paper
2021
Post-processing & calibration
New model or method
GAN or VAECNN / U-Net6 h–3 daysFudan University (FuXi) Journal
2021-06-11
047
Jun 2021
Youcheng Luo, Xiaoyang Xu, Yiqun Liu et al.
IEEE Intelligent Systems
Fudan University (FuXi)
An ordinal distribution autoencoder corrects ECMWF and SMS-WARMS precipitation forecast bias and outperforms classical ML and deep baselines.
Robust Precipitation Bias Correction Through an Ordinal Distribution Autoencoder
In one sentence. An ordinal distribution autoencoder corrects ECMWF and SMS-WARMS precipitation forecast bias and outperforms classical ML and deep baselines.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Method
- GAN or VAE, CNN / U-Net
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/mis.2021.3088543 OpenAlex:W3171163466
- Added
- 2026-10-22
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