Abstract: An identification method for earth observation data according to a chaotic behavior based on Takens reconstruction theory is proposed. The proposed method is examined by using the observed time series data of SST (Sea Surface Temperature) and the SOI (Southern Oscillation Index) data. The experimental results show that the time for the identification of the proposed method is not later than that of the existing method. Author confirmed that by using the definitions of the Japan Meteorological Agency and the use of Equations, I can identify El Niño / La Niña at an earlier time. In other words, we do not necessarily need a numerical value for 10 months by identifying the proposed method. I confirmed that the time required for the identification judgment of the proposed method is about one month. The proposed method is not based on extrapolation method with numerical model or governing equation, but based on interpolation method using only actual observation time series.

Kohei Arai and Kaname Seto, “El Niño / La Niña Identification based on Takens Reconstruction Theory” International Journal of Advanced Computer Science and Applications(IJACSA), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090811

@article{Arai2018,
title = {El Niño / La Niña Identification based on Takens Reconstruction Theory},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090811},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090811},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Kohei Arai and Kaname Seto}
}