Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3447-2024
https://doi.org/10.5194/gmd-17-3447-2024
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

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Cited articles

Cioni, G. and Hohenegger, C.: Effect of soil moisture on diurnal convection and precipitation in large-eddy simulations, J. Hydrometeorol., 18, 1885–1903, https://doi.org/10.1175/JHM-D-16-0241.1, 2017. 
Crow, W. T., Gomez, C. A., Sabater, J. M., Holmes, T., Hain, C. R., Lei, F., Dong, J., Alfieri, J. G., and Anderson, M. C.: Soil moisture–evapotranspiration overcoupling and L-Band brightness temperature assimilation: Sources and forecast implications, J. Hydrometeorol., 21, 2359–2374, https://doi.org/10.1175/JHM-D-20-0088.1, 2020. 
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Dai, Y., Zeng, X., Dickinson, R., Baker, I., Bonan, G. B., Bosilovich, M. G., Denning, S., Dirmeyer, P., Houser, P., Niu, G., Oleson, K., Schlosser, A., and Yang, Z.: The Common Land Model, B. Am. Meteorol. Soc., 84, 1013–1023, https://doi.org/10.1175/BAMS-84-8-1013, 2003. 
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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.
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