数值天气预报的未来是人工智能与数学物理模型的融合?

李双林; 张仲石; 王惠

doi:10.3799/dqkx.2022.865

Volume 47 Issue 10

Oct. 2022

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Li Shuanglin, Zhang Zhongshi, Wang Hui, 2022. Will the Future of Numerical Weather Prediction be a Fusion of Artificial Intelligence and Mathematical and Physical Modeling？. Earth Science, 47(10): 3919-3921. doi: 10.3799/dqkx.2022.865

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Li Shuanglin, Zhang Zhongshi, Wang Hui, 2022. Will the Future of Numerical Weather Prediction be a Fusion of Artificial Intelligence and Mathematical and Physical Modeling？. Earth Science, 47(10): 3919-3921. doi: 10.3799/dqkx.2022.865

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Will the Future of Numerical Weather Prediction be a Fusion of Artificial Intelligence and Mathematical and Physical Modeling？

doi: 10.3799/dqkx.2022.865

Li Shuanglin^{1, 2
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Zhang Zhongshi^{2, 3},
Wang Hui²

Publish Date: 2022-10-25

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References

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Reichstein, M., Camps-Valls, G., Stevens, B., et al., 2019. Deep Learning and Process Understanding for Data-Driven Earth System Science. Nature, 566(7743): 195-204. https://doi.org/10.1038/s41586-019-0912-1

Schultz, M.G., Betancourt, C., Gong, B., et al., 2021. Can Deep Learning Beat Numerical Weather Prediction? Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 379(2194): 20200097. https://doi.org/10.1098/rsta.2020.0097

Xia, J.J., Li, H.C., Kang, Y.Y., et al., 2020. Machine Learning-Based Weather Support for the 2022 Winter Olympics. Advances in Atmospheric Sciences, 37(9): 927-932. https://doi.org/10.1007/s00376-020-0043-5

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