ABSTRACT
This chapter explains the construction of predictive chaotic model based on the methods of nonlinear dynamics and chaos theory for predicting storm surges in the North Sea. Several nonlinear time series analysis techniques, such as power spectral density, correlation dimension, mutual information, false nearest neighbors, Lyapunov spectrum are employed to identify the presence of deterministic chaos in the storm surge dynamics and to estimate the proper values of time delays and embedding dimension. Phase space reconstruction and global and local modeling are done for storm surge predictions.
