paper
2018
Downscaling & super-resolution
New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2018-01-01
008
Jan 2018
Sze Miang Kueh, King Kuok Kuok
Environmental Engineering and Management Journal
Cuckoo search-trained feedforward and recurrent networks downscale GCM output to project long-term precipitation, forecasting a 6–7% rise by 2071–2100.
Downscaling & super-resolution
FORECASTING LONG TERM PRECIPITATION USING CUCKOO SEARCH OPTIMIZATION NEURAL NETWORK MODELS
In one sentence. Cuckoo search-trained feedforward and recurrent networks downscale GCM output to project long-term precipitation, forecasting a 6–7% rise by 2071–2100.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Local / station
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.30638/eemj.2018.127 OpenAlex:W2835358689
- Added
- 2026-10-22
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