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Weather and Climate Manipulation as an Optimal Control for Adaptive Dynamical Systems

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  • Sergei A. Soldatenko

Abstract

The weather and climate manipulation is examined as an optimal control problem for the earth climate system, which is considered as a complex adaptive dynamical system. Weather and climate manipulations are actually amorphous operations. Since their objectives are usually formulated vaguely, the expected results are fairly unpredictable and uncertain. However, weather and climate modification is a purposeful process and, therefore, we can formulate operations to manipulate weather and climate as the optimization problem within the framework of the optimal control theory. The complexity of the earth’s climate system is discussed and illustrated using the simplified low-order coupled chaotic dynamical system. The necessary conditions of optimality are derived for the large-scale atmospheric dynamics. This confirms that even a relatively simplified control problem for the atmospheric dynamics requires significant efforts to obtain the solution.

Suggested Citation

  • Sergei A. Soldatenko, 2017. "Weather and Climate Manipulation as an Optimal Control for Adaptive Dynamical Systems," Complexity, Hindawi, vol. 2017, pages 1-12, January.
    • Handle: RePEc:hin:complx:4615072
    DOI: 10.1155/2017/4615072
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    1. Ming, Tingzhen & de_Richter, Renaud & Liu, Wei & Caillol, Sylvain, 2014. "Fighting global warming by climate engineering: Is the Earth radiation management and the solar radiation management any option for fighting climate change?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 792-834.
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    Cited by:

    1. Sergei Soldatenko & Alexey Bogomolov & Andrey Ronzhin, 2021. "Mathematical Modelling of Climate Change and Variability in the Context of Outdoor Ergonomics," Mathematics, MDPI, vol. 9(22), pages 1-25, November.
    2. Sergei Soldatenko & Rafael Yusupov, 2021. "An Optimal Control Perspective on Weather and Climate Modification," Mathematics, MDPI, vol. 9(4), pages 1-15, February.

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