HAMLET-PHYSICS 2026 Conference

Session

Plenary: Climate, Earth, Environment, Sensing

21 Aug 2026, 13:35

Margrethe Bohr Salen (Niels Bohr Building)

4. Deterministic Collapse and Stochastic Recovery in a Data-Driven Model of the Atlantic Meridional Overturning Circulation

Qi-fan Wu

21/08/2026, 13:35

Plenary

During the last ice-age, temperatures in Greenland have frequently increased and decreased by 10$^{\circ}$C. Detailed studies with climate models suggest that this is caused by collapses and recoveries of the Atlantic Meridional Overturning Circulation (AMOC). The causes of these AMOC transitions are still debated. Here we describe the development of a neural-network based surrogate model of...

24. Transferability and application of climate emulators to produce Antarctic ice sheet surface mass balance

Clément Cherblanc (Niels Bohr Institute + Danish Meteorological Institute)

21/08/2026, 13:55

Plenary

Regional Climate Models (RCMs) bring significant added value compared to using global earth system models directly for modelling the Surface Mass Balance of the Antarctic Ice Sheet. However the high computational cost of RCMs limits their application across both the CMIP ensemble and in running different pathways. An alternative is the use of deep learning based climate emulators to expand the...

10. Interpretable Target-Aware Deep Learning: Linking Weather Patterns to Precipitation

Mr Jonathan Ortved Melcher (University of Copenhagen, Niels Bohr Institute, Physics of Ice Climate and Earth)

21/08/2026, 14:15

Plenary

Classical dimensionality reduction has served physics well. PCA is fast, transparent, and cleanly ranks structures by explained variance, which is why it remains the default first look for almost any high-dimensional dataset. But its strengths come from assumptions the underlying physics rarely respects, the modes must be linear and mutually orthogonal, forcing genuinely distinct physical...

19. Photonic imaging, sensing, and detection assisted by AI

Dominik Vašinka (Palacký University Olomouc)

21/08/2026, 14:35

Plenary

Light carries rich physical information, but each detected photon can be costly in optical power, sample dose, or acquisition time. Modern photonic sensing, quantum technologies, and nanoscale imaging therefore require not only high sensitivity, but also maximal information efficiency. This talk reviews recent results from our group on AI-assisted photonic sensing and quantum detection, with...