Assessing parameter identifiability for multiple performance criteria to constrain model parameters-Reference-Cited by-同舟云学术

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Assessing parameter identifiability for multiple performance criteria to constrain model parameters

Published:2020-03-06 Issue:7 Volume:65 Page:1158-1172
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Guse Björn¹²,Kiesel Jens¹³,Pfannerstill Matthias¹,Fohrer Nicola¹

Affiliation:

1. Department of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University, Kiel, Germany

2. Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany

3. Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1734204

Reference54 articles.

1. Sensitivity and uncertainty analysis of the conceptual HBV rainfall–runoff model: Implications for parameter estimation

2. Hydrological Processes and Model Representation: Impact of Soft Data on Calibration

3. Multi-objective automatic calibration of SWAT using NSGA-II

4. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

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4. Sensitivity analysis in the wavelet domain: a comparison study;Stochastic Environmental Research and Risk Assessment;2024-01-12

5. Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization;Hydrology Research;2023-08-16

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