paper
2020
Extremes & hazards
Benchmarks, datasets & evaluationPost-processing & calibration New model or method
Classical ML (trees, GP, linear, kernels)0–6 h6 h–3 days Preprint
2020-12-18
012
Dec 2020
Montgomery L. Flora
SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)
Object-based verification of storm-scale mesocyclone probabilities, plus evaluation of ML calibrations of Warn-on-Forecast severe weather guidance.
Storm-scale Ensemble-based Severe Weather Guidance: Development of an Object-based Verification Framework and Applications of Machine Learning
In one sentence. Object-based verification of storm-scale mesocyclone probabilities, plus evaluation of ML calibrations of Warn-on-Forecast severe weather guidance.
Labels
- Topic
- Extremes & hazards, Benchmarks, datasets & evaluation, Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h, 6 h–3 days
- Domain
- Regional
- Data
- Radar, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- OpenAlex:W3111277298
- Added
- 2026-10-22
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