Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6311-2022
https://doi.org/10.5194/hess-26-6311-2022
Research article
 | 
16 Dec 2022
Research article |  | 16 Dec 2022

Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture

Sinan Li, Li Zhang, Jingfeng Xiao, Rui Ma, Xiangjun Tian, and Min Yan

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Latest update: 20 Nov 2024
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Short summary
Accurate estimation for global GPP and ET is important in climate change studies. In this study, the GLASS LAI, SMOS, and SMAP datasets were assimilated jointly and separately in a coupled model. The results show that the performance of joint assimilation for GPP and ET is better than that of separate assimilation. The joint assimilation in water-limited regions performed better than in humid regions, and the global assimilation results had higher accuracy than other products.