Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 12
Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 12
Model evaluation paper
 | 
23 Jun 2022
Model evaluation paper |  | 23 Jun 2022

An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation

Jingzhe Sun, Yingjing Jiang, Shaoqing Zhang, Weimin Zhang, Lv Lu, Guangliang Liu, Yuhu Chen, Xiang Xing, Xiaopei Lin, and Lixin Wu

Viewed

Total article views: 2,878 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,230 584 64 2,878 48 51
  • HTML: 2,230
  • PDF: 584
  • XML: 64
  • Total: 2,878
  • BibTeX: 48
  • EndNote: 51
Views and downloads (calculated since 20 Dec 2021)
Cumulative views and downloads (calculated since 20 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,878 (including HTML, PDF, and XML) Thereof 2,667 with geography defined and 211 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
An online ensemble coupled data assimilation system with the Community Earth System Model is designed and evaluated. This system uses the memory-based information transfer approach which avoids frequent I/O operations. The observations of surface pressure, sea surface temperature, and in situ temperature and salinity profiles can be effectively assimilated into the coupled model. That will facilitate a long-term high-resolution climate reanalysis once the algorithm efficiency is much improved.
Read more