Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 29, issue 3
Articles | Volume 29, issue 3
https://doi.org/10.5194/npg-29-317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-29-317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 3
Research article
 | 
01 Sep 2022
Research article |  | 01 Sep 2022

Applying prior correlations for ensemble-based spatial localization

Chu-Chun Chang and Eugenia Kalnay

Viewed

Total article views: 2,186 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,763 367 56 2,186 35 39
  • HTML: 1,763
  • PDF: 367
  • XML: 56
  • Total: 2,186
  • BibTeX: 35
  • EndNote: 39
Views and downloads (calculated since 01 Mar 2022)
Cumulative views and downloads (calculated since 01 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,186 (including HTML, PDF, and XML) Thereof 2,055 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Dec 2024
Download
Short summary
This study introduces a new approach for enhancing the ensemble data assimilation (DA), a technique that combines observations and forecasts to improve numerical weather predictions. Our method uses the prescribed correlations to suppress spurious errors, improving the accuracy of DA. The experiments on the simplified atmosphere model show that our method has comparable performance to the traditional method but is superior in the early stage and is more computationally efficient.
Read more