Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1619-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1619-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
24 Feb 2022
Model description paper |
| 24 Feb 2022
| 24 Feb 2022
Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)
Jinyun Tang
CORRESPONDING AUTHOR
Climate and Ecosystem Science Division, Lawrence Berkeley National
Laboratory, Berkeley, CA, USA
William J. Riley
Climate and Ecosystem Science Division, Lawrence Berkeley National
Laboratory, Berkeley, CA, USA
Qing Zhu
Climate and Ecosystem Science Division, Lawrence Berkeley National
Laboratory, Berkeley, CA, USA
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It is still challenging to apply the quantitative and comprehensive global sensitivity analysis method to complex large-scale process-based hydrological models because of variant uncertainty sources and high computational cost. This work developed a new tool and demonstrate its implementation to a pilot example for comprehensive global sensitivity analysis of large-scale hydrological modelling. This method is mathematically rigorous and can be applied to other large-scale hydrological models.
Dalei Hao, Ghassem R. Asrar, Yelu Zeng, Qing Zhu, Jianguang Wen, Qing Xiao, and Min Chen
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Short summary
We here describe version 2 of BeTR, a reactive transport model created to help ease the development of biogeochemical capability in Earth system models that are used for quantifying ecosystem–climate feedbacks. We then coupled BeTR-v2 to the Energy Exascale Earth System Model to quantify how different numerical couplings of plants and soils affect simulated ecosystem biogeochemistry. We found that different couplings lead to significant uncertainty that is not correctable by tuning parameters.
We here describe version 2 of BeTR, a reactive transport model created to help ease the...
