paper
2023
Downscaling & super-resolution
Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Other
2023-01-24
008
Jan 2023
Frank Arthur, Daniel Boateng, Michael Baidu et al.
preprint
Machine learning empirical statistical downscaling projects 21st-century rainfall change in Ghana under emission scenarios; the abstract is minimal.
Downscaling & super-resolution
Prediction of rainfall response to the 21st-century climate change in Ghana using machine learning empirical statistical downscaling
In one sentence. Machine learning empirical statistical downscaling projects 21st-century rainfall change in Ghana under emission scenarios; the abstract is minimal.
Labels
- Topic
- Downscaling & super-resolution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.22541/essoar.167458059.91056213/v1 OpenAlex:W4317894222
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.