Analysis and Prediction of a Noisy Nonlinear Ocean

Robert N. Miller
College of Oceanic and Atmopsheirc Sciences, Oregon State University

Most of our data assimilation systems were developed for linear systems, or at least for systems whose linearized versions had significant skill. We seek ways to understand nonlinear phenomena in the ocean through application of dynamical systems theory and extension of techniques developed for linearized systems. We present preliminary results of an application of a variational data assimilation technique to the Kuroshio off Japan, and comparisons to data and to a detailed and finely resolved model that does not allow direct application of advanced data assimilation.

Last Update: October 3, 2005