Biogeosciences
Biogeosciences
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Articles | Volume 17, issue 15
Articles | Volume 17, issue 15
https://doi.org/10.5194/bg-17-4043-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-4043-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Research article
 | 
10 Aug 2020
Research article |  | 10 Aug 2020

A Bayesian approach to evaluation of soil biogeochemical models

Hua W. Xie, Adriana L. Romero-Olivares, Michele Guindani, and Steven D. Allison

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Short summary
Soil biogeochemical models (SBMs) are needed to predict future soil CO2 emissions levels, but we presently lack statistically rigorous frameworks for assessing the predictive utility of SBMs. In this study, we demonstrate one possible approach to evaluating SBMs by comparing the fits of two models to soil CO2 respiration data with recently developed Bayesian statistical goodness-of-fit metrics. Our results demonstrate that our approach is a viable one for continued development and refinement.
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