paper
2023
Local & station forecasting
Applications & impacts New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2023-01-01
004
Jan 2023
Zengyuan Chao
Computer Science and Information Systems
Decision-tree and ML systems are proposed for smart-city weather modification forecasting, claiming 35% accuracy gains over traditional models on Shaanxi data with limited methodological detail.
Machine learning-based intelligent weather modification forecast in smart city potential area
In one sentence. Decision-tree and ML systems are proposed for smart-city weather modification forecasting, claiming 35% accuracy gains over traditional models on Shaanxi data with limited methodological detail.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.2298/csis220717018c OpenAlex:W4323781422
- Added
- 2026-10-22
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