Articles | Volume 13, issue 9
Geosci. Model Dev., 13, 4305–4321, 2020
https://doi.org/10.5194/gmd-13-4305-2020
Geosci. Model Dev., 13, 4305–4321, 2020
https://doi.org/10.5194/gmd-13-4305-2020

Development and technical paper 16 Sep 2020

Development and technical paper | 16 Sep 2020

Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0)

Lars Nerger et al.

Viewed

Total article views: 1,541 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,101 403 37 1,541 50 43
  • HTML: 1,101
  • PDF: 403
  • XML: 37
  • Total: 1,541
  • BibTeX: 50
  • EndNote: 43
Views and downloads (calculated since 01 Aug 2019)
Cumulative views and downloads (calculated since 01 Aug 2019)

Viewed (geographical distribution)

Total article views: 1,223 (including HTML, PDF, and XML) Thereof 1,214 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Apr 2021
Download
Short summary
Data assimilation combines observations with numerical models to get an improved estimate of the model state. This work discusses the technical aspects of how a coupled model that simulates the ocean and the atmosphere can be augmented by data assimilation functionality provided in generic form by the open-source software PDAF (Parallel Data Assimilation Framework). A very efficient program is obtained that can be executed on high-performance computers.