paper
2021
Extremes & hazards
Nowcasting New model or method
Other6 h–3 daysChina Meteorological Administration (CMA)Fudan University (FuXi) Journal
2021-09-28
047
Sep 2021
Yangli‐ao Geng, Qingyong Li, Tianyang Lin et al.
Quarterly Journal of the Royal Meteorological Society
China Meteorological Administration (CMA), Fudan University (FuXi)
LightNet+ fuses radar, station and NWP data in a deep network for lightning forecasting, beating three established schemes and improving as data sources are added.
A deep learning framework for lightning forecasting with multi‐source spatiotemporal data
In one sentence. LightNet+ fuses radar, station and NWP data in a deep network for lightning forecasting, beating three established schemes and improving as data sources are added.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Radar, Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1002/qj.4167 OpenAlex:W3203572917
- Added
- 2026-10-22
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