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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-934', Anonymous Referee #1, 03 Nov 2022
    • AC1: 'Reply on RC1', Marijn van der Meij, 13 Jan 2023
  • RC2: 'Comment on egusphere-2022-934', Harrison Gray, 07 Nov 2022
    • AC2: 'Reply on RC2', Marijn van der Meij, 13 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (18 Jan 2023) by Michael Dietze
AR by Marijn van der Meij on behalf of the Authors (30 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (10 Feb 2023) by Michael Dietze
ED: Referee Nomination & Report Request started (14 Mar 2023) by Michael Dietze
RR by Harrison Gray (16 Mar 2023)
RR by Anonymous Referee #1 (30 Mar 2023)
ED: Publish as is (30 Mar 2023) by Michael Dietze
ED: Publish as is (05 Apr 2023) by Greg Balco (Editor)
AR by Marijn van der Meij on behalf of the Authors (05 Apr 2023)  Manuscript 
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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.