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Improving supercooled liquid water representation in LIMA using ICICLE data
Mareva July‐Wormit, Benoît Vié and Christine Lac Quarterly Journal of the Royal Meteorological Society 152(774) (2026) https://doi.org/10.1002/qj.70030
Surface Ice Detection Using Hyperspectral Imaging and Machine Learning
Climatological hazard indicators for a robust and integrated energy infrastructure in Austria
Philipp Maier, Lukas Liebmann, Kristofer Hasel, Romana Berg, Fabian Lehner, Marianne Bügelmayer-Blaschek, Herbert Formayer and Demet Suna Scientific Data 12(1) (2025) https://doi.org/10.1038/s41597-025-06121-2
Vibration-based ice monitoring of composite blades using artificial neural networks under different icing conditions
Icing Detection of Wind Turbine Blades Based on an Improved PP-YOLOE Detection Network
Zhangzhuo Sun, Jiangbo Qian, Ao Liu, Shangyun Yao, Xinzhu Lv and Liwei Shao Sensors 25(20) 6438 (2025) https://doi.org/10.3390/s25206438
Improving supercooled liquid water representation in the microphysical scheme ICE3
Rémi Dupont, Claire Taymans and Benoît Vié Quarterly Journal of the Royal Meteorological Society 150(764) 4086 (2024) https://doi.org/10.1002/qj.4806
Numerical analysis of the effect of ice-metal interface stress singularity on bonding failure
Keyu Sun, Chengxin Wang, Lingqi Zeng, Pengchao Li, Lingsheng Han, Haibo Liu and Yongqing Wang The Journal of Adhesion 100(9) 813 (2024) https://doi.org/10.1080/00218464.2023.2264190
A Review of Wind Turbine Icing and Anti/De-Icing Technologies
Investigation of icing causes on wind turbine rotor blades using machine learning models, minimalistic input data and a full-factorial design
Markus Kreutz, Abderrahim Ait Alla, Kamaloddin Varasteh, Michael Lütjen, Michael Freitag and Klaus-Dieter Thoben Procedia Manufacturing 52 168 (2020) https://doi.org/10.1016/j.promfg.2020.11.030