P4.7
Nonlinear Data Assimilation of Coherent Features
PAPER WITHDRAWN
Jeffrey B. Weiss, University of Colorado, Boulder, CO; and B. E. Beechler, G. S. Duane, and J. Tribbia
Theories of geophysical turbulence and chaotic dynamics lead to the conclusion that assimilating coherent features should lead to improved forecasts. A modular algorithm to assimilate coherent patterns is developed and tested. The algorithm uses nonlinear pattern recognition techniques to identify coherent features and grid morphing to construct the analysis field. The modularity allows feature assimilation to use any standard data assimilation method and can be used together with data assimilation of traditional quantities. The method is tested in a two-layer quasigeostrophic channel by assimilating the location of coherent jets.
Poster Session 4, Tropical Circulations and Dynamics
Thursday, 28 June 2007, 5:00 PM-6:30 PM, Ballroom North
Previous paper Next paper