paper
2022
Nowcasting
Benchmarks, datasets & evaluation Evaluation or intercomparison of existing models
CNN / U-Net0–6 hKorea Meteorological Administration (KMA) Journal
2022-12-08
022
Dec 2022
Seok‐Geun Oh, Chanil Park, Seok‐Woo Son et al.
Asia-Pacific Journal of Atmospheric Sciences
Korea Meteorological Administration (KMA)
Evaluates deep-learning very-short-term rainfall forecasts over South Korea; abstract not provided, so specific skill numbers are unknown.
Evaluation of Deep-Learning-Based Very Short-Term Rainfall Forecasts in South Korea
In one sentence. Evaluates deep-learning very-short-term rainfall forecasts over South Korea; abstract not provided, so specific skill numbers are unknown.
Labels
- Topic
- Nowcasting, Benchmarks, datasets & evaluation
- Type
- Evaluation or intercomparison of existing models
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1007/s13143-022-00310-4 OpenAlex:W4311881576
- Added
- 2026-10-22
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