13 citations as recorded by crossref.

1. Synthetic rainfall data generator development through decentralised model training S. Welten et al. https://doi.org/10.1016/j.jhydrol.2022.128210
2. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z. Ma et al. https://doi.org/10.1007/s10462-024-10764-9
3. Performance of multisite streamflow stochastic generation approaches for a multi-reservoir system Y. Ma et al. https://doi.org/10.1007/s00477-024-02672-9
4. Spatially Coherent Postprocessing of Cloud Cover Ensemble Forecasts https://doi.org/10.1175/MWR-D-21-0046.1
5. Geographical Transferability of Pretrained K-Means Clustering–Artificial Neural Network Model for Disaggregation of Rainfall Data in an Indian Monsoon Climate D. Bhattacharyya & U. Saha https://doi.org/10.1061/JHYEFF.HEENG-6058
6. DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas M. Singh et al. https://doi.org/10.1007/s43762-023-00096-9
7. Low-impact development (LID) control feasibility in a small-scale urban catchment for altered climate change scenarios A. Wadhwa et al. https://doi.org/10.1080/02626667.2023.2239797
8. Capturing the extremes: a quasi-comonotonicity-based algorithm for disaggregating daily to hourly rainfall C. Correa et al. https://doi.org/10.5194/hess-30-4457-2026
9. Variations in Present and Future Hourly Extreme Rainfall: Insights from High-Resolution Data and Novel Temporal Disaggregation Model Y. Dai et al. https://doi.org/10.3390/w16233463
10. Precipitation nowcasting with generative diffusion models A. Asperti et al. https://doi.org/10.1007/s10489-024-06048-y
11. Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks S. Singh et al. https://doi.org/10.1017/eds.2026.10039
12. The effect of spatial–temporal characteristics of rainfall on urban inundation processes G. Chen et al. https://doi.org/10.1002/hyp.14655
13. Skillful Precipitation Nowcasting Using Physical‐Driven Diffusion Networks R. Wang et al. https://doi.org/10.1029/2024GL110832