Articles | Volume 5, issue 1
https://doi.org/10.5194/gchron-5-241-2023
https://doi.org/10.5194/gchron-5-241-2023
Research article
 | 
04 May 2023
Research article |  | 04 May 2023

ChronoLorica: introduction of a soil–landscape evolution model combined with geochronometers

W. Marijn van der Meij, Arnaud J. A. M. Temme, Steven A. Binnie, and Tony Reimann

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Cited articles

Alewell, C., Pitois, A., Meusburger, K., Ketterer, M., and Mabit, L.: 239+240Pu from “contaminant” to soil erosion tracer: Where do we stand?, Earth-Sci. Rev., 172, 107–123, https://doi.org/10.1016/j.earscirev.2017.07.009, 2017. 
Amenu, G. G., Kumar, P., and Liang, X.-Z.: Interannual variability of deep-layer hydrologic memory and mechanisms of its influence on surface energy fluxes, J. Climate, 18, 5024–5045, 2005. 
Anderson, R. S.: Particle trajectories on hillslopes: Implications for particle age and 10Be structure, J. Geophys. Res.-Earth, 120, 1626–1644, https://doi.org/10.1002/2015JF003479, 2015. 
Arata, L., Meusburger, K., Frenkel, E., A'Campo-Neuen, A., Iurian, A.-R., Ketterer, M. E., Mabit, L., and Alewell, C.: Modelling Deposition and Erosion rates with RadioNuclides (MODERN) – Part 1: A new conversion model to derive soil redistribution rates from inventories of fallout radionuclides, J. Environ. Radioactiv., 162–163, 45–55, https://doi.org/10.1016/j.jenvrad.2016.05.008, 2016a. 
Arata, L., Alewell, C., Frenkel, E., A'Campo-Neuen, A., Iurian, A.-R., Ketterer, M. E., Mabit, L., and Meusburger, K.: Modelling Deposition and Erosion rates with RadioNuclides (MODERN) – Part 2: A comparison of different models to convert 239+240Pu inventories into soil redistribution rates at unploughed sites, J. Environ. Radioactiv., 162–163, 97–106, https://doi.org/10.1016/j.jenvrad.2016.05.009, 2016b. 
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Short summary
We present our model ChronoLorica. We coupled the original Lorica model, which simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and the study of how soil, landscapes and geochronometers change under complex boundary conditions such as intensive land management.
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