Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 25, issue 1
Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-55-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-25-55-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 1
Research article
 | 
30 Jan 2018
Research article |  | 30 Jan 2018

Optimal transport for variational data assimilation

Nelson Feyeux, Arthur Vidard, and Maëlle Nodet

Viewed

Total article views: 2,858 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,495 1,161 202 2,858 179 168
  • HTML: 1,495
  • PDF: 1,161
  • XML: 202
  • Total: 2,858
  • BibTeX: 179
  • EndNote: 168
Views and downloads (calculated since 07 Aug 2017)
Cumulative views and downloads (calculated since 07 Aug 2017)

Viewed (geographical distribution)

Total article views: 2,858 (including HTML, PDF, and XML) Thereof 2,634 with geography defined and 224 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
In geophysics, numerical models are generally initialized through so-called data assimilation methods. They require computation of a distance between model fields and physical observations. The most common choice is the Euclidian distance. However, due to its local nature it is not well suited for capturing position errors. This papers investigates theoretical aspects of the use of the optimal transport-based Wasserstein distance in this context and shows that it is able to capture such errors.
Read more