Most processes in the terrestrial, aquatic and atmospheric systems are affected by soil-landscape properties (e.g. carbon cycle, biogeochemical-vegetation interactions, vegetation root zone extent and sedimentary basin dynamics). Numerical models are a useful research tool as they allow segregation and simplification of specific processes and drivers and the simulation of spatial and/or temporal scenarios. This is important as quantification of rates and mechanisms in soil-landscape evolution can be extremely challenging as the effect of past conditions and drivers is often uncertain and quantifying past trends using modern observations can rarely provide a spatially and temporally continuous description of soil-landscape evolution trends.
mARM5D is a three‐dimensional model, simulating soil-landscape evolution as a function of erosion and pedogenic processes. The model simulates the discretized soil profile for points on a spatial grid.
Model description and download (via CSDMS model repository)
Poster (EGU 2010)
Cohen, S., G. Willgoose, T. Svoray, G. Hancock, and S. Sela (2015), The effects of sediment‐transport, weathering and aeolian mechanisms on soil evolution, Journal of Geophysical Research, 120: 260–274. DOI: 10.1002/2014JF003186 [pdf]
Cohen, S., G. Willgoose, and G. Hancock (2013), Soil–landscape response to mid and late Quaternary climate fluctuations based on numerical simulations, Quaternary Research, 79 (3): 452–457. doi: 10.1016/j.yqres.2013.01.001 [pdf]
Cohen, S., G. Willgoose, and G. Hancock (2010), The mARM3D spatially distributed soil evolution model: three-dimensional model framework, and analysis of hillslope and landform responses, Journal of Geophysical Research, 115, F04013, doi:10.1029/2009JF001536. [pdf]
Cohen, S., G. Willgoose, and G. Hancock (2009), The mARM spatially distributed soil evolution model: A computationally efficient modeling framework and analysis of hillslope soil surface organization, Journal of Geophysical Research, 114, F03001, doi:10.1029/2008JF001214. [pdf]