Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3447-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3447-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
Development and technical paper
 | 
30 Apr 2024
Development and technical paper |  | 30 Apr 2024

Development and preliminary validation of a land surface image assimilation system based on the Common Land Model

Wangbin Shen, Zhaohui Lin, Zhengkun Qin, and Juan Li

Viewed

Total article views: 3,949 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,448 1,388 113 3,949 108 171
  • HTML: 2,448
  • PDF: 1,388
  • XML: 113
  • Total: 3,949
  • BibTeX: 108
  • EndNote: 171
Views and downloads (calculated since 13 Nov 2023)
Cumulative views and downloads (calculated since 13 Nov 2023)

Viewed (geographical distribution)

Total article views: 3,949 (including HTML, PDF, and XML) Thereof 3,915 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 May 2026
Download
Short summary
In this study, a land surface image assimilation system capable of optimizing the spatial structure of the background field is constructed by introducing the curvelet analysis method and taking the similarity of image structure as a weak constraint. The findings demonstrate that the assimilation of surface soil moisture observation images effectively and reasonably enhances the spatial structure of soil moisture analysis field.
Read more
Share