Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 30, issue 3
Articles | Volume 30, issue 3
https://doi.org/10.5194/npg-30-263-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-30-263-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 3
Research article
 | 
06 Jul 2023
Research article |  | 06 Jul 2023

An adjoint-free algorithm for conditional nonlinear optimal perturbations (CNOPs) via sampling

Bin Shi and Guodong Sun

Viewed

Total article views: 1,429 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,133 230 66 1,429 43 37
  • HTML: 1,133
  • PDF: 230
  • XML: 66
  • Total: 1,429
  • BibTeX: 43
  • EndNote: 37
Views and downloads (calculated since 21 Nov 2022)
Cumulative views and downloads (calculated since 21 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,429 (including HTML, PDF, and XML) Thereof 1,377 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 May 2024
Download
Short summary
We introduce a sample-based algorithm to obtain the conditional nonlinear optimal perturbations. Compared with the classical adjoint-based method, it is easier to implement and reduces the required storage for the basic state. When we reduce the number of samples to some extent, it reduces the computation markedly more when using the sample-based method, which can guarantee that the CNOP obtained is nearly consistent with some minor fluctuating errors oscillating in spatial distribution.
Read more