paper
2018
Nowcasting
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels)0–6 hKorea Meteorological Administration (KMA) Journal
2018-11-29
028
Nov 2018
Seung‐Hyun Moon, Yong-Hyuk Kim, Yong Hee Lee et al.
Journal of Hydrology
Korea Meteorological Administration (KMA)
Applies machine learning to an early warning system for very short-term heavy rainfall; abstract unavailable, classification based on title only.
Application of machine learning to an early warning system for very short-term heavy rainfall
In one sentence. Applies machine learning to an early warning system for very short-term heavy rainfall; abstract unavailable, classification based on title only.
Labels
- Topic
- Nowcasting, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.jhydrol.2018.11.060 OpenAlex:W2902735427
- Added
- 2026-10-22
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