Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1735-2022
https://doi.org/10.5194/gmd-15-1735-2022
Development and technical paper
 | 
02 Mar 2022
Development and technical paper |  | 02 Mar 2022

Calibrating the soil organic carbon model Yasso20 with multiple datasets

Toni Viskari, Janne Pusa, Istem Fer, Anna Repo, Julius Vira, and Jari Liski

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Cited articles

Abramoff, R., Xiaofeng, X., Hartmann, M., O'Brien, S., Feng, W., Davidson, E., Finzi, A., Moorhead, D., Schimel, J., Torn, M., and Mayes, M. A.: The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century, Biogeochemistry, 137, 51–71, 2018. 
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Short summary
We wanted to examine how the chosen measurement data and calibration process affect soil organic carbon model calibration. In our results we found that there is a benefit in using data from multiple litter-bag decomposition experiments simultaneously, even with the required assumptions. Additionally, due to the amount of noise and uncertainties in the system, more advanced calibration methods should be used to parameterize the models.
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