SMHI investigated how well can large scale models predict runoff and sediment concentrations in a recent scientific publication. The comparison of historical simulations for three nested model domains (global, continental, and national) found that simulated sediment concentrations varied considerably among the nested models in spatial patterns, whereas runoff values were more similar. For indicators of future change, variables that were calibrated directly provided more consistent message than those derived from other model outputs. These results are important for DIRT-X applications as the cross-scale analyses give a better understanding and quantification of impacts and uncertainties in climate impact assessments.

Read more: https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002078