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

Viewed

Total article views: 1,103 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
858 217 28 1,103 14 20
  • HTML: 858
  • PDF: 217
  • XML: 28
  • Total: 1,103
  • BibTeX: 14
  • EndNote: 20
Views and downloads (calculated since 21 Sep 2022)
Cumulative views and downloads (calculated since 21 Sep 2022)

Viewed (geographical distribution)

Total article views: 1,103 (including HTML, PDF, and XML) Thereof 1,066 with geography defined and 37 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Apr 2024
Download
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.