Model:Mineraleroder

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Mineraleroder


Metadata

Also known as mineraleroder
Model type Single
Model part of larger framework Amanzi
Note on status model
Date note status model 2026-06-26
Incorporated models or components:
Spatial dimensions 1D
Spatial extent Watershed-Scale
Model domain Terrestrial
One-line model description solves for the concentration of weathering products in a 1-d steady eroding hillslope soil column
Extended model description These files are used to solve the equations for steady state mineral concentration and soil thickness (equations 7 and 8 in Roering et al., 2023). The files are modified versions of those developed by Ferrier and West (2017). The modifications include accounting for the alteration of mineral phases and the production of secondary mineral phases. The numerical implementation otherwise follows that presented by Ferrier and West (2017).

Ferrier, Ken L., and Nicole West. “Responses of Chemical Erosion Rates to Transient Perturbations in Physical Erosion Rates, and Implications for Relationships between Chemical and Physical Erosion Rates in Regolith-Mantled Hillslopes.” Earth and Planetary Science Letters v. 474, p. 447–56. https://doi.org/10.1016/j.epsl.2017.07.002. 

Roering, J. J., Hunter, B. D., Ferrier, K. L., Chadwick, O. A., Yoo, K., Wackett, A. A., et al. (2023). Quantifying erosion rates and weathering pathways that maximize soil organic carbon storage. Biogeochemistry. https://doi.org/10.1007/s10533-023-01054-7
Keywords:

weathering, poorly crystalline minerals,

Name Josh Roering
Type of contact Model developer
Institute / Organization University of Oregon
Postal address 1 Dept of Earth Sciences
Postal address 2 100 Cascade Hall
Town / City Eugene
Postal code 97403
State Oregon
Country United States
Email address jroering@uoregon.edu
Phone
Fax


Supported platforms
Mac OS, Windows
Other platform
Programming language

Matlab

Other program language
Code optimized
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2023
Does model development still take place? No
If above answer is no, provide end year model development
Code development status As is, no updates are provided
When did you indicate the 'code development status'? 2023
Model availability As code
Source code availability
(Or provide future intension) 		Through CSDMS repository
Source web address
Source csdms web address https://github.com/csdms-contrib/Mineraleroder
Program license type Other
Program license type other MIT
Memory requirements
Typical run time


Describe input parameters erosion rates and weathering rate constants
Input format ASCII
Other input format
Describe output parameters mineral concentrations and erosion rates
Output format ASCII
Other output format
Pre-processing software needed? No
Describe pre-processing software
Post-processing software needed? No
Describe post-processing software
Visualization software needed? No
If above answer is yes
Other visualization software


Describe processes represented by the model These files are used to solve the equations for steady state mineral concentration and soil thickness (equations 7 and 8 in Roering et al., 2023, Biogeochemistry). The files are modified versions of those developed by Ferrier and West (2017). The modifications include accounting for the alteration of mineral phases and the production of secondary mineral phases. The numerical implementation otherwise follows that presented by Ferrier and West (2017).
Describe key physical parameters and equations The lag_parameters.m script is used to specify the model parameters described in this manuscript and follows the conventions of Ferrier and West (2017). The steadyq_nd_eqns.m script sets up the soil thickness and mineral concentration equations. Notably, the mineral concentration equations are mineral specific given that the allophane, plagioclase and kaolinite equations account for gains and/or losses as described in the text. The steadyq_nd.m script invokes the Matlab equation solver and outputs soil thickness and the mineral concentrations as well as additional weathering metrics used by Ferrier and West (2017) that are not invoked here. The steadyEplot.m routine sets up a recursive loop to solve for the mineral concentrations and soil thickness for an array of steady state erosion rate values specified by the user and generates a plot of E ̂ vs. Callo,s and a plot of E ̂ vs. all mineral concentrations. The pcm_2D.m script is used to calculate the the value of E ̂ associated with peak allophane (termed E ̂_max) and the peak concentration of allophane (termed Callo,s_max) for a range of parameter values of K ̂_(plag,allo) and K ̂_(allo,kaol).
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues


Describe available calibration data sets see Roering et al., 2023 for example plots and parameters
Upload calibration data sets if available:
Describe available test data sets [[Describe available test data::Example matlab commands to create the plots shown in Figure 2 of Roering et al., 2023:

E=[0.01:0.01:0.99]; %creates vector with range of E values p=lag_parameters; %loads the parameter values [Ec,conc,h]=steadyEplot(p,E); %sets up the equations, solves them, and creates plots]]

Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers? N/A
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board
Comments


This part will be filled out by CSDMS staff

OpenMI compliant
BMI compliant
WMT component
PyMT component
Is this a data component No
DOI model 10.5281/zenodo.20982920
For model version v1.0
Year version submitted 2026
Link to file https://zenodo.org/records/20982920
Can be coupled with:
Model info
Authors
Josh Roering
Source code
DOI

Model citations
Nr. of publications: 3
Total citations: 25
h-index: 2
m-quotient: 0.2
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References



Nr. of publications: 3
Total citations: 25
h-index: 2
m-quotient: 0.2


Featured reference(s) Open Access Status Year Type of Reference Cited
Roering, Joshua J.; Hunter, Brooke D.; Ferrier, Ken L.; Chadwick, Oliver A.; Yoo, Kyungsoo; Wackett, Adrian A.; Almond, Peter C.; Silva, Lucas; Jellinek, A. Mark; 2023. Quantifying erosion rates and weathering pathways that maximize soil organic carbon storage. Biogeochemistry, 164319–333. 10.1007/s10533-023-01054-7
· publishedVersion		 2023 a module overview describing a module 8


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Input Files

Output Files

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