31 citations as recorded by crossref.

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11. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
12. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z. Ma et al. 10.1007/s10462-024-10764-9
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23. Medium-term forecasting of global horizontal solar radiation in Brazil using machine learning-based methods A. Weyll et al. 10.1016/j.energy.2024.131549
24. A review of future weather data for assessing climate change impacts on buildings and energy systems Z. Zeng et al. 10.1016/j.rser.2024.115213
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29. Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches J. González‐Abad et al. 10.1029/2023MS003641
30. Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability Y. Yu et al. 10.1016/j.uclim.2024.102003
31. Adjusting spatial dependence of climate model outputs with cycle-consistent adversarial networks B. François et al. 10.1007/s00382-021-05869-8