paper
2021
Nowcasting
Observations & remote sensing New model or method
Other0–6 h Journal
2021-11-23
012
Nov 2021
Zhuoyu Zhang, Zhenghao He, Jin Shui Yang et al.
IEEE Transactions on Geoscience and Remote Sensing
A point-cloud network with attention estimates 3-D storm motion from radar volumes, trained on synthetic Perlin-noise data, with 5-15% lower endpoint error.
A 3-D Storm Motion Estimation Method Based on Point Cloud Learning and Doppler Weather Radar Data
In one sentence. A point-cloud network with attention estimates 3-D storm motion from radar volumes, trained on synthetic Perlin-noise data, with 5-15% lower endpoint error.
Labels
- Topic
- Nowcasting, Observations & remote sensing
- Type
- New model or method
- Method
- Other
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2021.3130406 OpenAlex:W4255647317
- Added
- 2026-10-22
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