Meteorological Applications · 2013 · 43 citations · 15 references
AeroacousticsForecasting MethodologyEngineeringTurbulenceWeather ForecastingClimate ModelingEarth ScienceEnsemble MethodsEnsemble ForecastsProbabilistic ForecastingNumerical Weather PredictionData ScienceSystems EngineeringMeteorological MeasurementAtmospheric ModelingMeteorologyTurbulence Forecasting SystemPredictive AnalyticsForecastingAbstract TurbulenceAerospace EngineeringAtmospheric TransportTurbulence ForecastsEnsemble Algorithm
ABSTRACT Turbulence is a major source of weather‐related aviation incidents. There are many different indicators used to try and predict where turbulence is likely to occur. The indicators are derived from deterministic models although they are often quoted as probabilities. This paper proposes the use of ensemble forecasts from the Met Office Global and Regional Ensemble Prediction System ( MOGREPS ) to produce a probabilistic indicator of wind shear and convectively induced moderate or greater turbulence. An objective verification scheme using high‐resolution automated aircraft observations from the Global Aircraft Data Set is used to compare the skill with the routinely available World Area Forecast Centre gridded turbulence forecasts. The forecasts are assessed globally over a 12 month period from November 2010 to October 2011 looking at the skill, reliability and economic value of the forecasts.
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