Bidirectional Transformer-based precipitation nowcasting model

Pan Long
Wu Xi
School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China

Abstract

Accurate precipitation nowcasting is crucial for daily life, but the current forecasting models need further improvement in terms of accuracy. An innovative forecasting model called BTPN proposes to address this. The model introduces bidirectional transformers to extract features from both the forward and backward directions of spatiotemporal sequences, capturing key information and reducing spatiotemporal feature loss. It combines the convolutional transformer block with the local encoding of convolution and the global encoding of transformer to enhance spatiotemporal information extraction and correlation, alleviating the problem of long-term spatiotemporal information loss. The model also incorporates a detail extraction module to reduce the loss of local details and mitigate the issue of dissipation in high-value areas. Evaluation on the HKO-7 dataset shows that the BTPN model surpasses other advanced models in terms of MAE, SSIM, and CSI metrics, demonstrating excellent predictive capability in large-scale precipitation and extreme weather scenarios. The experiments demonstrate that the BTPN model possesses higher forecasting accuracy and promising applications.

Foundation Support

国家自然科学基金资助项目(42075142)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0613
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-03-07] Accepted Paper

Cite This Article

潘龙, 吴锡. 基于双向Transformer的降水临近预报模型 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0613. (Pan Long, Wu Xi. Bidirectional Transformer-based precipitation nowcasting model [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0613. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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