Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 6
Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3319-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3319-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 6
Technical note
 | 
16 Jun 2021
Technical note |  | 16 Jun 2021

Technical Note: Sequential ensemble data assimilation in convergent and divergent systems

Hannes Helmut Bauser, Daniel Berg, and Kurt Roth

Viewed

Total article views: 1,885 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,171 664 50 1,885 33 33
  • HTML: 1,171
  • PDF: 664
  • XML: 50
  • Total: 1,885
  • BibTeX: 33
  • EndNote: 33
Views and downloads (calculated since 17 Feb 2021)
Cumulative views and downloads (calculated since 17 Feb 2021)

Viewed (geographical distribution)

Total article views: 1,885 (including HTML, PDF, and XML) Thereof 1,753 with geography defined and 132 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
Data assimilation methods are used throughout the geosciences to combine information from uncertain models and uncertain measurement data. In this study, we distinguish between the characteristics of geophysical systems, i.e., divergent systems (initially nearby states will drift apart) and convergent systems (initially nearby states will coalesce), and demonstrate the implications for sequential ensemble data assimilation methods, which require a sufficient divergent component.
Read more