15 citations as recorded by crossref.

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4. trajPredRNN+: A new approach for precipitation nowcasting with weather radar echo images based on deep learning C. Ji & Y. Xu 10.1016/j.heliyon.2024.e36134
5. NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes A. Albu et al. 10.3390/rs14163890
6. Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow J. Ha & H. Lee 10.3390/rs15215169
7. TU2Net-GAN: A temporal precipitation nowcasting model with multiple decoding modules X. Ling et al. 10.1016/j.patrec.2023.12.025
8. Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning D. Han et al. 10.5194/gmd-16-5895-2023
9. Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. 10.1016/j.jhydrol.2024.130871
10. Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness M. Piran et al. 10.1016/j.jag.2024.103962
11. Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach Y. Wang et al. 10.1109/JSTARS.2024.3383397
12. PIXGAN-Drone: 3D Avatar of Human Body Reconstruction From Multi-View 2D Images A. Salim Rasheed et al. 10.1109/ACCESS.2024.3404554
13. An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
14. Rad-cGAN v1.0: Radar-based precipitation nowcasting model with conditional generative adversarial networks for multiple dam domains S. Choi & Y. Kim 10.5194/gmd-15-5967-2022
15. 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