Toward long-range ENSO prediction with an explainable deep learning model

Abstract El Niño-Southern Oscillation (ENSO) is a prominent mode of interannual climate variability with far-reaching global impacts. Its evolution is governed by intricate air-sea interactions, posing significant challenges for long-term prediction. In this study, we introduce CTEFNet, a multivaria...

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Principais autores:	Qi Chen, Yinghao Cui, Guobin Hong, Karumuri Ashok, Yuchun Pu, Xiaogu Zheng, Xuanze Zhang, Wei Zhong, Peng Zhan, Zhonglei Wang
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2025-07-01
叢編:	npj Climate and Atmospheric Science
在線閱讀:	https://doi.org/10.1038/s41612-025-01159-w
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