paper
2019
Post-processing & calibration
Nowcasting New model or method
CNN / U-Net0–6 h Journal
2019-01-01
012
Jan 2019
Takeru Kurakami, Kazuyoshi Souma, Takashi Miyamoto et al.
Journal of Japan Society of Civil Engineers Ser G (Environmental Research)
A CNN corrects cloud-resolving model precipitation output for very short-term rainfall forecasts, trained against JMA analysed rainfall over urban cells.
A DEEP-LEARNING METHOD TO CORRECT THE OUTPUT OF A NUMERICAL WEATHER PREDICTION MODEL USED FOR SHORT-TERM PRECIPITATION FORECAST
In one sentence. A CNN corrects cloud-resolving model precipitation output for very short-term rainfall forecasts, trained against JMA analysed rainfall over urban cells.
Labels
- Topic
- Post-processing & calibration, Nowcasting
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Radar
- Status
- Research
- Identifiers
- DOI:10.2208/jscejer.75.i_33 OpenAlex:W3013710461
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.