Details
| Original language | English |
|---|---|
| Article number | 64 |
| Journal | Hydrology |
| Volume | 5 |
| Issue number | 4 |
| Publication status | Published - 19 Nov 2018 |
Abstract
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 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.
Keywords
- Conceptual hydrological model, HBV, Model ensemble, Modellers' decisions, Modellers' uncertainty
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Oceanography
- Environmental Science(all)
- Water Science and Technology
- Environmental Science(all)
- Waste Management and Disposal
- Earth and Planetary Sciences(all)
- Earth-Surface Processes
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In: Hydrology, Vol. 5, No. 4, 64, 19.11.2018.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Impact of Hydrological Modellers’ Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model: Results from a 'Modelling Contest'
AU - Bormann, Helge
AU - de Brito, Mariana Madruga
AU - Charchousi, Despoina
AU - Chatzistratis, Dimitris
AU - David, Amrei
AU - Grosser, Paula Farina
AU - Kebschull, Jenny
AU - Konis, Alexandros
AU - Koutalakis, Paschalis
AU - Korali, Alkistis
AU - Krauzig, Naomi
AU - Meier, Jessica
AU - Meliadou, Varvara
AU - Meinhardt, Markus
AU - Munnelly, Kieran
AU - Stephan, Christiane
AU - de Vos, Leon Frederik
AU - Dietrich, Jörg
AU - Tzoraki, Ourania
N1 - Funding information: This research was funded by DAAD (German Academic Exchange Service), grant “Floods and Flood Risk Management” as part of the program “Hochschuldialog mit Südeuropa”.
PY - 2018/11/19
Y1 - 2018/11/19
N2 - 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 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.
AB - 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 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.
KW - Conceptual hydrological model
KW - HBV
KW - Model ensemble
KW - Modellers' decisions
KW - Modellers' uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85059226417&partnerID=8YFLogxK
U2 - 10.3390/hydrology5040064
DO - 10.3390/hydrology5040064
M3 - Article
AN - SCOPUS:85059226417
VL - 5
JO - Hydrology
JF - Hydrology
IS - 4
M1 - 64
ER -