Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 4
Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1735-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1735-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 4
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

Viewed

Total article views: 5,741 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,392 1,196 153 5,741 463 129 190
  • HTML: 4,392
  • PDF: 1,196
  • XML: 153
  • Total: 5,741
  • Supplement: 463
  • BibTeX: 129
  • EndNote: 190
Views and downloads (calculated since 24 Sep 2021)
Cumulative views and downloads (calculated since 24 Sep 2021)

Viewed (geographical distribution)

Total article views: 5,741 (including HTML, PDF, and XML) Thereof 5,414 with geography defined and 327 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Mar 2026
Download
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.
Read more
Share