Recorded presentation4A.4
Advanced Data Assimilation with a Limited Area Model
Dagmar Merkova, University of Maryland, College Park, MD; and I. Szunyogh
The goal of this research is to explore the forecast value that a
the high resolution limited area data assimilation system can add to the
value of a lower resolution global analysis and The data assimilation system
used here for both the global and limited area data assimilation is the Local
Ensemble Transform Kalman Filter. The global data assimilation is done with
the model component of the NCEP Global Forecast System, while the limited
area data assimilation is carried out with the Regional Spectral Model of
NCEP. The main motivation for choosing these models is their close
relationship. The NCEP RSM is high- resolution correction to the lower
resolution fields of the NCEP GFS, therefore global and regional analysis can
be prepared in a consistent manner.
The quality of the data assimilation systems is assessed for "perfect" model
scenario and also by verifying short term (12-48 hours) forecasts against
real observations and high resolution operational analyzes.
Session 4A, Mesoscale Data Assimilation and Impact Experiments—I
Tuesday, 13 January 2009, 8:30 AM-9:45 AM, Room 130
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