| 2026 | Aich, Michael and Hess, Philipp and Pan, Baoxiang and Bathiany, Sebastian and Huang, Yu and Boers, Niklas: Conditional diffusion models for downscaling and bias correction of Earth system model precipitation. In: Geoscientific Model Development, 19, 2026, 1791--1808 |
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| 2026 | Huang, Yu and Bathiany, Sebastian and Yang, Shangshang and Hess, Philipp and Aich, Michael and Boers, Niklas: Flexible generation of daily Earth system model projections across radiative forcing scenarios. 2026, |
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| 2026 | Franzke, Christian L. E. and Lee, Sun-Seon and Huang, Yu and Satpathy, Susmit S.: Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model. In: Environmental Research Letters, 21, 2026, 014026 |
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| 2026 | Aich, Michael and Bathiany, Sebastian and Hess, Philipp and Huang, Yu and Boers, Niklas: Generating realistic global precipitation fields from modelled atmospheric circulation. In: Climate Dynamics, 64, 2026, 365 |
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| 2026 | Zhang, Wenjie and Huang, Yu and Bathiany, Sebastian and Shin, Yechul and Ben-Yami, Maya and Zhou, Suiping and Boers, Niklas: Probabilistic anticipation of AMOC transitions under critical forcing magnitudes and rates via deep learning. In: Chaos, Solitons \& Fractals, 209, 2026, 118374 |
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| 2025 | Yu, Siyang and Huang, Yu and Fu, Zuntao: Detecting extreme event-driven causality. In: Chaos, Solitons \& Fractals, 200, 2025, 117138 |
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| 2025 | Wang, Mingzhao and Huang, Yu and Franzke, Christian L. E. and Yuan, Naiming and Fu, Zuntao and Boers, Niklas: Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity. In: Nature Communications, 16, 2025, 4742 |
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| 2024 | Huang, Yu and Bathiany, Sebastian and Ashwin, Peter and Boers, Niklas: Deep learning for predicting rate-induced tipping. In: Nature Machine Intelligence, 6, 2024, 1556--1565 |
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| 2024 | Li, Kaiwen and Huang, Yu and Liu, Kai and Wang, Ming and Cai, Fenying and Zhang, Jianxin and Boers, Niklas: Key propagation pathways of extreme precipitation events revealed by climate networks. In: npj Climate and Atmospheric Science, 7, 2024, 165 |
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