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Nonlinear Dynamics of Climate Model

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  • Sarah Saleh Saad Alassaf

Abstract

Incredible lack of meteorological information appears to be one of its principle highlights from the perspective of atmosphere elements estimations. The lack is caused by nonrenewable misfortunes in the past together with moderate assembling in the present. Along with these lines, here we talk about one of the path and how to utilize the accessible perceptions of land surface air temperature in request to get estimations on development of nearby atmosphere elements. Since such elements are described by too high assortment of nonlinear practices, at that point the bifurcation investigation remains the fundamental instrument to give sensible and unbiased results concerning evolutional forms. In this unique circumstance, we build up the way to deal with model-based reproduction of the elements based on supposed HDS-show (the model of a Hysteresis controller with Double Synchronization). At present, just this calculated model permits to depict the circumstances and end results relations between hysteresis wonders and also feed moves in a neighborhood space scale from the bifurcation examination perspective. We trust that the displayed dialog could help to focus on neighborhood characteristics of inescapable atmosphere changes, and, after, could evaluate fairly atmosphere and monetary impacts caused by such changes, particularly, in connection to a point of no arrival. In this article we will discuss how nonlinear dynamics of climate model. Since the mathematical model is very complex so we are solving it numerically and the model will be represented in a graphical way.

Suggested Citation

  • Sarah Saleh Saad Alassaf, 2020. "Nonlinear Dynamics of Climate Model," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 12(5), pages 1-73, December.
  • Handle: RePEc:ibn:jmrjnl:v:12:y:2020:i:5:p:73
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    References listed on IDEAS

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    1. Kolokolov, Yury V. & Monovskaya, Anna V. & Hamzaoui, Abdelaziz, 2005. "On-line identification of multidimensional parametric vector random variation of pulse system," Chaos, Solitons & Fractals, Elsevier, vol. 24(3), pages 825-838.
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    1. Kolokolov, Yury & Monovskaya, Anna, 2005. "Fractal principles of multidimensional data structurization for real-time pulse system dynamics forecasting and identification," Chaos, Solitons & Fractals, Elsevier, vol. 25(5), pages 991-1006.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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