paper
2026
Downscaling & super-resolution
Post-processing & calibration New model or method
GAN or VAESeasonal to annualFudan University (FuXi) Journal
2026-01-14
047
Jan 2026
Shijin Yuan, Xin Feng, Bin Mu et al.
Quarterly Journal of the Royal Meteorological Society
Fudan University (FuXi)
DecGAN, a GAN for bias correction and downscaling of CESM output, cuts 12-month Pacific SST error by 77.5% and Asian precipitation error by 18.8%.
Downscaling & super-resolution
DecGAN : A bias correction and downscaling deep‐learning model for numerical predictions with applications to sea surface temperature in the Pacific and precipitation in Asia
In one sentence. DecGAN, a GAN for bias correction and downscaling of CESM output, cuts 12-month Pacific SST error by 77.5% and Asian precipitation error by 18.8%.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- New model or method
- Method
- GAN or VAE
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- CMIP / climate model output, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1002/qj.70094 OpenAlex:W7123835085
- Added
- 2026-10-22
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