paper
2021
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2021-07-18
012
Jul 2021
Matias Ezequiel Olmo, María Laura Bettolli
International Journal of Climatology
Compares analogue, neural network and GLM statistical downscaling of daily precipitation extremes over southeastern South America; no single method performs best across all aspects.
Downscaling & super-resolution
Statistical downscaling of daily precipitation over southeastern South America: Assessing the performance in extreme events
In one sentence. Compares analogue, neural network and GLM statistical downscaling of daily precipitation extremes over southeastern South America; no single method performs best across all aspects.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.1002/joc.7303 OpenAlex:W3183806273
- Added
- 2026-10-22
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