paper
2021
Downscaling & super-resolution
Climate emulation New model or method
CNN / U-NetGAN or VAEEnvironment and Climate Change Canada (ECCC) Journal
2021-09-21
022
Sep 2021
Yuankai Wu, Bernardo Teufel, Laxmi Sushama et al.
Geophysical Research Letters
Environment and Climate Change Canada (ECCC)
Adversarial sub-pixel CNN super-resolves 2.5 km regional climate simulations of Montreal to 250 m, improving urban temperature errors and heat-stress indicators.
Downscaling & super-resolution
Deep Learning‐Based Super‐Resolution Climate Simulator‐Emulator Framework for Urban Heat Studies
In one sentence. Adversarial sub-pixel CNN super-resolves 2.5 km regional climate simulations of Montreal to 250 m, improving urban temperature errors and heat-stress indicators.
Labels
- Topic
- Downscaling & super-resolution, Climate emulation
- Type
- New model or method
- Method
- CNN / U-Net, GAN or VAE
- Domain
- Local / station
- Data
- km-scale or high-res simulation
- Status
- Research
- Identifiers
- DOI:10.1029/2021gl094737 OpenAlex:W3201655326
- Added
- 2026-10-22
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