| Volumes and Issues Contents of Issue 6 Special Issue |
www.nonlin-processes-geophys.net/8/341/2001/
© Author(s) 2001. This work is licensed
under a Creative Commons License.
Probing the linearity and nonlinearity in the transitions of the atmospheric circulation
Dept. of Mathematical Sciences, Atmospheric Sciences Group, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
Abstract. In this paper, we apply the principles of information theory that relate to the definition of nonlinear predictability, which is a measure that describes both the linear and nonlinear components of a system. By comparing this measure to a measure of linear predictability, one can assess whether a given system has a strong nonlinear or a strong linear component. This provides insights as to whether the system should be modelled by a nonlinear model or by a linear model. We apply these ideas to a known dynamical system and to a time series that describe the transitions in atmospheric circulation.
Full Article (PDF, 358 KB)
Citation: Tsonis, A. A.: Probing the linearity and nonlinearity in the transitions of the atmospheric circulation, Nonlin. Processes Geophys., 8, 341-345, 2001. Bibtex EndNote Reference Manager
