paper
2021
Downscaling & super-resolution
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2021-01-01
008
Jan 2021
Mohammad Reza Poodineh
Időjárás
Compares artificial neural networks with SDSM for downscaling diurnal temperature in western Iran; ANN gives lower errors at mountain stations.
Downscaling & super-resolution
Downscaling diurnal temperature over west and southwest Iran : A comparison of statistical downscaling approaches
In one sentence. Compares artificial neural networks with SDSM for downscaling diurnal temperature in western Iran; ANN gives lower errors at mountain stations.
Labels
- Topic
- Downscaling & super-resolution
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...), CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.28974/idojaras.2021.3.8 OpenAlex:W3199424483
- Added
- 2026-10-22
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