paper
2022
Downscaling & super-resolution
Regional & km-scale models New model or method
GAN or VAE Journal
2022-10-01
016
Oct 2022
Ophélia Miralles, Daniel Steinfeld, Olivia Martius et al.
Artificial Intelligence for the Earth Systems
GAN with gradient-penalized Wasserstein loss downscales ERA5 hourly winds over Switzerland from 25 km to 1.1 km, capturing orographic effects missed by ERA5.
Downscaling & super-resolution
Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks
In one sentence. GAN with gradient-penalized Wasserstein loss downscales ERA5 hourly winds over Switzerland from 25 km to 1.1 km, capturing orographic effects missed by ERA5.
Labels
- Topic
- Downscaling & super-resolution, Regional & km-scale models
- Type
- New model or method
- Method
- GAN or VAE
- Domain
- Regional
- Data
- ERA5 / reanalysis, km-scale or high-res simulation
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0018.1 OpenAlex:W4302424651
- Added
- 2026-10-22
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