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Initial Conditions for Convective-Scale Ensemble Forecasting Provided by Ensemble Data Assimilation

机译:Initial Conditions for Convective-Scale Ensemble Forecasting Provided by Ensemble Data Assimilation

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摘要

A kilometer-scale ensemble data assimilation system (KENDA) based on a local ensemble transform Kalman filter (LETKF) has been developed for the Consortium for Small-Scale Modeling (COSMO) limited-area model. The data assimilation system provides an analysis ensemble that can be used to initialize ensemble forecasts at a horizontal grid resolution of 2.8 km. Convective-scale ensemble forecasts over Germany using ensemble initial conditions derived by the KENDA system are evaluated and compared to operational forecasts with downscaled initial conditions for a short summer period during June 2012.

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