Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 25, issue 3
Articles | Volume 25, issue 3
https://doi.org/10.5194/npg-25-589-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/npg-25-589-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 3
Research article
 | 
24 Aug 2018
Research article |  | 24 Aug 2018

Ensemble variational assimilation as a probabilistic estimator – Part 2: The fully non-linear case

Mohamed Jardak and Olivier Talagrand

Viewed

Total article views: 3,230 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,229 862 139 3,230 137 127
  • HTML: 2,229
  • PDF: 862
  • XML: 139
  • Total: 3,230
  • BibTeX: 137
  • EndNote: 127
Views and downloads (calculated since 24 Jan 2018)
Cumulative views and downloads (calculated since 24 Jan 2018)

Viewed (geographical distribution)

Total article views: 3,230 (including HTML, PDF, and XML) Thereof 2,969 with geography defined and 261 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Feb 2025
Download
Short summary
EnsVAR is fundamentally successful in that, even in conditions where Bayesianity cannot be expected, it produces ensembles which possess a high degree of statistical reliability. In non-linear strong-constraint cases, EnsVAR has been successful here only through the use of quasi-static variational assimilation. In the weak-constraint case, without QSVA, EnsVAR provided new evidence as to the favourable effect.
Read more
Share
Special issue
Numerical modeling, predictability and data assimilation in...