Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4433-2024
https://doi.org/10.5194/gmd-17-4433-2024
Development and technical paper
 | 
29 May 2024
Development and technical paper |  | 29 May 2024

WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework

Changliang Shao and Lars Nerger

Viewed

Total article views: 493 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
361 99 33 493 22 17
  • HTML: 361
  • PDF: 99
  • XML: 33
  • Total: 493
  • BibTeX: 22
  • EndNote: 17
Views and downloads (calculated since 13 Nov 2023)
Cumulative views and downloads (calculated since 13 Nov 2023)

Viewed (geographical distribution)

Total article views: 493 (including HTML, PDF, and XML) Thereof 502 with geography defined and -9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
This paper introduces and evaluates WRF-PDAF, a fully online-coupled ensemble data assimilation (DA) system. A key advantage of the WRF-PDAF configuration is its ability to concurrently integrate all ensemble states, eliminating the need for time-consuming distribution and collection of ensembles during the coupling communication. The extra time required for DA amounts to only 20.6 % per cycle. Twin experiment results underscore the effectiveness of the WRF-PDAF system.