paper
2019
Extremes & hazards
Observations & remote sensing Application study
CNN / U-Net Journal
2019-03-14
008
Mar 2019
Toru Adachi, Naoki Ishitsu, Kenichi Kusunoki et al.
Japan Geoscience Union
Deep learning applied to phased-array weather radar volumes detects tornadic vortices in Typhoon Nanmadol (2017); the abstract gives no quantitative results.
Volumetric Detection of Tornadic Vortices Associated with Typhoon Nanmadol (2017) Using PAWR and Deep Learning
In one sentence. Deep learning applied to phased-array weather radar volumes detects tornadic vortices in Typhoon Nanmadol (2017); the abstract gives no quantitative results.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- Application study
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- OpenAlex:W3175722958
- Added
- 2026-10-22
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