paper
2023
Sub-seasonal to seasonal
New model or method
CNN / U-NetSeasonal to annualNanjing University of Information Science & Technology (NUIST)Institute of Atmospheric Physics, Chinese Academy of Sciences Journal
2023-07-15
022
Jul 2023
Tingyu Wang, Ping Huang
Advances in Atmospheric Sciences
Nanjing University of Information Science & Technology (NUIST), Institute of Atmospheric Physics, Chinese Academy of Sciences
A convolutional neural network is reported to outperform dynamical models in predicting Central Pacific ENSO events.
Superiority of a Convolutional Neural Network Model over Dynamical Models in Predicting Central Pacific ENSO
In one sentence. A convolutional neural network is reported to outperform dynamical models in predicting Central Pacific ENSO events.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-023-3001-1 OpenAlex:W4384408321
- Added
- 2026-10-22
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