Worldwide, inorganic carbon comprises approximately a third of the total carbon pool in soils, largely in the form of pedogenic carbonates. Carbonates, predominately calcite, occur in semi-arid and arid regions in the form of calcareous, calcic, and petrocalcic horizons. Understanding the processes governing the storage and flux of these pedogenic carbonate pools is crucial to the development of accurate regional and global carbon budgets. Objectives of this study were to: (1) develop a process-based soil carbonate model that accounts for landscape hydrology and geomorphic position, and (2) validate model predictions against field data from a Mojave Desert landscape. Landscape hydrology was modeled using topographic index calculations from a 4.2 m DEM obtained from IFSAR data. A one-dimensional compartmentalized thermodynamic model simulated carbonate precipitation. Geomorphic delineation, surface characterization, and detailed soil descriptions from 65 soil pits in the southern Fry Mountains served as inputs into the model. Precipitation and evaporation inputs were simulated using a separate stochastic model. Time steps were determined from optically-stimulated luminescence dates and extrapolated across the site using a surface stability index. Our results show that the incorporation of landscape information into a process-based model is necessary for accurately predicting the distribution of soil carbonate accumulations. Model structure, comparisons between field measurements and model predictions, and significance to global climate change will be presented.