paper
2018
Local & station forecasting
Applications & impacts New model or method
CNN / U-Net6 h–3 days Journal
2018-12-01
008
Dec 2018
SungKwan Ku, Seungsu Kim, Seokmin Hong
International Journal of Advanced Culture Technology(IJACT)
CNN trained on past wind, humidity, temperature and visibility predicts runway visual range at a local airport from station time series.
Runway visual range prediction using Convolutional Neural Network with Weather information
In one sentence. CNN trained on past wind, humidity, temperature and visibility predicts runway visual range at a local airport from station time series.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3173624484
- Added
- 2026-10-22
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