Publication | Closed Access
NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System
147
Citations
50
References
2015
Year
EngineeringWeather ForecastingEarth ScienceData AssimilationEps ConfigurationsEps OutputNumerical Weather PredictionAtmospheric ScienceNumerical SimulationModeling And SimulationNatural ConvectionClimate ChangeMeteorologyPredictive AnalyticsSpring 2015Ncar ’ForecastingClimatologyEnsemble Algorithm
Abstract This expository paper documents an experimental, real-time, 10-member, 3-km, convection-allowing ensemble prediction system (EPS) developed at the National Center for Atmospheric Research (NCAR) in spring 2015. The EPS is particularly unique in that continuously cycling, limited-area, mesoscale ensemble Kalman filter analyses provide diverse initial conditions. In addition to describing the EPS configurations, initial forecast assessments are presented that suggest the EPS can provide valuable severe weather guidance and skillful predictions of precipitation. The EPS output is available to operational forecasters, many of whom have incorporated the products into their toolboxes. Given such rapid embrace of an experimental system by the operational community, acceleration of convection-allowing EPS development is encouraged.
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