paper
2022
Downscaling & super-resolution
New model or method
CNN / U-NetClimate projections / centennialETH Zurich Journal
2022-12-27
022
Dec 2022
Marijn van der Meer, Sophie de Roda Husman, Stef Lhermitte
Journal of Advances in Modeling Earth Systems
ETH Zurich
Deep learning emulator downscales a global climate model to regional Antarctic surface mass balance; the imperfect-model training framework outperforms the perfect-model one.
Downscaling & super-resolution
Deep Learning Regional Climate Model Emulators: a comparison of two downscaling training frameworks
In one sentence. Deep learning emulator downscales a global climate model to regional Antarctic surface mass balance; the imperfect-model training framework outperforms the perfect-model one.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.22541/essoar.167214210.02213149/v1 OpenAlex:W4312202294
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.