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| Preliminary Study on Applying Conditional Nonlinear Optimal Perturbation to Tropical Cyclone Mitigation |
| Received:September 26, 2019 Revised:October 26, 2019 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2019.11.018 |
| KeyWord:s, 2018, 15:2013-2022. |
| Author | Institution |
| PENG Yue-hua |
PLA Dalian Naval Academy, Dalian , China;Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing , China |
| ZHANG Wei-min |
National University of Defense Technology, Changsha , China |
| ZHENG Chong-wei |
PLA Dalian Naval Academy, Dalian , China;National University of Defense Technology, Changsha , China |
| XIANG Jie |
National University of Defense Technology, Changsha , China |
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| Abstract: |
| To initiatively mitigate the tropical cyclone disaster and lay a theoretical basis for engineering practice of tropical cyclone control in the future, investigations into tropical cyclone mitigation, especially those made by Ross Hoffman, were 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) was briefly presented. On this basis, the primary application of CNOP, improved by comparison with 4D-Var, were stressed upon, which can make use of the observational data during the controlling process, thereby having some advantages over 4D-Var in weather control. 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, were further investigated. 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. The investigation and analysis show that CNOP approach are useful in tropical cyclone mitigation. |
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