Articles | Volume 16, issue 8
https://doi.org/10.5194/gmd-16-2167-2023
https://doi.org/10.5194/gmd-16-2167-2023
Methods for assessment of models
 | 
20 Apr 2023
Methods for assessment of models |  | 20 Apr 2023

Forecasting tropical cyclone tracks in the northwestern Pacific based on a deep-learning model

Liang Wang, Bingcheng Wan, Shaohui Zhou, Haofei Sun, and Zhiqiu Gao

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Cited articles

Alemany, S., Beltran, J., Perez, A., and Ganzfried, S.: Predicting Hurricane Trajectories Using a Recurrent Neural Network, in: Proceedings of the AAAI Conference on Artificial Intelligence, 2–7 February 2018, Lousiana, USA, 33, 468–475, https://doi.org/10.1609/aaai.v33i01.3301468, 2018. 
Ali, M. M., Kishtawal, C. M., and Jain, S.: Predicting cyclone tracks in the north Indian Ocean: An artificial neural network approach, Geophys. Res. Lett., 34, 545–559, https://doi.org/10.1029/2006gl028353, 2007. 
Bathla, G.: Stock Price prediction using LSTM and SVR, 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC), 6–8 November 2020, Himachal Pradesh, India, 211–214, https://doi.org/10.1109/PDGC50313.2020.9315800, 2020. 
Boussioux, L., Zeng, C., Guenais, T., and Bertsimas, D.: Hurricane Forecasting: A Novel Multimodal Machine Learning Framework, Weather Forecast., 37, 817–831, https://doi.org/10.1175/WAF-D-21-0091.1, 2022. 
Brand, S., Buenafe, C. A., and Hamilton, H. D.: Comparison of Tropical Cyclone Motion and Environmental Steering, Mon. Weather Rev., 109, 908–909, https://doi.org/10.1175/1520-0493(1981)109<0908:cotcma>2.0.co;2, 1981. 
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Short summary
The past 24 h TC trajectories and meteorological field data were used to forecast TC tracks in the northwestern Pacific from hours 6–72 based on GRU_CNN, which we proposed in this paper and which has better prediction results than traditional single deep-learning methods. The historical steering flow of cyclones has a significant effect on improving the accuracy of short-term forecasting, while, in long-term forecasting, the SST and geopotential height will have a particular impact.
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