Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1307-2021
https://doi.org/10.5194/hess-25-1307-2021
Research article
 | 
18 Mar 2021
Research article |  | 18 Mar 2021

Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation

Lieke Anna Melsen and Björn Guse

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Cited articles

Abebe, N., Ogden, F., and Pradhan, N.: Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation, J. Hydrol., 389, 301–310, https://doi.org/10.1016/j.jhydrol.2010.06.007, 2010. a
Addor, N., Newman, A., Mizukami, N., and Clark, M.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, version 1.0., UCAR/NCAR, Boulder, CO, https://doi.org/10.5065/D6G73C3Q, 2017. a
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Tech. rep., SMHI Report RHO 7, Norrköping, 1976. a
Bergström, S.: The HBV model – its structure and applications, Tech. Rep. 4, SMHI reports hydrology, SMHI, Norrköping, Sweden, 1992. a
Beven, K.: Changing ideas in hydrology – The case of physically-based models, J. Hydrol., 105, 157–172, https://doi.org/10.1016/0022-1694(89)90101-7, 1989. a
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Short summary
Certain hydrological processes become more or less relevant when the climate changes. This should also be visible in the models that are used for long-term predictions of river flow as a consequence of climate change. We investigated this using three different models. The change in relevance should be reflected in how the parameters of the models are determined. In the different models, different processes become more relevant in the future: they disagree with each other.