paper
2024
Observations & remote sensing
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels)Colorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2024-08-26
047
Aug 2024
Benjamin C. Trabing, Kyle Hilburn, S. Stevenson et al.
Journal of Atmospheric and Oceanic Technology
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Quality control methods, including ML-based anomaly detection, remove artifacts from GLM lightning near Atlantic tropical cyclones, lowering flagged lightning from 70% in 2017 to 2% in 2021.
Quality Control of Geostationary Lightning Mapper Observations for Tropical Cyclone Applications
In one sentence. Quality control methods, including ML-based anomaly detection, remove artifacts from GLM lightning near Atlantic tropical cyclones, lowering flagged lightning from 70% in 2017 to 2% in 2021.
Labels
- Topic
- Observations & remote sensing, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1175/jtech-d-23-0138.1 OpenAlex:W4401884930
- Added
- 2026-10-22
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