paper
2026
Sub-seasonal to seasonal
New model or method
OtherSeasonal to annualChina Meteorological Administration (CMA)Max Planck Institute for MeteorologyNanjing University of Information Science & Technology (NUIST) Preprint
2026-03-31
022
Mar 2026
Yu Weng, Xiefei Zhi, Jingyu Wang et al.
Research Square
China Meteorological Administration (CMA), Max Planck Institute for Meteorology, Nanjing University of Information Science & Technology (NUIST)
A deep learning approach using stage-consistent ocean dynamics claims to extend ENSO prediction beyond 18 months; the abstract is missing, so details are unverified.
Extending ENSO Prediction beyond 18 Months through Stage-consistent Ocean Internal Dynamics Based on Deep Learning
In one sentence. A deep learning approach using stage-consistent ocean dynamics claims to extend ENSO prediction beyond 18 months; the abstract is missing, so details are unverified.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Other
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.21203/rs.3.rs-9268042/v1 OpenAlex:W7143976925
- Added
- 2026-10-22
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