Errors of the day, bred vectors and singular vectors: implications for ensemble forecasting and data assimilation
Shu-Chih Yang, University of Maryland, College Park, MD; and M. Corazza and E. Kalnay
We compare the analysis and forecast “errors of the day” obtained with a quasi-geostrophic simulation of a 3D-Var data assimilation system (Morss et al, 2001) with bred vectors and with singular vectors derived with different norms. This comparison provides guidance on the optimal generation of initial perturbations for ensemble forecasting and the relative advantages of 4D-Var and Ensemble Kalman Filtering.
Extended Abstract (740K)
Joint Session 9, Data Assimilation and observational network design: Part VI (Joint between the Symposium on Forecasting the Weather and Climate of the Atmosphere and Ocean and the 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction) (ROOM 605/606)
Wednesday, 14 January 2004, 1:30 PM-2:30 PM, Room 605/606
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