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

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

doi:https://doi.org/10.5194/gmd-17-3447-2024

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

Data sets

Development and preliminary validation of a land surface image assimilation system based on the common land model Wangbin Shen https://doi.org/10.5281/zenodo.10068298

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Model code and software

Development and preliminary validation of a land surface image assimilation system based on the common land model Wangbin Shen https://doi.org/10.5281/zenodo.10068298

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.