A neural network short-term forecast of significant thunderstorms
- NOAA, National Severe Storms Forecast Center, Kansas City, MO (United States)
Neural networks, an artificial-intelligence tools that excels in pattern recognition, are reviewed, and a 3-7-h significant thunderstorm forecast developed with this technique is discussed. Two neural networks learned to forecast significant thunderstorms from fields of surface-based lifted index and surface moisture convergence. These networks are sensitive to the patterns that skilled forecasters recognize as occurring prior to strong thunderstorms. The two neural networks are combined operationally at the National Severe Storm Forecast Center into a single hourly product that enhances pattern-recognition skills. Examples of neural network products are shown, and their potential impact on significant thunderstorm forecasting is demonstrated. 22 refs.
- OSTI ID:
- 6999590
- Journal Information:
- Weather and Forecasting; (United States), Vol. 7:3; ISSN 0882-8156
- Country of Publication:
- United States
- Language:
- English
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