Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 28, issue 4
Articles | Volume 28, issue 4
https://doi.org/10.5194/npg-28-633-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-633-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 4
Research article
 | 
23 Dec 2021
Research article |  | 23 Dec 2021

Inferring the instability of a dynamical system from the skill of data assimilation exercises

Yumeng Chen, Alberto Carrassi, and Valerio Lucarini

Viewed

Total article views: 4,518 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,550 863 105 4,518 132 152
  • HTML: 3,550
  • PDF: 863
  • XML: 105
  • Total: 4,518
  • BibTeX: 132
  • EndNote: 152
Views and downloads (calculated since 12 Jul 2021)
Cumulative views and downloads (calculated since 12 Jul 2021)

Viewed (geographical distribution)

Total article views: 4,518 (including HTML, PDF, and XML) Thereof 4,054 with geography defined and 464 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 06 May 2026
Download
Short summary
Chaotic dynamical systems are sensitive to the initial conditions, which are crucial for climate forecast. These properties are often used to inform the design of data assimilation (DA), a method used to estimate the exact initial conditions. However, obtaining the instability properties is burdensome for complex problems, both numerically and analytically. Here, we suggest a different viewpoint. We show that the skill of DA can be used to infer the instability properties of a dynamical system.
Read more
Share