16 citations as recorded by crossref.

1. Prediction of severe thunderstorm events with ensemble deep learning and radar data S. Guastavino et al. 10.1038/s41598-022-23306-6
2. Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning D. Han et al. 10.1080/15481603.2023.2203363
3. Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches J. Ha & J. Park 10.3389/feart.2023.1301523
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. Enhancing Alaskan wildfire prediction and carbon flux estimation: a two-stage deep learning approach within a process-based model H. Seo & Y. Kim 10.1088/1748-9326/ad8bdc
9. 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
10. Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. 10.1016/j.jhydrol.2024.130871
11. Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness M. Piran et al. 10.1016/j.jag.2024.103962
12. Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach Y. Wang et al. 10.1109/JSTARS.2024.3383397
13. PIXGAN-Drone: 3D Avatar of Human Body Reconstruction From Multi-View 2D Images A. Salim Rasheed et al. 10.1109/ACCESS.2024.3404554
14. 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
15. 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
16. 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