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Observing System Design for Lagrangian Data Assimilation: Targeting Lagrangian Coherent Structures
H. Salman, K. Ide, C.K.R.T. Jones
UNC-Chapel Hill
hsalman@email.unc.edu(Abstract received 06/06/2005 for session D)
ABSTRACT
We present the augmented state representation together with an ensemble Kalman filter for the assimilation of Lagrangian data into a shallow-water equation ocean model. The augmented state representation, eliminates the need for any conventionally used approximations in assimilating the Lagrangian information. This augmentation also allows us to use dynamical systems theory for the design of a comprehensive observing system. We show how deploying drifters within the flow near the (Lagrangian) saddle/ centre points enhances the information content of the (Eulerian) flow dynamics extracted from the Lagrangian data.
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2005 LAPCOD Meeting, Lerici, Italy, June 13-17, 2005