paper
2022
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2022-05-22
012
May 2022
Rocío Balmaceda-Huarte, María Laura Bettolli
International Journal of Climatology
Compares analog, GLM and neural network statistical downscaling of daily Tx and Tn at 101 Argentine stations across three reanalyses, including a warm-period extrapolation test.
Downscaling & super-resolution
Assessing statistical downscaling in Argentina: Daily maximum and minimum temperatures
In one sentence. Compares analog, GLM and neural network statistical downscaling of daily Tx and Tn at 101 Argentine stations across three reanalyses, including a warm-period extrapolation test.
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
- ERA5 / reanalysis, NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1002/joc.7733 OpenAlex:W4281251876
- Added
- 2026-10-22
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