paper
2021
Downscaling & super-resolution
New model or method
GAN or VAECNN / U-NetClimate projections / centennialChina Meteorological Administration (CMA) Journal
2021-03-23
018
Mar 2021
Jianxin Cheng, Jin Liu, Qiuming Kuang et al.
IEEE Geoscience and Remote Sensing Letters
China Meteorological Administration (CMA)
DeepDT trains a GAN with separate generator and discriminator steps to reduce artifacts in CNN-based climate downscaling, outperforming most CNN baselines.
Downscaling & super-resolution
DeepDT: Generative Adversarial Network for High-Resolution Climate Prediction
In one sentence. DeepDT trains a GAN with separate generator and discriminator steps to reduce artifacts in CNN-based climate downscaling, outperforming most CNN baselines.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- GAN or VAE, CNN / U-Net
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2020.3041760 OpenAlex:W3138469499
- Added
- 2026-10-22
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