Abstract

The Earth shows a constant display of an organized complexity system, and its intrinsic capacity for sporadic self-organization constitutes its fundamental and profound mysterious property. A graphical method derived from the logistic phase space of precipitation is proposed to identify periods of abundance-scarcity of rain as well as El Nino presence in order to cope with climate change. The most striking result is that the majority of El Nino events on this graph are chaotic, in which the sign of the dominant eigenvalues of precipitation gives trends of scarcity on negative signs and abundance on positive signs, with eleven years periods.

Highlights

  • Simulation of dynamic systems yields conclusions that, among other things help us to make decisions and the outcomes may play another important role in the thinking process and for this purpose, motivation means to interpret and understand the nature of evolution, as well as the emerging weather, ecosystems, life and universe complexity, starting from the point of view of their fundamental simplicity

  • A graphical method derived from the logistic phase space of precipitation is proposed to identify periods of abundance-scarcity of rain as well as El Niño presence in order to cope with climate change

  • Sea surface temperatures exhibited a cooling trend in the Eastern Pacific during the 1980s on about 0.1 ̊C, followed by a similar warming through 1990, and following closely the 11-year sunspot cycle, where the prime source of global weather comes from the Tropics, in which the weather comes first and later comes El Niño

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Summary

Introduction

Simulation of dynamic systems yields conclusions that, among other things help us to make decisions and the outcomes may play another important role in the thinking process and for this purpose, motivation means to interpret and understand the nature of evolution, as well as the emerging weather, ecosystems, life and universe complexity, starting from the point of view of their fundamental simplicity. A graphical method derived from the logistic phase space of precipitation is proposed to identify periods of abundance-scarcity of rain as well as El Niño presence in order to cope with climate change.

Results
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