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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/hess-2019-652
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2019-652
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 07 Jan 2020

Submitted as: research article | 07 Jan 2020

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A revised version of this preprint is currently under review for the journal HESS.

Why does a conceptual hydrological model fail to predict discharge changes in response to climate change?

Doris Duethmann1,2, Günter Blöschl1, and Juraj Parajka1 Doris Duethmann et al.
  • 1Institute for Hydraulic and Water Resources Engineering, Vienna University of Technology, Karlsplatz 13/223, 1040 Vienna, Austria
  • 2IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin, Müggelseedamm 310, 12587 Berlin, Germany

Abstract. Several studies have shown that hydrological models do not perform well when applied to periods with climate conditions that differ from those during model calibration. This has important implications for the application of these models in climate change impact studies. The causes of the low transferability to changed climate conditions have, however, only been investigated in a few studies. Here we revisit a study in Austria that demonstrated the inability of a conceptual model to simulate the discharge response to increases in precipitation and air temperature. The aim of the paper is to shed light on the reasons of these model problems. We set up hypotheses for the possible causes of the mismatch between the observed and simulated changes in discharge and evaluate these using simulations with modifications of the model. In the baseline model, trends of simulated and observed discharge over 1978–2013 differ, on average over all 156 catchments, by 92 ± 50 mm yr−1 per 35 yrs. Accounting for variations in vegetation dynamics, as derived from a satellite-based vegetation index, in the calculation of reference evaporation explains 35 ± 9 mm yr−1 per 35 yrs of the differences between the trends in simulated and observed discharge. Inhomogeneities in the precipitation data, caused by a variable number of stations explain 44 ± 28 mm yr−1 per 35 yrs of this difference. Extending the calibration period from 5 to 25 yrs, varying the objective function by including annually aggregated discharge data, or estimating evaporation with the Penman–Monteith instead of the Blaney–Criddle approach has little influence on the simulated discharge trends. The precipitation data problem highlights the importance of using precipitation data based on a stationary input station network when studying hydrologic changes. The model structure problem with respect to vegetation dynamics is likely relevant for a wide spectrum of regions in a transient climate and has important implications for climate change impact studies.

Doris Duethmann et al.

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Doris Duethmann et al.

Doris Duethmann et al.

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Short summary
In this study, we investigate why a conceptual hydrological model failed to predict changes in discharge in response to observed increases in precipitation and air temperature for 156 catchments in Austria. For that purpose, we test various hypotheses using simulations with variants of the model. The results show that the poor performance may largely be ascribed to two problems, a model structure that neglects changes in the vegetation dynamics and inhomogeneities in the precipitation input.
In this study, we investigate why a conceptual hydrological model failed to predict changes in...
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