Delineating modelling uncertainty in river flow indicators with representative parameter sets

For mitigating negative effects of floods and droughts, estimates flow indicators their uncertainties are essential. The recently introduced concept the representative parameter sets (RPSs) enables modelling uncertainty to be represented in frequency space at low computational cost, using a small subset pre-selected model sets. This is here adapted assess hazards three indicators: annual maximal flow, 7-day-average mean flow. An additional in-depth analysis assesses RPS transferability other hydrological signatures. RPS-based simulations benchmarked with random selection results show that i) RPSs can successfully transferred between only drop performance; ii) used represent has thus great potential for delineating any environmental model.