): Recovering energy spectra from sparse observations | |
| 10:30 | Coffee Break |
| 11:00-11:20 | Nadja Ray (KU Eichstätt-Ingolstadt): Flow and transport in porous media - accelerating simulations with CNNs |
| 11:20-12:15 | Concluding discussion |
| 12:30 | Lunch |
| 13:30 | Departure |