Articles | Volume 25, issue 3
https://doi.org/10.5194/npg-25-589-2018
https://doi.org/10.5194/npg-25-589-2018
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: 2,906 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,019 769 118 2,906 115 106
  • HTML: 2,019
  • PDF: 769
  • XML: 118
  • Total: 2,906
  • BibTeX: 115
  • EndNote: 106
Views and downloads (calculated since 24 Jan 2018)
Cumulative views and downloads (calculated since 24 Jan 2018)

Viewed (geographical distribution)

Total article views: 2,906 (including HTML, PDF, and XML) Thereof 2,662 with geography defined and 244 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
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.