An implementation of the Local Ensemble Transform Kalman Filter on the NCEP GFS
Istvan Szunyogh, University of Maryland, College Park, MD; and E. J. Kostelich and G. Gyarmati
The accuracy and computational efficiency of the recently proposed Local Ensemble Transforms Kalman Filter data assimilation and ensemble generation scheme is investigated on a state-of-the-art operational numerical weather prediction model using both simulated and real observations. The model selected for this purpose is the T62 horizontal- and 28-level vertical-resolution 2004 version of the Global Forecast System (GFS) of the National Centers for Environmental Prediction. .
Session 4, Ensemble Forecasting
Tuesday, 31 January 2006, 8:45 AM-11:45 AM, A304
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