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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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shijin Yuan on behalf of the Authors (24 Jul 2018)  Author's response 
ED: Referee Nomination & Report Request started (25 Jul 2018) by Christian Franzke
RR by Anonymous Referee #1 (10 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (10 Aug 2018) by Christian Franzke
AR by Shijin Yuan on behalf of the Authors (19 Aug 2018)  Manuscript 
ED: Publish as is (28 Aug 2018) by Christian Franzke
AR by Shijin Yuan on behalf of the Authors (29 Aug 2018)  Manuscript 
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Short summary
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.