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

Viewed

Total article views: 3,195 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,273 804 118 3,195 209 106 110
  • HTML: 2,273
  • PDF: 804
  • XML: 118
  • Total: 3,195
  • Supplement: 209
  • BibTeX: 106
  • EndNote: 110
Views and downloads (calculated since 16 Apr 2018)
Cumulative views and downloads (calculated since 16 Apr 2018)

Viewed (geographical distribution)

Total article views: 3,195 (including HTML, PDF, and XML) Thereof 2,963 with geography defined and 232 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Dec 2024
Download
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.