Model:LORICA

LORICA

Also known as
Model type	Single
Model part of larger framework
Note on status model
Date note status model

Incorporated models or components:

Spatial dimensions	2D
Spatial extent	Watershed-Scale, Reach-Scale
Model domain	Terrestrial
One-line model description	LORICA is a process-based soil-landscape evolution model (SLEM)
Extended model description	The LORICA model is a process-based soil-landscape evolution model that simulates how topography and soil layers co-evolve simultaneously over long timescales. It achieves this by coupling lateral geomorphic processes like water erosion and soil creep with vertical pedogenic processes such as weathering and bioturbation. Notably, the framework features a dynamic layering system that tracking shifting soil textures (sand, silt, clay) to simulate complex feedbacks like surface armouring and selective erosion.

Keywords:	Soil-landscape co-evolution, Texture-driven feedback,

Supported platforms	Windows
Other platform
Programming language
Other program language	C#
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2015
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status	Active
When did you indicate the 'code development status'?	2026
Model availability	As code
Source code availability (Or provide future intension)	Through web repository
Source web address	https://github.com/arnaudtemme/lorica_all_versions
Source csdms web address
Program license type	Other
Program license type other	--
Memory requirements	--
Typical run time	--

Describe input parameters	Spatial baseline datasets (raster maps), soil property initialization records, and process-rate coefficients.
Input format	Binary
Other input format
Describe output parameters	Final Topography (DEM), the new elevation map showing exactly where channels have carved or sediment has built up; Erosion and Deposition Maps, Net change maps displaying the exact meters of soil lost or gained per grid cell; and Surface Armouring Map, Visualizes where fine particles washed away, mapping out remaining stony/coarse surface layers.
Output format	Binary
Other output format
Pre-processing software needed?	Yes
Describe pre-processing software	E.g. QGIS or ArcGIS
Post-processing software needed?	Yes
Describe post-processing software	E.g. QGIS or ArcGIS
Visualization software needed?	Yes
If above answer is yes
Other visualization software	E.g. QGIS

Describe processes represented by the model	--
Describe key physical parameters and equations	--
Describe length scale and resolution constraints	--
Describe time scale and resolution constraints	--
Describe any numerical limitations and issues	--

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

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
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Model website if any
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Featured reference(s)	Open Access Status	Year	Type of Reference	Cited
Temme, Arnaud J.A.M.; Vanwalleghem, Tom; 2016. LORICA – A new model for linking landscape and soil profile evolution: Development and sensitivity analysis. Computers & Geosciences, 90131–143. 10.1016/j.cageo.2015.08.004	· acceptedVersion	2016	a module overview describing a module	85