paper
2021
Sub-seasonal to seasonal
New model or method
Transformer / ViTSeasonal to annual2 weeks–2 months Journal
2021-08-03
016
Aug 2021
Feng Ye, Jie Hu, Tianqiang Huang et al.
IEEE Geoscience and Remote Sensing Letters
An ENSO Transformer (ENSOTR) predicts the Niño3.4 index skillfully up to 18 months ahead and outperforms CNN baselines, including the 1997–98 El Niño.
Transformer for EI Niño-Southern Oscillation Prediction
In one sentence. An ENSO Transformer (ENSOTR) predicts the Niño3.4 index skillfully up to 18 months ahead and outperforms CNN baselines, including the 1997–98 El Niño.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Transformer / ViT
- Time scale
- Seasonal to annual, 2 weeks–2 months
- Domain
- Global
- Data
- CMIP / climate model output, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2021.3100485 OpenAlex:W3192029423
- Added
- 2026-10-22
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