paper
2019
Post-processing & calibration
Downscaling & super-resolution New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2019-01-25
012
Jan 2019
Sanaz Moghim, Rafael L. Bras
International Journal of Climatology
Regression-based regionalization trains an ANN on a few pixels per region to bias-correct CCSM temperature and precipitation over northern South America.
Regression‐based regionalization for bias correction of temperature and precipitation
In one sentence. Regression-based regionalization trains an ANN on a few pixels per region to bias-correct CCSM temperature and precipitation over northern South America.
Labels
- Topic
- Post-processing & calibration, Downscaling & super-resolution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1002/joc.6020 OpenAlex:W2911554820
- Added
- 2026-10-22
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