paper
2019
Sub-seasonal to seasonal
New model or method
CNN / U-NetSeasonal to annualNanjing University of Information Science & Technology (NUIST) Journal
★ Highlight 2019-09-18
078
Sep 2019
Yoo-Geun Ham, Jeong-Hwan Kim, Jing-Jia Luo
Nature
Nanjing University of Information Science & Technology (NUIST)
Deep learning model trained on climate model simulations produces multi-year ENSO forecasts, a landmark result for long-lead ENSO prediction.
1
Sub-seasonal to seasonal★ Highlight
Deep learning for multi-year ENSO forecasts
Why it matters. Landmark Nature paper: CNN trained on climate simulations gives skilful ENSO forecasts up to 18 months ahead, influencing seasonal ML prediction.
In one sentence. Deep learning model trained on climate model simulations produces multi-year ENSO forecasts, a landmark result for long-lead ENSO prediction.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1038/s41586-019-1559-7 OpenAlex:W2973731563
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.