paper
2021
Post-processing & calibration
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2021-12-30
008
Dec 2021
Han-Su Lee, Yongkeun Jee, Youngmi Lee et al.
Journal of Environmental Science International
Machine learning refines hydrological quantitative precipitation forecasts for rainfall impact prediction; the abstract is missing, so the scope is inferred from the title.
Optimizing Hydrological Quantitative Precipitation Forecast (HQPF) based on Machine Learning for Rainfall Impact Forecasting
In one sentence. Machine learning refines hydrological quantitative precipitation forecasts for rainfall impact prediction; the abstract is missing, so the scope is inferred from the title.
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
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.5322/jesi.2021.30.12.1053 OpenAlex:W4205968882
- Added
- 2026-10-22
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