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Hydrological Sciences Journal Volume 65, 2020 - Issue 7
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Articles

Assessing parameter identifiability for multiple performance criteria to constrain model parameters

Björn GuseDepartment of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University, Kiel, Germany;Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam, GermanyCorrespondence[email protected]
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Jens KieselDepartment of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University, Kiel, Germany;Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, GermanyView further author information
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Matthias PfannerstillDepartment of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University, Kiel, GermanyView further author information
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Nicola FohrerDepartment of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University, Kiel, GermanyView further author information
Pages 1158-1172 | Received 10 Sep 2018, Accepted 11 Dec 2019, Published online: 06 Mar 2020

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Eduardo Muñoz-Castro, Pablo A. Mendoza, Nicolás Vásquez & Ximena Vargas. (2023) Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models. Hydrological Sciences Journal 68:12, pages 1754-1768.
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Anna E. Sikorska-Senoner. (2021) Delineating modelling uncertainty in river flow indicators with representative parameter sets. Advances in Water Resources 156, pages 104024.
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Rodric M. Nonki, André Lenouo, Raphael M. Tshimanga, Francine C. Donfack & Clément Tchawoua. (2021) Performance assessment and uncertainty prediction of a daily time-step HBV-Light rainfall-runoff model for the Upper Benue River Basin, Northern Cameroon. Journal of Hydrology: Regional Studies 36, pages 100849.
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B. Guse, M. Pfannerstill, N. Fohrer & H. Gupta. (2020) Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria. Water Resources Research 56:9.
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