Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 30, issue 3
Articles | Volume 30, issue 3
https://doi.org/10.5194/npg-30-289-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-30-289-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 3
NPG Letters
 | 
21 Jul 2023
NPG Letters |  | 21 Jul 2023

Using orthogonal vectors to improve the ensemble space of the ensemble Kalman filter and its effect on data assimilation and forecasting

Yung-Yun Cheng, Shu-Chih Yang, Zhe-Hui Lin, and Yung-An Lee

Viewed

Total article views: 1,930 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,658 230 42 1,930 29 27
  • HTML: 1,658
  • PDF: 230
  • XML: 42
  • Total: 1,930
  • BibTeX: 29
  • EndNote: 27
Views and downloads (calculated since 06 Jan 2023)
Cumulative views and downloads (calculated since 06 Jan 2023)

Viewed (geographical distribution)

Total article views: 1,930 (including HTML, PDF, and XML) Thereof 1,867 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 May 2024
Download
Short summary
In the ensemble Kalman filter, the ensemble space may not fully capture the forecast errors due to the limited ensemble size and systematic model errors, which affect the accuracy of analysis and prediction. This study proposes a new algorithm to use cost-free pseudomembers to expand the ensemble space effectively and improve analysis accuracy during the analysis step, without increasing the ensemble size during forecasting.
Read more