Huang et al. (2026) A Dual-Branch Typhoon-Gated Axial Transformer for Accurate Tropical Cyclone Path Forecasting

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Atmosphere
• Year: 2026
• Date: 2026-03-27
• Authors: Xiaoyang Huang, Kenan Fan, Xiaolin Zhu, Wei Lv
• DOI: 10.3390/atmos17040339

Research Groups

Not specified in the abstract.

Short Summary

This paper proposes a dual-path, multi-modal deep learning model, incorporating a gated axial Transformer, to enhance typhoon track prediction accuracy by improving the fusion of meteorological features and modeling of spatio-temporal evolution. The model demonstrates superior prediction accuracy across multiple time scales compared to existing methods.

Objective

• To develop a more accurate and efficient deep learning model for typhoon track prediction that addresses challenges in meteorological feature fusion, spatio-temporal evolution modeling, and computational cost.

Study Configuration

• Spatial Scale: Meteorological environment relevant to typhoon tracks.
• Temporal Scale: Multiple time scales for typhoon track prediction.

Methodology and Data

• Models used: Dual-path, multi-modal typhoon track prediction model with a gated axial Transformer.
• Data sources: Not explicitly detailed, but involves meteorological features.

Main Results

• The proposed dual-path, multi-modal model achieved higher prediction accuracy than comparative methods in typhoon track prediction tasks.
• The model demonstrated effectiveness across multiple time scales.

Contributions

• Introduction of a novel dual-path, multi-modal deep learning model for typhoon track prediction.
• Integration of a gated axial Transformer to enhance the modeling of deep structural features in the meteorological environment.
• Improved prediction accuracy in typhoon track forecasting by addressing challenges in meteorological feature fusion and spatio-temporal evolution modeling.

Funding

Not specified in the abstract.

Citation

@article{Huang2026DualBranch,
  author = {Huang, Xiaoyang and Fan, Kenan and Zhu, Xiaolin and Lv, Wei},
  title = {A Dual-Branch Typhoon-Gated Axial Transformer for Accurate Tropical Cyclone Path Forecasting},
  journal = {Atmosphere},
  year = {2026},
  doi = {10.3390/atmos17040339},
  url = {https://doi.org/10.3390/atmos17040339}
}