18th Conference on Weather and Forecasting, 14th Conference on Numerical Weather Prediction, and Ninth Conference on Mesoscale Processes

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Tuesday, 31 July 2001
Impact of model error and precipitation observations in mesoscale 4DVAR data assimilation
Dusanka Zupanski, NOAA/NWS/NCEP and UCAR, Camp Springs, MD; and M. Zupanski, D. F. Parrish, G. J. DiMego, and E. Rogers
The NCEP's mesoscale 4DVAR data assimilation system is used in experiments to assess the impact of initial conditions on the forecast of severe weather events. A fine resolution eta model and its adjoint are employed in the experiments. The forecast model is used as a weak constraint. The impacts of model error and precipitation observations are the main focus of the study.

The preliminary results indicate a great potential of the 4DVAR method in mesoscale applications.

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