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-28-565-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-565-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 4
Research article
 | 
15 Oct 2021
Research article |  | 15 Oct 2021

Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system

Zofia Stanley, Ian Grooms, and William Kleiber

Viewed

Total article views: 3,606 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,572 958 76 3,606 86 127
  • HTML: 2,572
  • PDF: 958
  • XML: 76
  • Total: 3,606
  • BibTeX: 86
  • EndNote: 127
Views and downloads (calculated since 03 Mar 2021)
Cumulative views and downloads (calculated since 03 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,606 (including HTML, PDF, and XML) Thereof 3,423 with geography defined and 183 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
In weather forecasting, observations are incorporated into a model of the atmosphere through a process called data assimilation. Sometimes observations in one location may impact the weather forecast in another faraway location in undesirable ways. The impact of distant observations on the forecast is mitigated through a process called localization. We propose a new method for localization when a model has multiple length scales, as in a model spanning both the ocean and the atmosphere.
Read more
Share