Summary
International Symposium on Nonlinear Theory and its Applications
2010
Session Number:B1L-C
Session:
Number:B1L-C4
Equatorial Climate Data Analysis and Forecasting by Singular Spectrum Analysis
Naoki Itoh, Jurgen Kurths,
pp.237-240
Publication Date:2010/9/5
Online ISSN:2188-5079
Summary:
This paper describes the techniques of Singular Spectrum Analysis (SSA) and forecasting by the Linear Recurrent Formulae (LRF), which are applied to monthly precipitation and lake-sediments in Kenya. By the SSA algorithm, information, such as a trend, seasonal periodicities, anomaly cycles, and noise, can be extracted from these data series. And then from the results obtained by the SSA, it is possible to forecast the data which are assumed to be governed by the LRF. The goal in this paper is to investigate the properties of the equatorial climate changes, where the global warming is remarkable.