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

Bormann, Helge ; De Brito, Mariana Madruga ; Charchousi, Despoina ; Chatzistratis, Dimitris ; David, Amrei ; Grosser, Paula Farina ; Kebschull, Jenny ; Konis, Alexandros ; Koutalakis, Paschalis ; Korali, Alkistis ; Krauzig, Naomi ; Meier, Jessica ; Meliadou, Varvara ; Meinhardt, Markus ; Munnelly, Kieran ; Stephan, Christiane ; De Vos, Leon Frederik ; Dietrich, Jörg ; Tzoraki, Ourania (2024)
Impact of Hydrological Modellers’ Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model: Results from a ‘Modelling Contest’.
In: Hydrology, 2018, 5 (4)
doi: 10.26083/tuprints-00016645
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Bormann, Helge ; De Brito, Mariana Madruga ; Charchousi, Despoina ; Chatzistratis, Dimitris ; David, Amrei ; Grosser, Paula Farina ; Kebschull, Jenny ; Konis, Alexandros ; Koutalakis, Paschalis ; Korali, Alkistis ; Krauzig, Naomi ; Meier, Jessica ; Meliadou, Varvara ; Meinhardt, Markus ; Munnelly, Kieran ; Stephan, Christiane ; De Vos, Leon Frederik ; Dietrich, Jörg ; Tzoraki, Ourania
Art des Eintrags: Zweitveröffentlichung
Titel: Impact of Hydrological Modellers’ Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model: Results from a ‘Modelling Contest’
Sprache: Englisch
Publikationsjahr: 16 Januar 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2018
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Hydrology
Jahrgang/Volume einer Zeitschrift: 5
(Heft-)Nummer: 4
Kollation: 13 Seiten
DOI: 10.26083/tuprints-00016645
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16645
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (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.

Freie Schlagworte: conceptual hydrological model, HBV, modellers’ decisions, model ensemble, modellers’ uncertainty
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-166451
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
600 Technik, Medizin, angewandte Wissenschaften > 624 Ingenieurbau und Umwelttechnik
900 Geschichte und Geografie > 910 Geografie, Reisen
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft > Fachgebiet Ingenieurhydrologie und Wasserbewirtschaftung
Hinterlegungsdatum: 16 Jan 2024 10:27
Letzte Änderung: 17 Jan 2024 14:52
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