Combined dynamical-deep learning ENSO forecasts
Abstract Improving the prediction skill of El Niño-Southern Oscillation (ENSO) is of critical importance for society. Over the past half-century, significant improvements have been made in ENSO prediction. Recent studies have shown that deep learning (DL) models can substantially improve the predict...
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| Main Authors: | Yipeng Chen, Yishuai Jin, Zhengyu Liu, Xingchen Shen, Xianyao Chen, Xiaopei Lin, Rong-Hua Zhang, Jing-Jia Luo, Wenjun Zhang, Wansuo Duan, Fei Zheng, Michael J. McPhaden, Lu Zhou |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-59173-8 |
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