paper
2023
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2023-03-30
016
Mar 2023
Alfonso Hernanz, Carlos Correa, Marta Domínguez et al.
Journal of Applied Meteorology and Climatology
Compares statistical downscaling methods, including XGBoost, for temperature and precipitation in Spain and Central America, finding model output statistics best for temperature.
Downscaling & super-resolution
Statistical Downscaling in the Tropics and Midlatitudes: A Comparative Assessment over Two Representative Regions
In one sentence. Compares statistical downscaling methods, including XGBoost, for temperature and precipitation in Spain and Central America, finding model output statistics best for temperature.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- ERA5 / reanalysis, CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1175/jamc-d-22-0164.1 OpenAlex:W4361272852
- Added
- 2026-10-22
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