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Atmos. Oceanic Sci. Lett.
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A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions
Lu Zhou, Chuan Gao, Rong-Hua Zhang
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Accepted:
25 January 2023
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Lu Zhou
Chuan Gao
Rong-Hua Zhang
Cite this article:
Lu Zhou, Chuan Gao, Rong-Hua Zhang, 2023: A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions .
Atmos. Oceanic Sci. Lett.
,
16
(4), 100330-, doi: .
URL:
http://aosl.iapjournals.ac.cn/EN/
OR
http://aosl.iapjournals.ac.cn/EN/Y2023/V16/I4/100330
[1]
Jian Song, Ning Shi, Qilei Huang.
Precursory atmospheric teleconnection patterns for strong Siberian High events
[J]. Atmos. Oceanic Sci. Lett., 2023, 16(5): 100376-.
