Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1619-2022
https://doi.org/10.5194/gmd-15-1619-2022
Model description paper
 | 
24 Feb 2022
Model description paper |  | 24 Feb 2022

Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)

Jinyun Tang, William J. Riley, and Qing Zhu

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Cited articles

Ahlström, A., Smith, B., Lindström, J., Rummukainen, M., and Uvo, C. B.: GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance, Biogeosciences, 10, 1517–1528, https://doi.org/10.5194/bg-10-1517-2013, 2013. 
Ahrens, B., Braakhekke, M. C., Guggenberger, G., Schrumpf, M., and Reichstein, M.: Contribution of sorption, DOC transport and microbial interactions to the C-14 age of a soil organic carbon profile: Insights from a calibrated process model, Soil. Biol. Biochem., 88, 390–402, 2015. 
Berardi, D., Brzostek, E., Blanc-Betes, E., Davison, B., DeLucia, E. H., Hartman, M. D., Kent, J., Parton, W. J., Saha, D., and Hudiburg, T. W.: 21st-century biogeochemical modeling: Challenges for Century-based models and where do we go from here?, GCB Bioenergy, 1–15, https://doi.org/10.1111/gcbb.12730, 2020. 
Bergstra, J. and Bengio, Y.: Random Search for Hyper-Parameter Optimization, J. Mach. Learn. Res., 13, 281–305, 2012. 
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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.