Articles | Volume 24, issue 4
https://doi.org/10.5194/npg-24-701-2017
https://doi.org/10.5194/npg-24-701-2017
Research article
 | 
01 Dec 2017
Research article |  | 01 Dec 2017

The Onsager–Machlup functional for data assimilation

Nozomi Sugiura

Viewed

Total article views: 2,300 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,335 787 178 2,300 155 154
  • HTML: 1,335
  • PDF: 787
  • XML: 178
  • Total: 2,300
  • BibTeX: 155
  • EndNote: 154
Views and downloads (calculated since 27 Jul 2017)
Cumulative views and downloads (calculated since 27 Jul 2017)

Viewed (geographical distribution)

Total article views: 2,300 (including HTML, PDF, and XML) Thereof 2,174 with geography defined and 126 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Mar 2024
Download
Short summary
The optimisation of simulation paths is sometimes misleading. We can find a path with the highest probability by the method of least squares. However, it is not necessarily the route where the paths are most concentrated. This paper clarifies how we can find the mode of a distribution of paths by optimisation.