Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6857-2026
https://doi.org/10.5194/gmd-19-6857-2026
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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Cited articles

Amiotte Suchet, P., Probst, J., and Ludwig, W.: Worldwide distribution of continental rock lithology: Implications for the atmospheric/soil CO2 uptake by continental weathering and alkalinity river transport to the oceans, Global Biogeochem. Cy., 17, 2002GB001891, https://doi.org/10.1029/2002GB001891, 2003. 
Anderson, R. S. and Anderson, S. P.: Geomorphology: The Mechanics and Chemistry of Landscapes, Cambridge University Press, https://doi.org/10.1017/CBO9780511794827, 2010. 
Berner, R. A.: A model for atmospheric CO2 over Phanerozoic time, Am. J. Sci., 291, 339–376, https://doi.org/10.2475/ajs.291.4.339, 1991. 
Berner, R. A. and Caldeira, K.: The need for mass balance and feedback in the geochemical carbon cycle, Geology, 25, 955–956, https://doi.org/10.1130/0091-7613(1997)025<0955:TNFMBA>2.3.CO;2, 1997. 
Berner, R. A., Lasaga, A. C., and Garrels, R. M.: Carbonate-silicate geochemical cycle and its effect on atmospheric carbon dioxide over the past 100 million years, Am. J. Sci., 283, https://doi.org/10.2475/ajs.283.7.641, 1983. 
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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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