paper
2020
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2020-01-29
008
Jan 2020
Xinyi Li, Zhong Li, Wendy Huang et al.
Theoretical and Applied Climatology
Compares statistical and machine learning ensembles for daily temperature downscaling; abstract unavailable, so judgment rests on the title.
Downscaling & super-resolution
Performance of statistical and machine learning ensembles for daily temperature downscaling
In one sentence. Compares statistical and machine learning ensembles for daily temperature downscaling; abstract unavailable, so judgment rests on the title.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s00704-020-03098-3 OpenAlex:W3003728117
- Added
- 2026-10-22
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