Articles | Volume 25, issue 3
https://doi.org/10.5194/npg-25-693-2018
https://doi.org/10.5194/npg-25-693-2018
Research article
 | 
13 Sep 2018
Research article |  | 13 Sep 2018

A novel approach for solving CNOPs and its application in identifying sensitive regions of tropical cyclone adaptive observations

Linlin Zhang, Bin Mu, Shijin Yuan, and Feifan Zhou

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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere
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Cited articles

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We propose a novel approach to solve conditional nonlinear optimal perturbation for identifying sensitive areas for tropical cyclone adaptive observations. This method is free of adjoint models and overcomes two obstacles, not having adjoint models and having dimensions higher than the problem space. All experimental results prove that it is a meaningful and effective method for solving CNOP and provides a new way for such research. This work aims to solve CNOP and identify sensitive areas.