Geophysical Research Letters · 2020 · 27 citations · 29 references
Natural SciencesMeteorologyForecastingNumerical Weather PredictionWeather ForecastingExtreme WeatherExtreme Wind EventsSevere Convective StormsSevere Weather ForecastingTropical Cyclone ForecastingWind ForecastingElevated Convective Available Potential EnergyHybrid Forecasting ModelsHybrid Prediction ModelsPredictionSevere Storm ForecastingSevere Weather ClimatologyTornado ForecastingWeather Regime Forecasting
Abstract Tornadoes are one of the high‐impact weather phenomena that can induce life loss and property damage. Here, we investigate the relationship between large‐scale weather regimes and tornado occurrence in boreal spring. Results show that weather regimes strongly modulate the probability of tornado occurrence in the United States due to changes in shear and convective available potential energy and that persisting weather regimes (lasting ≥ 3 days) contribute to greater than 70% of outbreak days (days with ≥ 10 tornadoes). A hybrid model based on the weather regime frequency predicted by a numerical model is developed to predict above/below normal weekly tornado activity and has skill better than climatology out to Week 3. The hybrid model can be applied to real‐time forecasting and aide in mitigation of severe weather events.
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Least squares quantization in PCM
Sheelagh Lloyd · IEEE Transactions on Information Theory · 1982 · 15.6K citations · Full text