paper
2023
Post-processing & calibration
Sub-seasonal to seasonal New model or method
OtherSeasonal to annualInstitute of Atmospheric Physics, Chinese Academy of Sciences Journal
2023-05-17
022
May 2023
Ziying Yang, Jiping Liu, Chao‐Yuan Yang et al.
Journal of Atmospheric and Oceanic Technology
Institute of Atmospheric Physics, Chinese Academy of Sciences
Ensemble neural networks correct nonstationary sea surface temperature bias in NCEP CFSv2 seasonal forecasts, reducing RMSE by 0.35 °C, with a deeper network giving further gains.
Correcting Nonstationary Sea Surface Temperature Bias in NCEP CFSv2 Using Ensemble-Based Neural Networks
In one sentence. Ensemble neural networks correct nonstationary sea surface temperature bias in NCEP CFSv2 seasonal forecasts, reducing RMSE by 0.35 °C, with a deeper network giving further gains.
Labels
- Topic
- Post-processing & calibration, Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Other
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/jtech-d-22-0066.1 OpenAlex:W4376867375
- Added
- 2026-10-22
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