paper
2020
Post-processing & calibration
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Other
2020-12-30
008
Dec 2020
고철민, 정영윤, 지용근 et al.
preprint
XGBoost with probability matching post-processes LENS and Dong-Nae forecasts, improving Korean heavy-rainfall QPF skill (Korean-language version).
집중호우 시기 기계학습 및 PM기법을 이용한 수문학적 강우보정에 관한 연구
In one sentence. XGBoost with probability matching post-processes LENS and Dong-Nae forecasts, improving Korean heavy-rainfall QPF skill (Korean-language version).
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Radar, NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3157438366
- Added
- 2026-10-22
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