A paper related to Dirt-X has been published: https://link.springer.com/article/10.1007/s40808-023-01705-6. It is titled “Assessment of uncertainties in a complex modeling chain for predicting reservoir sedimentation under changing climate” and the authors are María Herminia Pesci, Kilian Mouris, Stefan Haun and Kristian Förster.
The Leibniz University of Hannover together with the University of Stuttgart assessed the uncertainties that arise when applying a complex modeling chain for predicting reservoir sedimentation under changing climate. The modeling chain consists of the water balance model WaSiM, the soil erosion and sediment transport model combination RUSLE-SEDD and the 3d hydro-morphodynamic reservoir model SSIIM2. In order to assess the propagation of uncertainties throughout the modeling chain, approximate model parameter uncertainties were quantified and compared to the uncertainties originating from climate models, which were represented by the spread of the climate projections (considering 3 GCM and 3 RCM). The results show that the model parameter uncertainties are much smaller than the spread of climate projections and are important not only for DIRT-X, but also for other modelers who would like to communicate different sources of uncertainty in complex modeling chains, including climate impact models,