In this research, runoff from the ICRA dataset was converted into a discharge and compared to measurements from 41 stations around Iceland. A cluster-based correction system was calculated to correct systematic overestimation in the simulated dataset. Then, an Extreme Value Analysis resulted in closer return levels between observations and simulations after applying the correction. Overall, these results showed that extreme discharge values based on catchment-accumulated runoff from the ICRA dataset was able to simulate the observed high discharge after correction.
Andréa-Giorgio R. Massad, Bergur Einarsson og Tinna Þórarinsdóttir