paper
2022
Downscaling & super-resolution
New model or method
CNN / U-NetClimate projections / centennialOak Ridge National Laboratory Journal
2022-02-04
026
Feb 2022
Linsey Sara Passarella, Salil Mahajan, Anikesh Pal et al.
Geophysical Research Letters
Oak Ridge National Laboratory
FSRCNN-ESM super-resolves coarse Earth system model output from 1° to 0.25° over North America, outperforming other super-resolution methods on temperature, fluxes and precipitation.
Downscaling & super-resolution
Reconstructing High Resolution ESM Data Through a Novel Fast Super Resolution Convolutional Neural Network (FSRCNN)
In one sentence. FSRCNN-ESM super-resolves coarse Earth system model output from 1° to 0.25° over North America, outperforming other super-resolution methods on temperature, fluxes and precipitation.
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:10.1029/2021gl097571 OpenAlex:W4210619949
- Added
- 2026-10-22
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