Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-3025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Development and technical paper
 | 
16 Apr 2024
Development and technical paper |  | 16 Apr 2024

The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2

Pengfei Shi, L. Ruby Leung, Bin Wang, Kai Zhang, Samson M. Hagos, and Shixuan Zhang

Viewed

Total article views: 2,469 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,747 633 89 2,469 95 127
  • HTML: 1,747
  • PDF: 633
  • XML: 89
  • Total: 2,469
  • BibTeX: 95
  • EndNote: 127
Views and downloads (calculated since 01 Aug 2023)
Cumulative views and downloads (calculated since 01 Aug 2023)

Viewed (geographical distribution)

Total article views: 2,469 (including HTML, PDF, and XML) Thereof 2,430 with geography defined and 39 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
Download
Short summary
Improving climate predictions have profound socio-economic impacts. This study introduces a new weakly coupled land data assimilation (WCLDA) system for a coupled climate model. We demonstrate improved simulation of soil moisture and temperature in many global regions and throughout the soil layers. Furthermore, significant improvements are also found in reproducing the time evolution of the 2012 US Midwest drought. The WCLDA system provides the groundwork for future predictability studies.
Read more
Share