Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 13
Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 13
Development and technical paper
 | 
15 Jul 2022
Development and technical paper |  | 15 Jul 2022

RAP-Net: Region Attention Predictive Network for precipitation nowcasting

Zheng Zhang, Chuyao Luo, Shanshan Feng, Rui Ye, Yunming Ye, and Xutao Li

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Latest update: 23 Nov 2024
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Short summary
In this paper, we develop a model to predict radar echo sequences and apply it in the precipitation nowcasting field. Different from existing models, we propose two new attention modules. By introducing them, the performance of RAP-Net outperforms other models, especially in those regions with moderate and heavy rainfall. Considering that these regions cause more threats to human activities, the research in our work is significant for preventing natural disasters caused by heavy rainfall.
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