paper
2021
Downscaling & super-resolution
Applications & impacts Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)OtherClimate projections / centennial Journal
2021-07-19
012
Jul 2021
Kanawut Chattrairat, Waranyu Wongseree, Adisorn Leelasantitham
Journal of Web Engineering
Compares linear regression, Gaussian process, SVM and deep learning for statistical downscaling of Thai temperature and precipitation, with deep learning performing best.
Downscaling & super-resolution
Comparisons of Machine Learning Methods of Statistical Downscaling Method: Case Studies of Daily Climate Anomalies in Thailand
In one sentence. Compares linear regression, Gaussian process, SVM and deep learning for statistical downscaling of Thai temperature and precipitation, with deep learning performing best.
Labels
- Topic
- Downscaling & super-resolution, Applications & impacts
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels), Other
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.13052/jwe1540-9589.2057 OpenAlex:W3183438132
- Added
- 2026-10-22
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