Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1387-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1387-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
09 Apr 2019
Model description paper |
| 09 Apr 2019
| 09 Apr 2019
Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1)
Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
Maik Heistermann
Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
Tanja Winterrath
Department of Hydrometeorology, Deutscher Wetterdienst, Offenbach, Germany
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- RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting G. Ayzel et al. 10.5194/gmd-13-2631-2020
- STFF-UNet: a spatio-temporal feature fusion UNet model for short-term precipitation forecasting X. Du et al. 10.1007/s12145-025-01882-1
- A spatiotemporal mixed-enhanced generative adversarial network for radar-based precipitation nowcasting L. He et al. 10.1016/j.cageo.2025.105919
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- Weather Radar Echo Extrapolation with Dynamic Weight Loss Y. Zhang et al. 10.3390/rs15123138
- TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting G. Franch et al. 10.1038/s41597-020-0574-8
- Cloud Nowcasting with Structure-Preserving Convolutional Gated Recurrent Units S. Kellerhals et al. 10.3390/atmos13101632
- A two-stage trained hybrid Unet-ConvLSTM2D for enhanced precipitation nowcasting F. Naz et al. 10.1016/j.envsoft.2025.106532
- MPFNet: Multiproduct Fusion Network for Radar Echo Extrapolation Y. Pei et al. 10.1109/TGRS.2024.3496081
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- RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer J. Wan et al. 10.1016/j.ejrh.2025.102703
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Discussed (final revised paper)
Discussed (preprint)
Latest update: 28 Oct 2025
Short summary
How much will it rain within the next hour? To answer this question, we developed rainymotion – an open source Python software library for precipitation nowcasting. In our benchmark experiments, including a state-of-the-art operational model, rainymotion demonstrated its ability to deliver timely and reliable nowcasts for a broad range of rainfall events. This way, rainymotion can serve as a baseline solution in the field of precipitation nowcasting.
How much will it rain within the next hour? To answer this question, we developed rainymotion...
