paper
2019
Observations & remote sensing
Applications & impacts New model or method
Classical ML (trees, GP, linear, kernels)0–6 hNOAA (incl. GFDL, PSL, GSL, NCEP/EMC)University of Oklahoma (AI2ES) Journal
2019-01-08
047
Jan 2019
Jingxiao Cai, Yan Rockee Zhang, Richard J. Doviak et al.
IEEE Transactions on Geoscience and Remote Sensing
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC), University of Oklahoma (AI2ES)
Neural network classifies typhoon low-altitude turbulence from Hong Kong terminal Doppler radar, validated against commercial aircraft turbulence measurements.
Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and Machine Learning
In one sentence. Neural network classifies typhoon low-altitude turbulence from Hong Kong terminal Doppler radar, validated against commercial aircraft turbulence measurements.
Labels
- Topic
- Observations & remote sensing, Applications & impacts
- 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:10.1109/tgrs.2018.2886070 OpenAlex:W2909625457
- Added
- 2026-10-22
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