paper
2020
Nowcasting
New model or method
Classical ML (trees, GP, linear, kernels)0–6 hChina Meteorological Administration (CMA) Journal
2020-09-15
022
Sep 2020
Cong Wang, Ping Wang, Di Wang et al.
Monthly Weather Review
China Meteorological Administration (CMA)
Graph-based multicell features with a random forest predict next-hour short-term intense precipitation in North China with 79.2% POD and 68.3% CSI.
Nowcasting Multicell Short-Term Intense Precipitation Using Graph Models and Random Forests
In one sentence. Graph-based multicell features with a random forest predict next-hour short-term intense precipitation in North China with 79.2% POD and 68.3% CSI.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-20-0050.1 OpenAlex:W3095023762
- Added
- 2026-10-22
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