Helge Bormann, Mariana Madruga de Brito, Despoina Charchousi, Dimitris Chatzistratis, Amrei David, Paula Farina Grosser, Jenny Kebschull, Alexandros Konis, Paschalis Koutalakis, Alkistis Korali, Naomi Krauzig, Jessica Meier, Varvara Meliadou, Markus Meinhardt, Kieran Munnelly, Christiane Stephan, Leon Frederik de Vos, Jörg Dietrich, Ourania Tzoraki
- 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 modellingIn 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.…
MetadatenVerfasserangaben: | Helge Bormann, Mariana Madruga de Brito, Despoina Charchousi, Dimitris ChatzistratisORCiD, Amrei David, Paula Farina Grosser, Jenny Kebschull, Alexandros Konis, Paschalis Koutalakis, Alkistis Korali, Naomi Krauzig, Jessica Meier, Varvara Meliadou, Markus MeinhardtORCiD, Kieran Munnelly, Christiane Stephan, Leon Frederik de Vos, Jörg DietrichORCiD, Ourania TzorakiORCiD |
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DOI: | https://doi.org/10.3390/hydrology5040064 |
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ISSN: | 2306-5338 |
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Titel des übergeordneten Werks (Englisch): | Hydrology |
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Untertitel (Englisch): | Results from a ‘Modelling Contest’ |
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Verlag: | MDPI |
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Verlagsort: | Basel |
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Publikationstyp: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Datum der Erstveröffentlichung: | 19.11.2018 |
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Erscheinungsjahr: | 2018 |
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Datum der Freischaltung: | 07.01.2021 |
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Band: | 5 |
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Ausgabe: | 4 |
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Seitenanzahl: | 13 |
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Fördernde Institution: | DAAD (German Academic Exchange Service), grant “Floods and Flood Risk Management” as part of the program “Hochschuldialog mit Südeuropa” |
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Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie |
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DDC-Klassifikation: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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Peer Review: | Referiert |
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Publikationsweg: | Open Access / Gold Open-Access |
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| DOAJ gelistet |
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Lizenz (Deutsch): | CC-BY - Namensnennung 4.0 International |
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