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

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

doi:https://doi.org/10.5194/hess-26-6311-2022

Articles | Volume 26, issue 24

https://doi.org/10.5194/hess-26-6311-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-6311-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 24

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

Supplement

https://doi.org/10.5194/hess-26-6311-2022-supplement

Data sets

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (https://fluxnet.org/data/fluxnet2015-dataset/) G. Pastorello, C. Trotta, E. Canfora, et al. https://doi.org/10.1038/s41597-020-0534-3

Monthly groundwater table depth, soil moisture, evapotranspiration dataset with high spatial resolution over the Heihe River Basin (1981-2013) Z. Xie https://doi.org/10.11888/Hydro.tpdc.270888

Model code and software

Open source distribution of the computer simulation model LPJmL C. Müller, W. von Bloh, and R. Gieseke https://github.com/PIK-LPJmL/LPJmL

Short summary

Accurate estimation for global GPP and ET is important in climate change studies. In this study,...