The paper introduces different approaches to parallelization based on OpenMPI and OpenMP applied to the Universal Soil Loss Equation (USLE). The USLE was used as a proxy for similar models from the “impact assessment toolbox”. The simulation of impact assessment takes into account climate change and changes in management. Even such a simple model as the USLE can lead to a time-consuming simulation when applied to a large region and when including stochastic data. The paper discusses the pros and cons of the implemented parallelization techniques. The key technology is to divide the simulation into two parts: a binary part implemented in C++ and an interpreter part which controls the parallel simulation written in Python. Python and its modules were also used to preand post-process the simulation.
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