paper
2018
Downscaling & super-resolution
Post-processing & calibration New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2018-03-20
008
Mar 2018
Aida Hosseini Baghanam, Vahid Nourani, Mohammad-Ali Keynejad et al.
Hydrology research
Wavelet-entropy and SOM predictor selection with ANN downscales multi-GCM station rainfall, projecting a 21–29% rainfall decrease for 2017–2050.
Downscaling & super-resolution
Conjunction of wavelet-entropy and SOM clustering for multi-GCM statistical downscaling
In one sentence. Wavelet-entropy and SOM predictor selection with ANN downscales multi-GCM station rainfall, projecting a 21–29% rainfall decrease for 2017–2050.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- 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, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.2166/nh.2018.169 OpenAlex:W2789274210
- Added
- 2026-10-22
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