paper
2018
Downscaling & super-resolution
Post-processing & calibration New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2018-09-03
008
Sep 2018
Reza Hosseini, Saeed Golian, Jafar Yazdi
Journal of Water and Climate Change
Compares ANN, K-nearest-neighbour and ANFIS for downscaling GCM precipitation at a Latyan basin station; KNN performed best monthly.
Downscaling & super-resolution
Evaluation of data-driven models to downscale rainfall parameters from global climate models outputs: the case study of Latyan watershed
In one sentence. Compares ANN, K-nearest-neighbour and ANFIS for downscaling GCM precipitation at a Latyan basin station; KNN performed best monthly.
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, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.2166/wcc.2018.191 OpenAlex:W2894796079
- Added
- 2026-10-22
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