paper
2021
Post-processing & calibration
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)3–15 days Journal
2021-10-04
012
Oct 2021
Yuhang Zhang, Aizhong Ye
Journal of Hydrometeorology
A comparison of 21 machine-learning post-processors for GEFS precipitation reforecasts up to 8 days finds extra-trees regression performs best in the Yalong basin.
Machine learning for precipitation forecasts post-processing — Multi-model comparison and experimental investigation
In one sentence. A comparison of 21 machine-learning post-processors for GEFS precipitation reforecasts up to 8 days finds extra-trees regression performs best in the Yalong basin.
Labels
- Topic
- Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/jhm-d-21-0096.1 OpenAlex:W3203335272
- Added
- 2026-10-22
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