Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4515-2024
© Author(s) 2024. 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-17-4515-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
31 May 2024
Model description paper |
| 31 May 2024
| 31 May 2024
In silico calculation of soil pH by SCEPTER v1.0
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
Isabella Chiaravalloti
Department of Earth and Planetary Sciences, Yale University, New Haven, CT 06511, USA
Yale Center for Natural Carbon Capture (YCNCC), Yale University, New Haven, CT 06511, USA
Shuang Zhang
Department of Oceanography, Texas A&M University, College Station, TX 77843, USA
Noah J. Planavsky
Department of Earth and Planetary Sciences, Yale University, New Haven, CT 06511, USA
Yale Center for Natural Carbon Capture (YCNCC), Yale University, New Haven, CT 06511, USA
Christopher T. Reinhard
CORRESPONDING AUTHOR
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
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Short summary
Soil pH is one of the most commonly measured agronomical and biogeochemical indices, mostly reflecting exchangeable acidity. Explicit simulation of both porewater and bulk soil pH is thus crucial to the accurate evaluation of alkalinity required to counteract soil acidification and the resulting capture of anthropogenic carbon dioxide through the enhanced weathering technique. This has been enabled by the updated reactive–transport SCEPTER code and newly developed framework to simulate soil pH.
Soil pH is one of the most commonly measured agronomical and biogeochemical indices, mostly...
