Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-55-2018
https://doi.org/10.5194/npg-25-55-2018
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: 2,584 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,317 1,088 179 2,584 163 151
  • HTML: 1,317
  • PDF: 1,088
  • XML: 179
  • Total: 2,584
  • BibTeX: 163
  • EndNote: 151
Views and downloads (calculated since 07 Aug 2017)
Cumulative views and downloads (calculated since 07 Aug 2017)

Viewed (geographical distribution)

Total article views: 2,584 (including HTML, PDF, and XML) Thereof 2,381 with geography defined and 203 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 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.