Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 31, issue 4
Articles | Volume 31, issue 4
https://doi.org/10.5194/npg-31-463-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-31-463-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 31, issue 4
Research article
 | 
08 Oct 2024
Research article |  | 08 Oct 2024

A comparison of two nonlinear data assimilation methods

Vivian A. Montiforte, Hans E. Ngodock, and Innocent Souopgui

Viewed

Total article views: 794 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
604 123 67 794 36 34
  • HTML: 604
  • PDF: 123
  • XML: 67
  • Total: 794
  • BibTeX: 36
  • EndNote: 34
Views and downloads (calculated since 24 Jan 2024)
Cumulative views and downloads (calculated since 24 Jan 2024)

Viewed (geographical distribution)

Total article views: 794 (including HTML, PDF, and XML) Thereof 759 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
Advanced data assimilation methods are complex and computationally expensive. We compare two simpler methods, diffusive back-and-forth nudging and concave–convex nonlinearity, which account for change over time with the potential of providing accurate results with a reduced computational cost. We evaluate the accuracy of the two methods by implementing them within simple chaotic models. We conclude that the length and frequency of observations impact which method is better suited for a problem.
Read more