Impact of Hydrological Modellers' Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model: Results from a 'Modelling Contest'

Helge Bormann, Mariana de Brito, Despoina Charchousi, Dimitris Chatzistratis, Amrei David, Paula Grosser, Jenny Kebschull, Alexandros Konis, Paschalis Koutalakis, Alkistis Korali, Naomi Krauzig, Jessica Meier (+7 others)
2018 Hydrology  
In this study, 17 hydrologists with different experience in hydrological modelling applied the same conceptual catchment model (HBV) to a Greek catchment, using identical data and model code. Calibration was performed manually. Subsequently, the modellers were asked for their experience, their calibration strategy, and whether they enjoyed the exercise. The exercise revealed that there is considerable modellers' uncertainty even among the experienced modellers. It seemed to be equally important
more » ... e equally important whether the modellers followed a good calibration strategy, and whether they enjoyed modelling. The exercise confirmed previous studies about the benefit of model ensembles: Different combinations of the simulation results (median, mean) outperformed the individual model simulations, while filtering the simulations even improved the quality of the model ensembles. Modellers' experience, decisions, and attitude, therefore, have an impact on the hydrological model application and should be considered as part of hydrological modelling uncertainty.
doi:10.3390/hydrology5040064 fatcat:fbxgt2ybknbr3mn7qd4dkyn2wi