paper
2021
Nowcasting
Observations & remote sensing New model or method
Classical ML (trees, GP, linear, kernels)0–6 hNOAA (incl. GFDL, PSL, GSL, NCEP/EMC)University of Oklahoma (AI2ES) Journal
2021-07-14
047
Jul 2021
Yunish Shrestha, Yan Rockee Zhang, Richard J. Doviak et al.
International Journal of Remote Sensing
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC), University of Oklahoma (AI2ES)
Machine learning on polarimetric S-band radar storm cells predicts lightning flash rates up to 30 minutes ahead, with polarimetric gains mainly for short datasets.
Lightning flash rate nowcasting based on polarimetric radar data and machine learning
In one sentence. Machine learning on polarimetric S-band radar storm cells predicts lightning flash rates up to 30 minutes ahead, with polarimetric gains mainly for short datasets.
Labels
- Topic
- Nowcasting, Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1080/01431161.2021.1933243 OpenAlex:W3185117548
- Added
- 2026-10-22
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