paper
2022
Nowcasting
Benchmarks, datasets & evaluation New model or method
0–6 h Journal
2022-04-04
012
Apr 2022
Tsuyoshi Inoue, Ryohei Misumi
Weather and Forecasting
Training a deep learning radar nowcaster on all of Japan and then transfer learning to regions improves heavy-precipitation skill over locally trained models.
Learning from Precipitation Events in the Wider Domain to Improve the Performance of a Deep Learning–Based Precipitation Nowcasting Model
In one sentence. Training a deep learning radar nowcaster on all of Japan and then transfer learning to regions improves heavy-precipitation skill over locally trained models.
Labels
- Topic
- Nowcasting, Benchmarks, datasets & evaluation
- Type
- New model or method
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1175/waf-d-21-0078.1 OpenAlex:W4224032897
- Added
- 2026-10-22
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