My earlier research has concerned, among others things, the use and the reliability of LES, the application of
nonlinear time series analysis on flow fields, and the inclusion of marine organic aerosol sources in global climate models.
Halkos, George and Tsilika, Kyriaki (2014):
Nonlinear time series analysis of annual temperatures concerning the global Earth climate.
Topics will include predictability, ensemble prediction, nonlinear prediction,
nonlinear time series analysis, low - dimensional chaos, error growth in the models, nonlinear modeling, fractals and multifractals, bifurcation, and other aspects of nonlinear science.
The researchers created a software package based on the Python programming language that unifies complex network theory and
nonlinear time series analysis — two important data analysis concepts.
Not exact matches
Hank Roberts, Re «Spectrum Ratio» see also «Vautard, R., and M. Ghil (1989): «Singular spectrum
analysis in
nonlinear dynamics, with applications to paleoclimatic
time series», Physica D, 35, 395 — 424.»
SSA arises from an interest in connecting
nonlinear dynamics with
time series analysis [Broomhead and King, 1986]...
A good discussion and example using Pacific equatorial SSTs and using PCs to characterize ENSO can be found in Hsieh, W. W. (2004),
Nonlinear multivariate and
time series analysis by neural network methods, Rev. Geophys., 42, RG1003, doi: 10.1029 / 2002RG000112.