Journal of Water Resources and Ocean Science

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A Methodology for Applying Conditional Nonlinear Optimal Perturbation and Natural Cybernetics to Tropical Cyclone Mitigation

Received: Nov. 02, 2018    Accepted: Nov. 27, 2018    Published: Nov. 21, 2019
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Abstract

Investigations into tropical cyclone mitigation, especially those made by Ross Hoffman, are introduced in the beginning to elicit the weather control version of 4-Dimensional Variation (4D-Var) as a nonlinear optimal control technique and the theory of natural cybernetics. Subsequently, the concept of Conditional Nonlinear Optimal Perturbations (CNOP) and the existing connotation of natural cybernetics related to weather modification are briefly presented. After that, the primary application of CNOP, improved by comparison with 4D-Var, are stressed upon, which can make use of the observational data during the controlling process, thereby having some advantages over 4D-Var in weather control. The technique may be called ‘nonlinear optimal forcing variation calculus (NOFV)’ or ‘nonlinear optimal forcing perturbation (NOFP)’ approach, which could make controlling as close to the observation as possible. Moreover, two other applications of CNOP, i.e. inversion of the initial perturbation evolving into a tropical cyclone and the solution of perturbation yielding maximum vertical wind shear with CNOP, are further investigated. Subsequently, the application of natural cybernetics to tropical cyclone mitigation and control, is analyzed in comparison with precipitation enhancement. Meanwhile, the means to realize tropical cyclone control and mitigation are synoptically reviewed. The investigation and analysis show that CNOP approach and natural cybernetics are useful in tropical cyclone mitigation and control.

DOI 10.11648/j.wros.20190806.13
Published in Journal of Water Resources and Ocean Science ( Volume 8, Issue 6, December 2019 )
Page(s) 108-116
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Conditional Nonlinear Optimal Perturbations (CNOP), Tropical Cyclone Mitigation, Natural Cybernetics, 4-Dimensional Variation (4D-Var), Nonlinear Optimal Forcing Perturbation (NOFP)

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  • APA Style

    Peng Yuehua, Shi Weilai, Chen Zhongxin, Wang Ting. (2019). A Methodology for Applying Conditional Nonlinear Optimal Perturbation and Natural Cybernetics to Tropical Cyclone Mitigation. Journal of Water Resources and Ocean Science, 8(6), 108-116. https://doi.org/10.11648/j.wros.20190806.13

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    ACS Style

    Peng Yuehua; Shi Weilai; Chen Zhongxin; Wang Ting. A Methodology for Applying Conditional Nonlinear Optimal Perturbation and Natural Cybernetics to Tropical Cyclone Mitigation. J. Water Resour. Ocean Sci. 2019, 8(6), 108-116. doi: 10.11648/j.wros.20190806.13

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    AMA Style

    Peng Yuehua, Shi Weilai, Chen Zhongxin, Wang Ting. A Methodology for Applying Conditional Nonlinear Optimal Perturbation and Natural Cybernetics to Tropical Cyclone Mitigation. J Water Resour Ocean Sci. 2019;8(6):108-116. doi: 10.11648/j.wros.20190806.13

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  • @article{10.11648/j.wros.20190806.13,
      author = {Peng Yuehua and Shi Weilai and Chen Zhongxin and Wang Ting},
      title = {A Methodology for Applying Conditional Nonlinear Optimal Perturbation and Natural Cybernetics to Tropical Cyclone Mitigation},
      journal = {Journal of Water Resources and Ocean Science},
      volume = {8},
      number = {6},
      pages = {108-116},
      doi = {10.11648/j.wros.20190806.13},
      url = {https://doi.org/10.11648/j.wros.20190806.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.wros.20190806.13},
      abstract = {Investigations into tropical cyclone mitigation, especially those made by Ross Hoffman, are introduced in the beginning to elicit the weather control version of 4-Dimensional Variation (4D-Var) as a nonlinear optimal control technique and the theory of natural cybernetics. Subsequently, the concept of Conditional Nonlinear Optimal Perturbations (CNOP) and the existing connotation of natural cybernetics related to weather modification are briefly presented. After that, the primary application of CNOP, improved by comparison with 4D-Var, are stressed upon, which can make use of the observational data during the controlling process, thereby having some advantages over 4D-Var in weather control. The technique may be called ‘nonlinear optimal forcing variation calculus (NOFV)’ or ‘nonlinear optimal forcing perturbation (NOFP)’ approach, which could make controlling as close to the observation as possible. Moreover, two other applications of CNOP, i.e. inversion of the initial perturbation evolving into a tropical cyclone and the solution of perturbation yielding maximum vertical wind shear with CNOP, are further investigated. Subsequently, the application of natural cybernetics to tropical cyclone mitigation and control, is analyzed in comparison with precipitation enhancement. Meanwhile, the means to realize tropical cyclone control and mitigation are synoptically reviewed. The investigation and analysis show that CNOP approach and natural cybernetics are useful in tropical cyclone mitigation and control.},
     year = {2019}
    }
    

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    AB  - Investigations into tropical cyclone mitigation, especially those made by Ross Hoffman, are introduced in the beginning to elicit the weather control version of 4-Dimensional Variation (4D-Var) as a nonlinear optimal control technique and the theory of natural cybernetics. Subsequently, the concept of Conditional Nonlinear Optimal Perturbations (CNOP) and the existing connotation of natural cybernetics related to weather modification are briefly presented. After that, the primary application of CNOP, improved by comparison with 4D-Var, are stressed upon, which can make use of the observational data during the controlling process, thereby having some advantages over 4D-Var in weather control. The technique may be called ‘nonlinear optimal forcing variation calculus (NOFV)’ or ‘nonlinear optimal forcing perturbation (NOFP)’ approach, which could make controlling as close to the observation as possible. Moreover, two other applications of CNOP, i.e. inversion of the initial perturbation evolving into a tropical cyclone and the solution of perturbation yielding maximum vertical wind shear with CNOP, are further investigated. Subsequently, the application of natural cybernetics to tropical cyclone mitigation and control, is analyzed in comparison with precipitation enhancement. Meanwhile, the means to realize tropical cyclone control and mitigation are synoptically reviewed. The investigation and analysis show that CNOP approach and natural cybernetics are useful in tropical cyclone mitigation and control.
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Author Information
  • Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Dalian Naval Academy, Dalian, China

  • College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, China

  • Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China; IT Division (CIO), Food and Agriculture Organization of the United Nations (FAO), Rome, Italy

  • College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, China

  • Section