A process‐based soil erosion model ensemble to assess model uncertainty in climate‐change impact assessments

The impact of climate change on future soil loss is commonly assessed with erosion models, which are suggested to be an important source uncertainty. Here, we present a novel model ensemble assess uncertainty in climate-change assessments. consists five continuous process-based models that run at daily time step (i.e., DHSVM, HSPF, INCA, MMF, SHETRAN). were implemented the SPHY hydrological and simulate detachment by raindrop impact, runoff, immediate deposition. was applied semiarid catchment southeast Spain. We three scenarios based global mean temperature rise (+1.5, +2 +3°C). Data from two contrasting regional used how increase decrease projected extreme precipitation affect Soil (up 95%) −30%) under change, mostly reflecting precipitation. Model found increasing slope, reveals some inherent differences assumptions among models. Moreover, increases all scenarios, independent annual This stresses importance consider through ensembles climate, hydrology,