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Proceedings Paper

El Niño southern oscillation: nonlinear modeling, satellite data, and Fourier analysis
Author(s): Nour Hadjih; Ahmed Hassebo; Yasser Hassebo; Frank Wang
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Paper Abstract

Interaction between the tropical ocean and atmosphere produces interannual climate variability dominated by the El Ni˜no Southern Oscillation (ENSO). We perform a Fourier analysis of the El Ni˜no events, which are characterized by positive sea-surface temperature (SST) anomalies. We consider an elementary nonlinear model for the ENSO phenomenon: the time rate of change of the SST depends on the existence of a strong positive feedback in the coupled ocean-atmosphere system, and on a nonlinear mechanism that limits the growth of unstable perturbations. A key element in this model is the inclusion of the effects of equatorially trapped oceanic waves propagating in a closed basin through a time delayed term. Numerical solution reveals solutions that are self-sustained oscillations. The model is extended by including external influences such as annual forcing, global warming, and stochastic effects. We investigate the range of the parameters that will cause drastic qualitative changes in the climate system, i.e. bifurcation.

Paper Details

Date Published: 5 September 2017
PDF: 7 pages
Proc. SPIE 10402, Earth Observing Systems XXII, 104022O (5 September 2017); doi: 10.1117/12.2274890
Show Author Affiliations
Nour Hadjih, LaGuardia Community College (United States)
The City College of New York (United States)
Ahmed Hassebo, The City College of New York (United States)
Yasser Hassebo, LaGuardia Community College (United States)
Frank Wang, LaGuardia Community College (United States)

Published in SPIE Proceedings Vol. 10402:
Earth Observing Systems XXII
James J. Butler; Xiaoxiong (Jack) Xiong; Xingfa Gu, Editor(s)

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