Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 14
Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 14
Model description paper
 | 
28 Jul 2026
Model description paper |  | 28 Jul 2026

MErSiM v1.0: resolving biases in global silicate weathering model with a data-driven surface erosion module

Jiaxi Zhao, Yonggang Liu, and Yongyun Hu

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Short summary
By using artificial intelligence and geological measurements, we built a machine learning model that accurately shows how landscapes erode. With this module included we developed a new silicate weatherig model, named MErSiM v1.0, which corrected a major overestimation of weathering flux in models simulating Earth’s long-term carbon cycle. This revealed that Earth's natural ability to remove atmospheric carbon dioxide is profoundly weaker under intense warming than previously understood.
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