JP2.1
Impact of model error and precipitation observations in mesoscale 4DVAR data assimilation
PAPER WITHDRAWN
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.
Joint Poster Session 2, Poster Session - Mesoscale Data Assimilation—with Coffee Break
Tuesday, 31 July 2001, 2:30 PM-4:00 PM
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