paper
2018
Downscaling & super-resolution
New model or method
OtherClimate projections / centennial Journal
2018-12-02
008
Dec 2018
Chi‐Yu Li, Shiu‐Shin Lin, Chia-Min Chuang et al.
Water and Environment Journal
A bootstrapped RBF neural network downscales three GCMs to project Taiwan station rainfall for 2050–2090 with quantified uncertainty.
Downscaling & super-resolution
Assessing future rainfall uncertainties of climate change in Taiwan with a bootstrapped neural network‐based downscaling model
In one sentence. A bootstrapped RBF neural network downscales three GCMs to project Taiwan station rainfall for 2050–2090 with quantified uncertainty.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- Other
- Time scale
- Climate projections / centennial
- Domain
- Local / station
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1111/wej.12443 OpenAlex:W2902354098
- Added
- 2026-10-22
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