paper
2020
Extremes & hazards
Nowcasting New model or method
CNN / U-Net0–6 hNSF NCAR / UCARUniversity of Oklahoma (AI2ES) Journal
2020-06-24
061
Jun 2020
Ryan Lagerquist, Amy McGovern, Cameron R. Homeyer et al.
Monthly Weather Review
NSF NCAR / UCAR, University of Oklahoma (AI2ES)
CNNs using radar images and proximity soundings predict next-hour tornado occurrence with AUC above 0.9, with a GridRad critical success index of 0.31.
Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction
In one sentence. CNNs using radar images and proximity soundings predict next-hour tornado occurrence with AUC above 0.9, with a GridRad critical success index of 0.31.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-19-0372.1 OpenAlex:W3025786591
- Added
- 2026-10-22
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