Recorded presentation9A.1
Latest results with the local ensemble transform Kalman filter
Eric J. Kostelich, Arizona State University, Tempe, AZ
The Local Ensemble Transform Kalman Filter (LETKF) has proven to be a very
accurate, model-independent data assimilation algorithm that can be
implemented efficiently on highly parallel computer architectures.
This talk will survey some of the latest results with the LETKF,
including its application to an estuarine ocean model and to
bias correction of atmospheric surface pressure observations in the Global
Forecast System. The talk will also discuss some particulars of
the LETKF's computational efficency, including ways in which it
can be readily adapted to highly irregular model grids.
Session 9A, Advanced Methods for Data Assimilation—I
Wednesday, 14 January 2009, 10:30 AM-12:00 PM, Room 130
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