2025
- V. Sarandrea: Master Thesis LMU Munich – Explainable Quantum Machine Learning for cloud cover parametrization
- L. Pastori et al.: Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models, https://doi.org/10.48550/arXiv.2502.10131
- M. Schwabe et al.: Opportunities and challenges of quantum computing for climate modelling, Environmental Data Science 4, e35 (2025). https://doi.org/10.1017/eds.2025.10010
- P. Bonnet et al: Tuning the ICON-A 2.6. 4 climate model with machine-learning-based emulators and history matching, Geoscientific Model Development 18 (12), 3681-3706. https://doi.org/10.5194/gmd-18-3681-2025
- E. Sarauer et al.: A physics-informed machine learning parameterization for cloud microphysics in ICON. Environmental Data Science 4, e40 (2025). https://doi.org/10.1017/eds.2025.10016
(see News for annoucements of preprints)
Poster at the DLR Quantum Computing Austauschforum 5/2023 (Language: German)
