Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 33, issue 3
Articles | Volume 33, issue 3
https://doi.org/10.5194/npg-33-335-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-33-335-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 33, issue 3
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

Noise-scaled accuracy of the ensemble Kalman filter with an instability-based minimum ensemble size

Kota Takeda and Takemasa Miyoshi

Viewed

Total article views: 3,045 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,281 591 173 3,045 367 450
  • HTML: 2,281
  • PDF: 591
  • XML: 173
  • Total: 3,045
  • BibTeX: 367
  • EndNote: 450
Views and downloads (calculated since 12 Nov 2025)
Cumulative views and downloads (calculated since 12 Nov 2025)

Viewed (geographical distribution)

Total article views: 3,045 (including HTML, PDF, and XML) Thereof 3,021 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Jul 2026
Download
Short summary
This study examines the minimum ensemble size for accurate geophysical forecasting using a method called the ensemble Kalman filter. We reformulate accuracy via observation noise-dependency to classify filter performance qualitatively. Through numerical experiments with a chaotic model, we link the minimum ensemble size for the accuracy to system's instability and propose an effective ensemble downsizing method that ensures both stability and accuracy.
Read more
Share