A Local Ensemble Transform Kalman Filter: Perfect Model Results with the Lorenz-95 Model

Brian Hunt
The Institute for Physical Science and Technology, University of Maryland, College Park

I will describe briefly a general-purpose approach to data assimilation that combines elements of the Ensemble Transform Kalman Filter (Bishop et al., 2001) and the Local Ensemble Kalman Filter (Ott et al., 2004), and present results obtained with John Harlim using a model proposed by Lorenz in 1995 that illustrate some practical considerations in using this approach.

Last Update: September 29, 2005