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- Title:
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks
- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Lyu, Pumeng; Tang, Tao; Ling, Fenghua; Luo, Jing-Jia; Boers, Niklas; Ouyang, Wanli; Bai, Lei
- Journal title:
- Advances in Atmospheric Sciences
- Year:
- 2024
- Journal volume:
- 41
- Journal issue:
- 7
- Pages contribution:
- 1289-1298
- Fulltext / DOI:
- doi:10.1007/s00376-024-3316-6
- Publisher:
- Springer Science and Business Media LLC
- E-ISSN:
- 0256-15301861-9533
- Date of publication:
- 22.06.2024
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